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title = {Inter-module credit assignment in modular reinforcement
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journal = {Neural Networks},
volume = {16},
number = {7},
year = {2003},
pages = {985-994},
ee = {http://dx.doi.org/10.1016/S0893-6080(02)00235-6},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
@incollection{otsuka2008,
title={Robust population coding in free-energy-based reinforcement learning},
author={Otsuka, Makoto and Yoshimoto, Junichiro and Doya, Kenji},
booktitle={Proc. Intl. Conf. on Artificial Neural Networks (ICANN)},
pages={377--386},
year={2008},
publisher={Springer}
}
@inproceedings{otsuka2010,
title={Free-energy-based reinforcement learning in a partially observable environment},
author={Otsuka, Makoto and Yoshimoto, Junichiro and Doya, Kenji},
booktitle={Proc. ESANN},
year={2010}
}
@incollection{elfwing2010,
title={Free-energy based reinforcement learning for vision-based navigation with high-dimensional sensory inputs},
author={Elfwing, Stefan and Otsuka, Makoto and Uchibe, Eiji and Doya, Kenji},
booktitle={Neural Information Processing. Theory and Algorithms (ICONIP)},
volume = {1},
pages={215--222},
year={2010},
publisher={Springer}
}
@PHDTHESIS{otsuka2010phd,
author = {Otsuka, Makoto},
title = {Goal-Oriented Representation of the External World: A Free-Energy-Based Approach},
school = {Nara Institute of Science and Technology},
year = {2010}
}
@book{eliasmith2004,
title={Neural engineering: computation, representation, and dynamics in neurobiological systems},
author={Eliasmith, Chris and Anderson, Charles H},
year={2004},
publisher={MIT Press}
}
@article{eliasmith2012,
title={A large-scale model of the functioning brain},
author={Eliasmith, Chris and Stewart, Terrence C and Choo, Xuan and Bekolay, Trevor and DeWolf, Travis and Tang, Yichuan and Rasmussen, Daniel},
journal={Science},
volume={338},
number={6111},
pages={1202--1205},
year={2012}
}
@book{eliasmith2013,
title = {How to build a brain: A neural architecture for biological cognition},
year = {2013},
publisher = {Oxford University Press},
organization = {Oxford University Press},
address = {New York, NY},
author = {Chris Eliasmith}
}
@article{shao2014,
author={Shao, L. and Wu, D. and Li, X.},
journal={IEEE Transactions on Neural Networks and Learning Systems},
title={Learning Deep and Wide: A Spectral Method for Learning Deep Networks},
year={2014}
}
@INPROCEEDINGS{diwu2014,
author={D. Wu and L. Shao},
booktitle={Proc. Conference on Computer Vision and Pattern Recognition (CVPR)},
title={Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition},
year={2014},
volume={},
number={},
pages={}
}
@ARTICLE{Wang91period-doublingsto,
author = {Xin Wang},
title = {Period-doublings to chaos in a simple neural network: An analytic proof},
journal = {Complex Systems},
year = {1991},
volume = {5},
pages = {425--441}
}
@InProceedings{mayer:iros06,
author = "Hermann Mayer and Faustino J. Gomez and Daan Wierstra
and Istvan Nagy and Alois Knoll and Juergen Schmidhuber",
title = "A System for Robotic Heart Surgery that Learns to
Tie Knots Using Recurrent Neural Networks",
booktitle = "Proceedings of the International Conference on
Intelligent Robotics and Systems (IROS-06, Beijing)",
year = 2006
}
@article{mayer2008,
title={A system for robotic heart surgery that learns to tie knots using recurrent neural networks},
author={Mayer, Hermann and Gomez, Faustino and Wierstra, Daan and Nagy, Istvan and Knoll, Alois and Schmidhuber, J{\"u}rgen},
journal={Advanced Robotics},
volume={22},
number={13-14},
pages={1521--1537},
year={2008},
publisher={Taylor \& Francis}
}
@InProceedings{polani:05,
author = "A. S. Klyubin and D. Polani and C. L. Nehaniv",
title = "Empowerment: A Universal Agent-Centric Measure of Control",
booktitle = "Congress on Evolutionary Ccomputation (CEC-05)",
OPTpages = {},
year = 2005,
address = "IEEE",
OPTeditor = {}
}
@ARTICLE{Schmidhuber:10ieeetamd,
author={Schmidhuber, J.},
journal={IEEE Transactions on Autonomous Mental Development},
title={Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990-2010)},
year={2010},
volume={2},
number={3},
pages={230-247},
keywords={active learning;aesthetics;creativity;data compression;event sequences;fun;intrinsic motivation;intrinsic reward;cognition;},
doi={10.1109/TAMD.2010.2056368},
ISSN={1943-0604},}
@inproceedings{togelius08geometric,
author = {Togelius, Julian and {De Nardi}, Renzo and Moraglio, Alberto},
booktitle = {Proceedings of the Congress on Evolutionary Comptutation (CEC)},
title = {{Geometric PSO + GP = Particle Swarm Programming}},
year = {2008}
}
@inproceedings{moraglio07geometric,
author = {Moraglio, Alberto and Togelius, Julian },
booktitle = {Proceedings of the Genetic and Evolutionary Computing Conference (GECCO)},
citeulike-article-id = {2380500},
keywords = {evolutionary},
priority = {2},
title = {Geometric particle swarm optimization for the Sudoku puzzle},
note = "{\em Togelius was working at IDSIA on SNF grant 21-113364 to J. Schmidhuber.}",
year = {2007}
}
@inproceedings{moraglio09geometric,
author = {Moraglio, Alberto and Togelius, Julian},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation},
title = {{Inertial Geometric Particle Swarm Optimization}},
year = {2009}
}
@inproceedings{moraglio06product,
annote = {$\backslash$em Togelius is working at IDSIA on SNF grant 21-113364 to J. Schmidhuber.},
author = {Moraglio, Alberto and Togelius, Julian and Lucas, Simon M},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
keywords = {evolutionary},
title = {{Product geometric crossover for the Sudoku puzzle}},
year = {2006}
}
@InProceedings{togelius:cec08:,
author = "Julian Togelius and Faustino J. Gomez and Juergen Schmidhuber",
title = "Learning What to Ignore: Memetic Climbing in Topology and Weight Space",
booktitle = "Congress on Evolutionary Ccomputation (CEC-08)",
OPTpages = {},
year = 2008,
address = "Hong Kong",
OPTeditor = {}
}
@InProceedings{togelius:ppsn08,
author = "J. Togelius and T. Schaul and J. Schmidhuber and F. J. Gomez",
title = "Memetic Neuroevolution: the Interplay between Weights and Topology",
booktitle = "International Conference on Parallel Problem Solving From Nature",
OPTpages = {},
year = 2008,
OPTeditor = {},
address = "Dortmund, DE",
month = "September"
}
@inproceedings{togelius:08cig,
author={Julian Togelius and Juergen Schmidhuber},
title={An Experiment in Automatic Game Design},
booktitle={Proceedings of the IEEE Symposium on Computational
Intelligence and Games},
year={2008}
}
@inproceedings{togelius:09cig,
author={J. Togelius and S. Karakovskiy and J. Koutn{\'i}k and J.
Schmidhuber},
title={Super Mario Evolution},
booktitle={Proceedings of the IEEE Symposium on Computational
Intelligence and Games},
year={2009}
}
@InProceedings{SalHinton07,
author= "R. Salakhutdinov and G. Hinton",
title= "Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure",
booktitle = "Proceedings of the International Conference on Artificial Intelligence and Statistics",
volume= "11",
year= "2007"
}
@article{stanley09,
author="K. O. Stanley and D. B. D'Ambrosio and J. Gauci",
title="A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks",
journal="Artificial Life",
volume={15},
number={2},
pages={185-212},
year={2009}
}
@InProceedings{stanley07,
author="D. B. D'Ambrosio and K. O. Stanley",
title="A novel generative encoding for exploiting neural network sensor and output geometry",
booktitle="Proceedings of the Conference on Genetic and Evolutionary Computation (GECCO)",
pages={974-981},
year={2007}
}
@article{clune2013modular,
title={The evolutionary origins of modularity},
author={Clune, Jeff and Mouret, Jean-Baptiste and Lipson, Hod},
journal={Proceedings of the Royal Society B: Biological Sciences},
volume={280},
number={1755},
pages={20122863},
year={2013}
}
@article{clune2011,
author = {Clune, J. and Stanley, K. O. and Pennock, R. T. and Ofria, C.},
title = {On the Performance of Indirect Encoding Across the Continuum of Regularity},
journal = {Trans. Evol. Comp},
volume = {15},
number = {3},
year = {2011},
issn = {1089-778X},
pages = {346--367},
publisher = {IEEE Press},
address = {Piscataway, NJ, USA}
}
@incollection{risi2010,
title={Indirectly encoding neural plasticity as a pattern of local rules},
author={Risi, Sebastian and Stanley, Kenneth O},
booktitle={Proc. 11th Intl. Conference on Simulation of Adaptive Behavior - From Animals to Animats},
pages={533--543},
year={2010},
publisher={Springer}
}
@inproceedings{risi2012,
title={A unified approach to evolving plasticity and neural geometry},
author={Risi, Sebastian and Stanley, Kenneth O},
booktitle={International Joint Conference on Neural Networks (IJCNN)},
pages={1--8},
year={2012},
organization={IEEE}
}
@Incollection{lindenmayer94,
author="C. Jacob and A. Lindenmayer and G. Rozenberg",
title="{Genetic L-System Programming}",
booktitle="Parallel Problem Solving from Nature III",
pages={},
series={Lecture Notes in Computer Science},
publisher = {Springer-Verlag},
year={1994}
}
@InProceedings{koutnik:agi10,
author = {J. Koutn\'{i}k and F. Gomez and J. Schmidhuber},
title = {Searching for Minimal Neural Networks in {Fourier} Space},
booktitle = {Proceedings of the 4th Annual Conference on Artificial General Intelligence},
year = {2010},
publisher = {Atlantis Press}
}
@InProceedings{koutnik:gecco10,
author = "J. Koutn{\'i}k and F. Gomez and J. Schmidhuber",
title = "Evolving Neural Networks in Compressed Weight Space",
booktitle={Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation},
pages={619--626},
year={2010}
}
@TechReport{koutnik:fourier:arxiv,
author = {Jan Koutn{\'i}k and Juergen Schmidhuber and Faustino Gomez},
title = {A Frequency-Domain Encoding for Neuroevolution},
institution = {arXiv:1212.6521},
year = {2012}
}
@techreport{clockwork2014,
author="Jan Koutn{\'i}k and Klaus Greff and Faustino Gomez and Juergen Schmidhuber",
title={{A Clockwork RNN}},
institution ={The Swiss AI Lab IDSIA},
number = {arXiv:1402.3511 [cs.NE]},
note={ICML'2014},
year ={2014}
}
% Published papers on objects + disentanglement
@inproceedings{metelli2018,
title={Policy optimization via importance sampling},
author={Metelli, Alberto Maria and Papini, Matteo and Faccio, Francesco and Restelli, Marcello},
booktitle={Advances in Neural Information Processing Systems},
pages={5442--5454},
year={2018}
}
@article{faccio2020parameter,
title={Parameter-based Value Functions},
author={Faccio, Francesco and Schmidhuber, J{\"u}rgen},
journal={Preprint arXiv:2006.09226},
year={2020}
}
@inproceedings{schlag2018tensor,
title={Learning to reason with third order tensor products},
author={Schlag, Imanol and Schmidhuber, J{\"u}rgen},
booktitle={Advances in neural information processing systems (NIPS)},
pages={9981--9993},
year={2018}
}
@article{schlag2019transformer,
title={Enhancing the transformer with explicit relational encoding for math problem solving},
author={Schlag, Imanol and Smolensky, Paul and Fernandez, Roland and Jojic, Nebojsa and Schmidhuber, J{\"u}rgen and Gao, Jianfeng},
journal={Preprint arXiv:1910.06611},
year={2019}
}
@article{kolda2009tensor,
title={Tensor decompositions and applications},
author={Kolda, Tamara G and Bader, Brett W},
journal={SIAM review},
volume={51},
number={3},
pages={455--500},
year={2009},
publisher={SIAM}
}
@article{kruskal1989,
title={Rank, decomposition, and uniqueness for 3-way and N-way arrays},
author={Kruskal, Joseph B},
journal={Multiway data analysis},
pages={7--18},
year={1989},
publisher={North Holland}
}
@inproceedings{munkhdalai2019,
title={Metalearned neural memory},
author={Munkhdalai, Tsendsuren and Sordoni, Alessandro and Wang, Tong and Trischler, Adam},
booktitle={Advances in Neural Information Processing Systems},
pages={13310--13321},
year={2019}
}
@inproceedings{steenkiste2018relational,
title={Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions},
author={Sjoerd van Steenkiste and Michael Chang and Klaus Greff and J{\"u}rgen Schmidhuber},
booktitle={International Conference on Learning Representations},
year={2018},
}
@inproceedings{steenkiste2019disentangled,
title={Are Disentangled Representations Helpful for Abstract Visual Reasoning?},
author={van Steenkiste, Sjoerd and Locatello, Francesco and Schmidhuber, J{\"u}rgen and Bachem, Olivier},
booktitle={Advances in Neural Information Processing Systems},
pages={14222--14235},
year={2019}
}
@article{steenkiste2020investigating,
title = "Investigating object compositionality in Generative Adversarial Networks",
journal = "Neural Networks",
volume = "130",
pages = "309 - 325",
year = "2020",
issn = "0893-6080",
doi = "https://doi.org/10.1016/j.neunet.2020.07.007",
author = "Sjoerd {van Steenkiste} and Karol Kurach and J{\"u}rgen Schmidhuber and Sylvain Gelly",
}
@article{greff2017neural_workshop,
title={Neural expectation maximization},
author={Greff, Klaus and van Steenkiste, Sjoerd and Schmidhuber, J{\"u}rgen},
journal = {International Conference on Learning Representations, Workshop Track},
year = {2017},
}
@article{steenkiste2017relational_workshop,
title={Relational Neural Expectation Maximization},
author={Sjoerd van Steenkiste and Michael Chang and Klaus Greff and J{\"u}rgen Schmidhuber},
journal={Neural Information Processing Systems (NIPS) Workshop on Cognitively Informed Artificial Intelligence},
year={2017},
}
@article{steenkiste2018case,
title={A case for object compositionality in deep generative models of images},
author={van Steenkiste, Sjoerd and Kurach, Karol and Gelly, Sylvain},
journal={Neural Information Processing Systems (NeurIPS) Workshop on Modeling the Physical World: Perception, Learning, and Control},
year={2018}
}
@article{steenkiste2019perspective,
title={A perspective on objects and systematic generalization in model-based rl},
author={van Steenkiste, Sjoerd and Greff, Klaus and Schmidhuber, J{\"u}rgen},
journal={International Conference on Machine Learning (ICML) Workshop on Generative Modeling and Model-Based Reasoning for Robotics and AI},
year={2019}
}
@article{stanic2020hierarchical,
title={Hierarchical Relational Inference},
author={Stani{\'c}, Aleksandar and van Steenkiste, Sjoerd and Schmidhuber, J{\"u}rgen},
journal={International Conference on Machine Learning (ICML) Workshop on Object-Oriented Learning: Perception, Representation, and Reasoning},
year={2020}
}
@article{gopalakrishnan2020,
title={Unsupervised Object Keypoint Learning using Local Spatial Predictability},
author={Gopalakrishnan, Anand and van Steenkiste, Sjoerd and Schmidhuber, J{\"u}rgen},
journal={International Conference on Machine Learning (ICML) Workshop on Object-Oriented Learning: Perception, Representation, and Reasoning},
year={2020}
}
@inproceedings{kirsch2020improving,
title={Improving Generalizationin Meta Reinforcement Learning using Learned Objectives},
author={Louis Kirsch and Sjoerd van Steenkiste and J{\"u}rgen Schmidhuber},
booktitle={International Conference on Learning Representations},
year={2020},
}
@article{csordas2020neural,
title={Are Neural Nets Modular? Inspecting Their Functionality Through Differentiable Weight Masks},
author={Csord{\'a}s, Robert and van Steenkiste, Sjoerd and Schmidhuber, J{\"u}rgen},
journal={International Conference on Machine Learning (ICML) Workshop on on Human Interpretability in Machine Learning (WHI)},
year={2020}
}
@inproceedings{steenkiste2016wavelet,
Address = {New York, NY, USA},
Author = {van Steenkiste, Sjoerd and Koutn\'{\i}k, Jan and Driessens, Kurt and Schmidhuber, J\"{u}rgen},
Booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference 2016},
Pages = {517--524},
Publisher = {ACM},
Series = {GECCO '16},
Title = {A Wavelet-based Encoding for Neuroevolution},
Year = {2016}}
@incollection{greff2017neural,
Author = {Greff, Klaus and van Steenkiste, Sjoerd and Schmidhuber, J\"{u}rgen},
Booktitle = {Advances in Neural Information Processing Systems 30},
Editor = {I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett},
Pages = {6673--6685},
Publisher = {Curran Associates, Inc.},
Title = {Neural Expectation Maximization},
Year = {2017}}
@TechReport{koutnik:techreport2011,
author = {J. Koutn{\'i}k and F. Gomez and J. Schmidhuber},
title = {Fourier Networks},
institution = {IDSIA},
year = {2011},
number = {IDSIA-02-11},
note = {Submitted}
}
@InProceedings{ppsn2012cncs,
author = {F. J. Gomez and
J. Koutn\'{\i}k and
J. Schmidhuber},
title={Compressed Networks Complexity Search},
booktitle={Parallel Problem Solving from Nature (PPSN~2012)},
year={2012},
editor={Springer},
pages={}
}
@inproceedings{DBLP:conf/gecco/GomezKS12,
author = {F. J. Gomez and
J. Koutn\'{\i}k and
J. Schmidhuber},
title = {Complexity search for compressed neural networks},
booktitle = {GECCO (Companion)},
year = {2012},
pages = {1455-1456},
ee = {http://doi.acm.org/10.1145/2330784.2330987},
crossref = {DBLP:conf/gecco/2012c},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
@proceedings{DBLP:conf/gecco/2012c,
editor = {T. Soule and
J. H. Moore},
title = {Genetic and Evolutionary Computation Conference, GECCO '12,
Philadelphia, PA, USA, July 7-11, 2012, Companion Material
Proceedings},
booktitle = {GECCO (Companion)},
publisher = {ACM},
year = {2012},
isbn = {978-1-4503-1178-6},
ee = {http://dl.acm.org/citation.cfm?id=2330784},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
@inproceedings{vanhoorn:09cig,
author={N. van Hoorn and J. Togelius and J. Schmidhuber},
title={Hierarchical Controller Learning in a First-Person Shooter},
booktitle={Proceedings of the IEEE Symposium on Computational
Intelligence and Games},
year={2009}
}
@inproceedings{vanhoorn09robust,
author = {van Hoorn, Niels and Togelius, Julian and Wierstra, Daan and Schmidhuber, J\"{u}rgen},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (in press)},
file = {:C$\backslash$:/Users/Tom/Documents/IDSIA/Vanhoorn2009Robust.pdf:pdf},
title = {{Robust player imitation using multiobjective evolution}},
year = {2009}
}
@inproceedings{vSkin2012,
title={Reflexive Collision Response with Virtual Skin - Roadmap Planning Meets Reinforcement Learning},
author={Frank, M. and F\"{o}rster, A. and Schmidhuber, J.},
booktitle={International Conference on Agents and Artificial Intelligence},
pages={642-651},
year={2012}
}
@article{schmidhuber2015scholarpedia,
title={Deep Learning},
author={Schmidhuber, Juergen},
journal={Scholarpedia},
volume={10},
number={11},
pages={32832},
year={2015}
}
@article{scholarpedia2010,
Author = {T. Schaul and J. Schmidhuber},
Journal = {Scholarpedia},
Number = {5},
Pages = {4650},
Title = {Metalearning},
Volume = {6},
Year = {2010}}
@article{rueckstiess2010a,
Author = {T. R{\"u}ckstie{\ss} and F. Sehnke and T. Schaul and D. Wierstra and S. Yi and J. Schmidhuber},
Journal = {Paladyn Journal of Behavioral Robotics},
Number = {1},
Pages = {14-24},
Title = {Exploring Parameter Space in Reinforcement Learning},
Volume = {1},
Year = {2010}}
@article{sehnke2009parameter,
Author = {Sehnke, F. and Osendorfer, C. and R{\"u}ckstie{\ss}, T. and Graves, A. and Peters, J. and Schmidhuber, J.},
Journal = {Neural Networks},
Keywords = {Policy gradients; Stochastic optimisation; Reinforcement learning; Robotics; Control},
Number = {4},
Pages = {551--559},
Title = {Parameter-exploring Policy Gradients},
Volume = {23},
Year = {2010},
publisher={Elsevier}}
@inproceedings{kompella11ijcai,
author = {V. R. Kompella and
M. D. Luciw and
J. Schmidhuber},
title = {Incremental Slow Feature Analysis},
booktitle = {IJCAI},
year = {2011},
pages = {1354-1359},
ee = {http://ijcai.org/papers11/Papers/IJCAI11-229.pdf},
crossref = {DBLP:conf/ijcai/2011},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
@proceedings{DBLP:conf/ijcai/2011,
editor = {Toby Walsh},
title = {IJCAI 2011, Proceedings of the 22nd International Joint
Conference on Artificial Intelligence, Barcelona, Catalonia,
Spain, July 16-22, 2011},
booktitle = {IJCAI},
publisher = {IJCAI/AAAI},
year = {2011},
isbn = {978-1-57735-516-8},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
@INPROCEEDINGS{kompella2011,
author = {V. R. Kompella and L. Pape and J. Masci and M. Frank and J. Schmidhuber},
title = {{AutoIncSFA} and Vision-based Developmental Learning for Humanoid Robots},
booktitle = {IEEE-RAS International Conference on Humanoid Robots},
year = {2011},
address = {Bled, Slovenia},
owner = {Owner},
timestamp = {2011.09.28}
}
@ARTICLE{Kompella2011arxiv,
author = {V. R. Kompella and M. D. Luciw and J. Schmidhuber},
title = {Incremental Slow Feature Analysis: Adaptive and Episodic Learning
from High-Dimensional Input Streams},
journal = {CoRR},
year = {2011},
volume = {abs/1112.2113},
bibsource = {DBLP, http://dblp.uni-trier.de},
ee = {http://arxiv.org/abs/1112.2113}
}
@article{kompella12aaai,
author = {V. R. Kompella and
M. D. Luciw and
M. Stollenga and
L. Pape and
J. Schmidhuber},
title = {Curiosity-Driven Modular Incremental Slow Feature Analysis for Autonomous Multi-Skill Learning},
booktitle = {submitted to AAAI-12},
year = {2012}
}
@ARTICLE{Jodogne07,
author = {S. R. Jodogne and J. H. Piater},
title = {Closed-Loop Learning of Visual Control Policies},
journal = {J. Artificial Intelligence Research},
year = {2007},
volume = {28},
pages = {349-391}
}
@article{zhang2012slow,
title={Slow feature analysis for human action recognition},
author={Zhang, Zhang and Tao, Dacheng},
journal={Pattern Analysis and Machine Intelligence, IEEE Transactions on},
volume={34},
number={3},
pages={436--450},
year={2012},
publisher={IEEE}
}
@inproceedings{schuldt2004recognizing,
title={Recognizing human actions: a local SVM approach},
author={Schuldt, Christian and Laptev, Ivan and Caputo, Barbara},
booktitle={Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on},
volume={3},
pages={32--36},
year={2004},
organization={IEEE}
}
@article{ActionsAsSpaceTimeShapes_pami07,
author = {Lena Gorelick and Moshe Blank and Eli Shechtman and Michal Irani and Ronen Basri},
title = {Actions as Space-Time Shapes},
journal = {Transactions on Pattern Analysis and Machine Intelligence},
volume = {29},
number = {12},
pages = {2247--2253},
month = {December},
year = {2007},
ee = {www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html}
}
@INPROCEEDINGS{luciw:icdl2011,
author = {M. Luciw and V. Graziano and M. Ring and J. Schmidhuber},
title = {Artificial Curiosity with Planning for Autonomous Perceptual and
Cognitive Development},
booktitle = {Proceedings of the First Joint Conference on Development
Learning and on Epigenetic Robotics ICDL-EPIROB},
address = {Frankfurt},
month = {August},
year = {2011}
}
@INPROCEEDINGS{ring:icdl2011,
author = {M. Ring and T. Schaul and J. Schmidhuber},
title = {The two-dimensional organization of behavior},
booktitle = {Proceedings of the First Joint Conference on Development
Learning and on Epigenetic Robotics ICDL-EPIROB},
address = {Frankfurt},
month = {August},
year = {2011}
}
@INPROCEEDINGS{Zheng:2011,
author={Song, Z. and Chen, Q. and Huang, Z. and Hua, Y. and Yan, S.},
booktitle={2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
title={Contextualizing object detection and classification},
year={2011},
volume={},
number={},
pages={1585 -1592},
doi={10.1109/CVPR.2011.5995330},
ISSN={1063-6919}}
@article{Ojala:1996,
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author = "Jan Koutn{\'i}k and Giuseppe Cuccu and Juergen Schmidhuber and Faustino Gomez",
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author = {B. Bakker and J. Schmidhuber},
title = {Hierarchical Reinforcement Learning Based on Subgoal
Discovery and Subpolicy Specialization},
booktitle = "Proc. 8th Conference on Intelligent Autonomous Systems IAS-8",
editor = "F. Groen et al.",
publisher = "IOS Press",
pages = "438-445",
address = "Amsterdam, NL",
year = {2004}}
@inproceedings{Zhumatiy:06ias,
author = {V. Zhumatiy and F. J. Gomez and M. Hutter and J. Schmidhuber},
title = {Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot},
booktitle = "Proc. 9th Conference on Intelligent Autonomous Systems IAS-9",
editor = "",
publisher = "IOS Press",
pages = "",
address = "Tokyo, Japan",
year = {2006}}
@inproceedings{Schmidhuber:03nips,
author = {J. Schmidhuber},
title = {Bias-Optimal Incremental Problem Solving},
booktitle = "Advances in Neural Information Processing Systems 15 (NIPS 15)",
editor = "S. Becker and S. Thrun and K. Obermayer",
publisher = "MIT Press",
pages = "1571--1578",
address = "Cambridge, MA",
year = {2003}}
@inproceedings{Schmidhuber:03nipstmp,
author = {J. Schmidhuber},
title = {Bias-Optimal Incremental Problem Solving},
booktitle =
{Advances in Neural Information Processing Systems NIPS 15},
editor={},
publisher={MIT Press, Cambridge, MA},
pages = {},
note = {Available at http://www.nips.cc/NIPS2002/NIPS2002preproceedings/
or http://www.idsia.ch/\~{ }juergen/oops.html},
year = {2003}}
@incollection{Schmidhuber:06ai75,
author = {J. Schmidhuber},
title = {2006: Celebrating 75 years of {AI} -
History and Outlook: the Next 25 Years},
booktitle ={50 Years of Artificial Intelligence},
editor={M. Lungarella and F. Iida and J. Bongard and R. Pfeifer},
note = {Preprint available as arXiv:0708.4311},
publisher = {Springer Berlin / Heidelberg},
pages={29-41},
volume={LNAI 4850},
year = {2007}}
@incollection{Schmidhuber:05gmai,
author = {J. Schmidhuber},
title = {G\"{o}del machines:
Fully Self-Referential Optimal Universal Self-Improvers},
booktitle = {Artificial General Intelligence},
editor={B. Goertzel and C. Pennachin},
note = {Variant available as arXiv:cs.LO/0309048},
publisher = {Springer Verlag},
pages={199-226},
year = {2006}}
@incollection{Schmidhuber:07gmai,
author = {J. Schmidhuber},
title = {G\"{o}del machines:
Fully Self-Referential Optimal Universal Self-Improvers},
booktitle = {Artificial General Intelligence},
editor={B. Goertzel and C. Pennachin},
note = {Variant available as arXiv:cs.LO/0309048},
publisher = {Springer Verlag},
pages={199-226},
year = {2007}}
@incollection{Schmidhuber:05gmconscious,
author = {J. Schmidhuber},
title = {G\"{o}del machines:
Towards a Technical Justification of Consciousness},
booktitle = {Adaptive Agents and Multi-Agent Systems III (LNCS 3394)},
editor={D. Kudenko and D. Kazakov and E. Alonso},
publisher = {Springer Verlag},
pages={1-23},
year = {2005}}
@article{schmidhuber2020mir,
title={Deep Learning: Our Miraculous Year 1990-1991},
author={Schmidhuber, Juergen},
journal={Preprint arXiv:2005.05744},
year={2020}
}
@misc{Schmidhuber:04rnn,
author = {J. Schmidhuber},
title = {{RNN} overview, with links to a dozen journal publications},
note = {http://www.idsia.ch/\~{ }juergen/rnn.html},
year = {2004}}
@misc{Schmidhuber:08rnn,
author = {J. Schmidhuber},
title = {{RNN} overview, with links to numerous journal publications},
note = {http://www.idsia.ch/\~{ }juergen/rnn.html},
year = {2008}}
@misc{Schmidhuber:12rnn,
author = {J. Schmidhuber},
title = {{RNN} overview, with links to numerous journal publications},
note = {http://www.idsia.ch/\~{ }juergen/rnn.html},
year = {2012}}
@misc{Schmidhuber:04rl,
author = {J. Schmidhuber},
title = {Overview of reinforcement learning and {POMDPs}, with links to numerous publications},
note = {http://www.idsia.ch/\~{ }juergen/rl.html},
year = {2004}}
@misc{Schmidhuber:08rl,
author = {J. Schmidhuber},
title = {Overview of reinforcement learning and {POMDPs}, with links to numerous publications},
note = {http://www.idsia.ch/\~{ }juergen/rl.html},
year = {2008}}
@misc{Schmidhuber:04cur,
author = {J. Schmidhuber},
title = {Overview of artificial curiosity and active exploration,
with links to publications since 1990},
note = {http://www.idsia.ch/\~{ }juergen/interest.html},
year = {2004}}
@misc{Schmidhuber:12cur,
author = {J. Schmidhuber},
title = {Overviews of artificial curiosity/creativity and active exploration
(with links to publications since 1990)},
note = {http://www.idsia.ch/\~{ }juergen/interest.html, http://www.idsia.ch/\~{ }juergen/creativity.html},
year = {2012}}
@misc{Schmidhuber:04gmhtml,
author = {J. Schmidhuber},
title ={G\"{o}del machine home page, with frequently asked questions},
note = {http://www.idsia.ch/\~{ }juergen/goedelmachine.html},
year = {2004}}
@misc{Schmidhuber:04subgoals,
author = {J. Schmidhuber},
title = {{Overview of work on hierarchical
learning and automatic subgoal generation, with a dozen publications}},
note = {http://www.idsia.ch/\~{ }juergen/subgoals.html},
year = {2004}}
@misc{Schmidhuber:04learningrobots,
author = {J. Schmidhuber},
title = {{Overview of work on robot learning, with publications}},
note = {http://www.idsia.ch/\~{ }juergen/learningrobots.html},
year = {2004}}
@misc{Schmidhuber:04unilearn,
author = {J. Schmidhuber},
title = {{Universal Predictors and Learners (overview),
with links to journal publications by M. Hutter and J. Schmidhuber}},
note = {http://www.idsia.ch/\~{ }juergen/unilearn.html},
year = {2004}}
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author = {S. Lohmeier and K. Loeffler and M. Gienger and H. Ulbrich and F. Pfeiffer},
title = {Sensor System and Trajectory Control of a Biped Robot},
booktitle = "Proc. 8th IEEE International Workshop on Advanced Motion
Control (AMC'04), Kawasaki, Japan",
pages ="393-398",
year = {2004}}
@inproceedings{Schmidhuber:02nips,
author = {J. Schmidhuber},
title = {Bias-Optimal Incremental Problem Solving},
booktitle =
{Advances in Neural Information Processing Systems (NIPS) 15},
editor={},
publisher={MIT Press, Cambridge, MA},
pages = {},
note = {To appear},
year = {2002}}
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year = "2007"
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author = "J. Poland and M. Hutter",
title = "Universal Learning of Repeated Matrix Games",
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pages = "7--14",
address = "Ghent",
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xpublisher = "",
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year = "2006"
}
@Book{Hutter:04book+,
author = "M. Hutter",
title = "Universal Artificial Intelligence:
Sequential Decisions based on Algorithmic Probability",
publisher = "Springer",
address = "Berlin",
note = "(On J. Schmidhuber's SNF grant 20-61847)",
year = "2004"}
@Book{Hutter:05book+,
author = "M. Hutter",
title = "Universal Artificial Intelligence:
Sequential Decisions based on Algorithmic Probability",
publisher = "Springer",
address = "Berlin",
note = "(On J. Schmidhuber's SNF grant 20-61847)",
year = "2005"}
@Incollection{Hutter:03aixigentle,
author = "M. Hutter",
title = "A Gentle Introduction to The Universal Algorithmic Agent {AIXI}",
booktitle = {Artificial General Intelligence},
editor = "B. Goertzel and C. Pennachin",
publisher = "Springer",
note = {Accepted},
year = "2006"}
@Incollection{Schmidhuber:03grandai,
author = "J. Schmidhuber",
title = "Towards Solving the Grand Problem of {AI}",
booktitle = "Soft Computing and complex systems",
editor = "P. Quaresma and A. Dourado and E. Costa and J. F. Costa",
publisher = "Centro Internacional de Mathematica, Coimbra, Portugal",
pages = "77-97",
note = {Based on \cite{Schmidhuber:03newai}},
year = "2003"}
@techreport{Schmidhuber:03newai1,
author = "J. Schmidhuber",
title = "The New {AI}: General \& Sound \& Relevant for Physics",
number = {TR IDSIA-04-03, Version 1.0, arXiv:cs.AI/0302012 v1},
month = {February},
year = "2003"}
@techreport{schmidhuber2014deep,
author = "J. Schmidhuber",
title = "Deep Learning in Neural Networks: An Overview",
institution ={The Swiss AI Lab IDSIA},
number = {IDSIA-03-14 / arXiv:1404.7828v1 [cs.NE]},
year = "2014"}
@techreport{800refs,
author = "J. Schmidhuber",
title = "Deep Learning in Neural Networks: An Overview",
institution ={The Swiss AI Lab IDSIA},
number = {IDSIA-03-14 / arXiv:1404.7828 [cs.NE]},
note = {A detailed overview of the state of the art, with over 850 references. {\em Neural Networks}, in press},
year = "2014"}
@techreport{888refs,
author = "J. Schmidhuber",
title = "Deep Learning in Neural Networks: An Overview",
institution ={The Swiss AI Lab IDSIA},
number = {IDSIA-03-14 / arXiv:1404.7828 [cs.NE]},
note = {A detailed overview of the state of the art, with 888 references. {\em Neural Networks}, in press},
year = "2014"}
@article{888,
author = "J. Schmidhuber",
title = "Deep Learning in Neural Networks: An Overview",
journal = "Neural Networks",
pages = "85-117",
volume = "61",
doi = "10.1016/j.neunet.2014.09.003",
note = "Published online 2014; 888 references; based on TR arXiv:1404.7828 [cs.NE]",
year = "2015"}
@techreport{Schmidhuber:11powerplay,
author = "J. Schmidhuber",
title = "{{\sc PowerPlay}: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem}",
institution="IDSIA",
number = {arXiv:1112.5309v1 [cs.AI]},
year = "2011"}
@techreport{Schmidhuber:12slimnn,
author = "J. Schmidhuber",
title = "Self-Delimiting Neural Networks",
institution ={The Swiss AI Lab IDSIA},
number = {IDSIA-08-12, arXiv:1210.0118v1 [cs.NE]},
year = "2012"}
@techreport{mydeep2013,
author = "J. Schmidhuber",
title = "My First {Deep Learning} System of 1991 $+$ {Deep Learning} Timeline 1962-2013",
institution="The Swiss AI Lab IDSIA",
number = {arXiv:1312.5548v1 [cs.NE]},
year = "2013"}
@techreport{powerplay2012experiments,
author = "R. K. Srivastava and B. R. Steunebrink and J. Schmidhuber",
title = "{First Experiments with {\sc PowerPlay}}",
number = {arXiv:1210.8385v1 [cs.AI], www.deeplearning.me},
year = "2012"}
@article{Schmidhuber:13powerplay,
author = "J. Schmidhuber",
title = "{{\sc PowerPlay}: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem}",
journal = {Frontiers in Psychology},
doi = "10.3389/fpsyg.2013.00313",
year = "2013"}
@article{powerplay2011and13,
author = "J. Schmidhuber",
title = "{{\sc PowerPlay}: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem}",
journal = {Frontiers in Psychology},
doi = "10.3389/fpsyg.2013.00313",
note={(Based on arXiv:1112.5309v1 [cs.AI], 2011)},
year = "2013"}
@article{powerplay2013nn,
author = "R. K. Srivastava and B. R. Steunebrink and J. Schmidhuber",
title = "{First Experiments with {\sc PowerPlay}}",
journal = {Neural Networks},
issn = "0893-6080",
doi = "10.1016/j.neunet.2013.01.022",
year = "2013"}
@Incollection{Schmidhuber:03newai,
author = "J. Schmidhuber",
title = "The New {AI}: General \& Sound \& Relevant for Physics",
editor = "B. Goertzel and C. Pennachin",
booktitle = {Artificial General Intelligence},
publisher = "Springer",
pages={175-198},
note = {Also available as TR IDSIA-04-03, arXiv:cs.AI/0302012},
year = "2006"}
@INPROCEEDINGS{steunebrink13agi,
author = {Steunebrink, Bas R. and Koutn\'{i}k, Jan and Th\'orisson, Kristinn R. and Nivel, Eric and Schmidhuber, J\"urgen},
title = {Resource-Bounded Machines are Motivated to be Effective, Efficient, and 97bia},
booktitle = {Proceedings of the 6th Conference on Artificial General Intelligence (AGI 2013)},
year = {2013},
editor = {K.-U. K\"uhnberger and S. Rudolph and P. Wang},
series = {LNAI 7999},
pages = {119--129},
address = {Heidelberg},
publisher = {Springer}
}
@TECHREPORT{aera13tr,
author = {Nivel, Eric and Th\'orisson, Kristinn R. and Steunebrink, Bas R. and Dindo, Haris and Pezzulo, Giovanni and Rodriguez, Manuel and Hernandez, Carlos and Ognibene, Dimitri and Schmidhuber, J\"urgen and Sanz, Ricardo and Helgason, Helgi P. and Chella, Antonio and Jonsson, Gudberg K.},
title = {Bounded Recursive Self-Improvement},
institution = {Reykjavik University},
year = {2013},
number = {RUTR-SCS13006},
url = {http://arxiv.org/abs/1312.6764}
}
@article{rueckstiess2011a,
Author = {T. R{\"u}ckstie{\ss} and J. Schmidhuber},
Journal = {The Python Papers},
Number = {1},
Pages = {2},
Title = {A Python Experiment Suite},
Volume = {6},
Year = {2011}}
@article{rueckstiess2011b,
Author = {T. R{\"u}ckstie{\ss} and J. Schmidhuber},
Journal = {The Python Papers Source Codes},
Title = {{Python Experiment Suite Implementation}},
Volume = {2:4},
Year = {2011}}
@INPROCEEDINGS{Hung2011,
author={Hung Ngo and Mark Ring and J{\"u}rgen Schmidhuber},
title={Compression Progress-Based Curiosity Drive for Developmental Learning},
booktitle={Proceedings of the 2011 IEEE Conference on Development and Learning and Epigenetic Robotics (IEEE ICDL-EPIROB 2011},
url={http://www.im-clever.eu/publications/publications/pdfs/conferencereference.2012-01-09.1655355920.pdf},
publisher={IEEE},
year={2011}
}
@INPROCEEDINGS{rupesh2012icdl,
Author={R. K. Srivastava and B. R. Steunebrink and M. Stollenga and J. Schmidhuber},
Title={Continually Adding Self-Invented Problems to the Repertoire: First Experiments with {\sc PowerPlay}},
booktitle="Proceedings of the 2012 IEEE Conference on Development and Learning and Epigenetic Robotics IEEE-ICDL-EPIROB",
Editor="",
Volume="",
Number="",
Pages="",
Publisher="IEEE",
Year="2012"
}
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Author={G. Cuccu and M. Luciw and J. Schmidhuber and F. Gomez},
Title={Intrinsically Motivated Evolutionary Search for Vision-Based Reinforcement Learning},
booktitle="Proceedings of the 2011 IEEE Conference on Development and Learning and Epigenetic Robotics IEEE-ICDL-EPIROB",
Editor="",
volume={2},
pages={1--7},
Publisher="IEEE",
Year="2011"
}
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author = {J. Masci and
U. Meier and
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J. Schmidhuber},
title = {Stacked Convolutional Auto-Encoders for Hierarchical Feature
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year = {2011},
pages = {52-59},
ee = {http://dx.doi.org/10.1007/978-3-642-21735-7_7},
crossref = {DBLP:conf/icann/2011-1},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
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W. Duch and
M. A. Girolami and
S. Kaski},
title = {Artificial Neural Networks and Machine Learning - ICANN
2011 - 21st International Conference on Artificial Neural
Networks, Espoo, Finland, June 14-17, 2011, Proceedings,
Part I},
booktitle = {ICANN (1)},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {6791},
year = {2011},
isbn = {978-3-642-21734-0},
ee = {http://dx.doi.org/10.1007/978-3-642-21735-7},
bibsource = {DBLP, http://dblp.uni-trier.de}
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@INPROCEEDINGS{foerster-esann07,
AUTHOR = { A. F{\"o}rster and A. Graves and J. Schmidhuber},
TITLE = {{RNN-based Learning of Compact Maps for Efficient Robot Localization}},
BOOKTITLE = {{15th European Symposium on Artificial Neural Networks, ESANN}},
YEAR = {2007},
MONTH={April},
PAGES = {537-542},
ADDRESS = {Bruges, Belgium},
ISBN={2-930307-07-2}
}
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author = {J. Schmidhuber},
title = {A Formal Theory of Creativity to Model the Creation of Art.},
booktitle ={Computational Creativity},
editor={J. McCormack and M. d'Inverno},
publisher = {MIT Press},
pages={},
volume={},
year = {2012}}
@INPROCEEDINGS{glasmachers:2010b,
TITLE = {Exponential Natural Evolution Strategies},
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pages={393--400},
year={2010},
organization={ACM}
}
@INPROCEEDINGS{glasmachers:2010c,
TITLE = {{A Natural Evolution Strategy for Multi-Objective Optimization}},
AUTHOR = {T. Glasmachers and T. Schaul and J. Schmidhuber},
BOOKTITLE = {Parallel Problem Solving from Nature (PPSN) XI},
YEAR = {2010},
}
@INPROCEEDINGS{glasmachers:2010d,
TITLE = {{Universal Consistency of Multi-Class Support Vector Classifiation}},
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BOOKTITLE = {Advances in Neural Information Processing Systems (NIPS)},
YEAR = {2010},
}
@inproceedings{Sun2009,
author = {Sun, Yi and Wierstra, D. and Schaul, T. and Schmidhuber, J.},
booktitle = {International Conference on Machine Learning (ICML)},
issue = {1},
keywords = {Evolution Strategies,Natural Gradient,Optimization,Pole-balancing,evolution strategies,natural gradient,stochastic search},
title = {Stochastic Search using the Natural Gradient},
year = {2009}
}
@inproceedings{Sun2009a,
author = {Sun, Yi and Wierstra, D. and Schaul, T. and Schmidhuber, J.},
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title = {Efficient Natural Evolution Strategies},
pages={539--546},
year = {2009}
}
@article{nes2011arxiv,
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year={2011}
}
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YEAR = {2002},
volume = {12},
number = {6},
pages = {447--465},
key = {p007}
}
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author = {Z. Zeng and R. Goodman and P. Smyth},
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pages={197--210},
year={2000},
publisher={Taylor \& Francis}
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AUTHOR = {S. Ulam},
TITLE = {Random Processes and Transformations},
BOOKTITLE = {Proceedings of the International Congress on Mathematics},
YEAR = {1950},
Volume = {2},
PAGES = {264-275}
}
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crossref = "ecp-97",
AUTHOR = "J. Koehler and B. Nebel and J. Hoffmann and Y. Dimopoulos",
TITLE = "Extending Planning Graphs to an {ADL} Subset",
PAGES = "273--285"}
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key = "ECP-97",
booktitle = "Proceedings of the 4th European Conference on Planning",
title = "Proceedings of the 4th European Conference on Planning",
editor = "S. Steel",
SERIES = "LNAI",
VOLUME = "1348",
publisher = "Springer",
year = 1997 }
@article{Landauer:61,
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title = {Irreversibility and heat generation in the computing process},
journal = {IBM Journal of Research and Development},
volume = {5},
number = {3},
year = {1961},
issn = {0018-8646},
pages = {183--191},
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AUTHOR = "E. F. Fredkin and T. Toffoli",
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JOURNAL = "International Journal of Theoretical Physics",
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NUMBER = "3/4",
YEAR = "1982",
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@inproceedings{pasemann01icann,
author = {M. H\"{u}lse and B. Lara and F. Pasemann and U. Steinmetz},
title = "Evolving neural behavior control for autonomous robots",
booktitle= "Lecture Notes on Comp. Sci. 2130,
Proc. Intl. Conf. on Artificial Neural Networks (ICANN-2001)",
editors = "G. Dorffner and H. Bischof and K. Hornik",
publisher= "Springer: Berlin, Heidelberg",
pages = "957-962",
year = "2001"}
@misc{pasemann04,
author = {M. H\"{u}lse and K. Zahedi and F. Pasemann},
title = "Representing Robot-Environment Interactions
by Dynamical Features of Neuro-Controllers",
booktitle = "Anticipatory Behavior in Adaptive Learning Systems",
publisher="LNAI, Springer",
year = "2004"}
@article{pasemann01,
author = {F. Pasemann and U. Steinmetz and M. H\"{u}lse and B. Lara},
title = "Robot Control and the Evolution of Modular Neurodynamics",
journal= "Theory in Biosciences",
volume="120",
pages="311-326",
year = "2001"}
@inproceedings{rueckstiess2008b,
Author = {T. R{\"u}ckstie{\ss} and M. Felder and J. Schmidhuber},
Booktitle = {European Conference on Machine Learning (ECML) and Principles and Practice of Knowledge Discovery in Databases 2008, Part II, LNAI 5212},
Editor = {W. Daelemans et al.},
Pages = {234--249},
Title = {{State-Dependent Exploration} for Policy Gradient Methods},
Year = {2008}}
@inproceedings{rueckstiess2008a,
Author = {T. R{\"u}ckstie{\ss} and M. Felder and F. Sehnke and J. Schmidhuber},
Booktitle = {1st International Workshop on Cognition for Technical Systems},
Title = {Robot Learning with State-Dependent Exploration},
Year = {2008}}
@inproceedings{sehnke2008a,
Author = {F. Sehnke and T. R{\"u}ckstie{\ss} and J. Schmidhuber},
Booktitle = {1st International Workshop on Cognition for Technical Systems},
Title = {Parametric Policy Gradients for Robotics},
Year = {2008}}
@inproceedings{sehnke2008b,
Author = {F. Sehnke and C. Osendorfer and T. R{\"u}ckstie{\ss} and A. Graves and J. Peters and J. Schmidhuber},
Booktitle = {Proceedings of the International Conference on Artificial Neural Networks ICANN},
Title = {Policy Gradients with Parameter-based Exploration for Control},
Year = {2008}}
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author = "F. Pasemann and U. Steinmetz and U. Dieckman",
title = "Evolving Structure and Function of Neurocontrollers",
booktitle = "Proceedings of the Congress on Evolutionary Computation",
volume = "3",
month = "6-9",
publisher = "IEEE Press",
address = "Mayflower Hotel, Washington D.C., USA",
editor = "P. J. Angeline and Z. Michalewicz and M. Schoenauer and X. Yao and A. Zalzala",
pages = "1973--1978",
year = "1999"}
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AUTHOR = "C. H. Bennett",
TITLE = "The Thermodynamics of Computation, a Review",
JOURNAL = "International Journal of Theoretical Physics",
VOLUME = "21",
YEAR = "1982",
NUMBER = "12",
PAGES = "905--940" }
@ARTICLE{Bennett-73,
AUTHOR = "C.~H. Bennett",
TITLE = "Logical Reversibility of Computation",
JOURNAL = "IJRD",
VOLUME = "17",
NUMBER = "6",
YEAR = "1973",
PAGES = "525--532" }
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author = {M. Li and J. J. Clark},
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year = {2004}}
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author = {A. Vahed and C. W. Omlin},
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PAGES = "59-71",
year = {2004}}
@Article{Omlin:96,
author = {C.W. Omlin and C. L. Giles},
title = {Extraction of Rules from Discrete-Time Recurrent Neural Networks},
journal = {Neural Networks},
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NUMBER = "1",
PAGES = "41-52",
year = {1996}}
@article{weber2008,
title={A sparse generative model of {V1} simple cells with intrinsic plasticity},
author={Weber, Cornelius and Triesch, Jochen},
journal={Neural Computation},
volume={20},
number={5},
pages={1261--1284},
year={2008}
}
@article{falconbridge2006,
title={A simple {Hebbian/anti-Hebbian} network learns the sparse, independent components of natural images},
author={Falconbridge, Michael S and Stamps, Robert L and Badcock, David R},
journal={Neural Computation},
volume={18},
number={2},
pages={415--429},
year={2006}
}
@article{Riesenhuber:99,
author = {M. Riesenhuber and T. Poggio},
title ={Hierarchical Models of object recognition in cortex},
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volume = {2},
number = {11},
year = {1999}}
@inproceedings{serre2002,
title={On the role of object-specific features for real world object recognition in biological vision},
author={Serre, Thomas and Riesenhuber, Maximilian and Louie, Jennifer and Poggio, Tomaso},
booktitle={Biologically Motivated Computer Vision},
pages={387--397},
year={2002}
}
@techreport{serre2004,
title={Realistic modeling of simple and complex cell tuning in the {HMAX} model, and implications for invariant object recognition in cortex},
author={Serre, Thomas and Riesenhuber, Maximilian},
year={2004},
institution={DTIC Document}
}
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author = {H. E. Egeth and S. Yantis},
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author = {J. Schmidhuber and F. Gers and D. Eck},
title = {Learning Nonregular Languages: A Comparison
of Simple Recurrent Networks and {LSTM}},
journal = {Neural Computation},
VOLUME = "14",
NUMBER = "9",
PAGES = "2039-2041",
year = {2002}}
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author = {D. Eck},
title = {A Network of Relaxation Oscillators that Finds Downbeats
in Rhythms},
booktitle = {{Artificial Neural Networks -- ICANN 2001 (Proceedings)}},
editor = {Georg Dorffner},
volume = {},
pages = {1239--1247},
publisher = {Springer},
address = {Berlin},
year = 2001,
ps = {papers/2001_icann.ps.gz},
pdf = {papers/2001_icann.pdf},
source = {OwnPublication}}
@Article{ Eck:2002downbeats,
author = {D. Eck},
title = {Finding Downbeats with a Relaxation Oscillator},
journal = "Psychological Research",
year = {2002},
volume = {66},
number = {1},
pages = {18--25},
ps = {papers/2002_psyres.ps.gz},
pdf = {papers/2002_psyres.pdf}}
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author = {D. Eck},
title = {A Positive-Evidence Model for Rhythmical Beat Induction},
journal = {Journal of New Music Research},
year = {2001},
volume = {30},
number = {2},
pages = {187--200},
ps = {papers/2001_jnmr.ps.gz},
pdf = {papers/2001_jnmr.pdf},
source = {OwnPublication},
abstract =
{The Normalized Positive (NPOS) model is a rule-based model that predicts
downbeat location and pattern complexity in rhythmical patterns. Though
derived from several existing models, the NPOS model is particularly
effective at making correct predictions while at the same time having
low complexity. In this paper, the details of the model are explored
and a comparison is made to existing models. Several datasets are used
to examine the complexity predictions of the model. Special attention
is paid to the model's ability to account for the effects of musical
experience on beat induction.} }
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author = {D. Eck and J. Schmidhuber},
title = {Learning The Long-Term Structure of the Blues},
booktitle = {{Artificial Neural Networks -- ICANN 2002}},
editor = {J. Dorronsoro},
pages = {284--289},
publisher = {Springer},
address = {Berlin},
year = 2002,
}
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MIT Technical Translation AZT-70-164-GEMIT,
Massachusetts Institute of Technology
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author = "D. Hochbaum (editor)",
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editor={N. Baba and L.C. Jain},
publisher = {Springer Verlag, Berlin},
pages={},
year = {2001}}
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author={J. Schmidhuber},
title={{Speed Prior} and Optimal Simulation of the Future},
booktitle={Proceedings of the Business and Industry Symposium, 2002 Advanced
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series = "Simulation Series",
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number = {4},
editor = "M. Ades and L. M. Deschaine",
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address = "San Diego, California",
year={2002}}
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author={J. Schmidhuber},
title={The {Speed Prior:} A New Simplicity Measure Yielding
Near-Optimal Computable Predictions},
booktitle={Proceedings of the 15th Annual Conference on
Computational Learning Theory (COLT 2002)},
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editor = "J. Kivinen and R. H. Sloan",
publisher = "Springer",
pages = "216--228",
address = "Sydney, Australia",
year={2002}}
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EDITOR={T. G. Dietterich and S. Becker and Z. Ghahramani},
pages={1475--1482},
PUBLISHER = "MIT Press",
ADDRESS={Cambridge, MA}}
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pages = {163--217},
publisher = {MIT Press},
address = {Cambridge, MA, USA},
}
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isbn = {1-55860-556-8},
pages = {118--126},
publisher = {Morgan Kaufmann Publishers Inc.},
address = {San Francisco, CA, USA},
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year = {1998},
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pages = {2278-2324},
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year = "1995"
}
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}
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pages = "30-37",
year = "1995",
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}
@inproceedings{Cook:71,
author = "Stephen A. Cook",
title = "The complexity of theorem-proving procedures",
booktitle = "Proceedings of the 3rd Annual ACM Symposium on the Theory of Computing (STOC'71)",
pages = "151--158",
publisher = {ACM, New York},
year = "1971"
}
@article{Tsitsiklis:97,
author = {J. Tsitsiklis and B. Van Roy},
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number = {5},
year = {1997},
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}
@INPROCEEDINGS{96-BradtkeLstd,
author = {Steven J. Bradtke and Andrew G. Barto and Leslie Pack Kaelbling},
title = {Linear Least-squares Algorithms for Temporal Difference Learning},
booktitle = {Machine Learning},
year = {1996},
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@INPROCEEDINGS{10-OlLspi,
author = {Lucian Busoniu and Damien Ernst and Bart {De Schutter} and Robert
Babuska},
title = {Online Least-squares Policy Iteration for Reinforcement Learning
Control},
booktitle = {ACC'10},
year = {2010},
pages = {486 -491},
file = {:D\:\\Papers\\10.Online least-squares policy iteration for reinforcement learning control.pdf:PDF},
issn = {0743-1619}
}
@ARTICLE{04-PopMCIS,
author = {Olivier Cappe and Arnaud Guillin and Jean-Michel Marin and Christian
P. Robert and Christian P. Robertyz},
title = {Population Monte Carlo},
journal = {Journal of Computational and Graphical Statistics},
year = {2004},
volume = {13},
pages = {907--929},
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@ARTICLE{95-BayesExp,
author = {Kathryn Chaloner and Isabella Verdinelli},
title = {Bayesian Experimental Design: A Review},
journal = {Statistical Science},
year = {1995},
volume = {10},
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@ARTICLE{05-IneqDigamma,
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title = {Inequalities for the Polygamma Functions with Application},
journal = {General Mathematics},
year = {2005},
volume = {13},
pages = {65-72},
number = {3},
file = {:D\:\\Papers\\05.Inequalities for the polygamma functions with application.pdf:PDF}
}
@TECHREPORT{03-EvoMCMC,
author = {Madalina M. Drugan and Dirk Thierens},
title = {Evolutionary Markov chain Monte Carlo},
institution = {institute of information and computing sciences, utrecht university},
year = {2003},
type = {Technical Report},
number = {UU-CS-2003-047},
file = {:D\:\\Papers\\03.Evolutionary Markov chain Monte Carlo.pdf:PDF},
owner = {Sun Yi},
timestamp = {2011.03.06}
}
@ARTICLE{87-HMC,
author = {Simon Duane and A.~D.~Kennedy and Brian J.~Pendleton and Duncan Roweth},
title = {Hybrid Monte Carlo},
journal = {Physics Letters B},
year = {1987},
volume = {195},
pages = {216-222},
number = {2},
month = {September},
booktitle = {Physics Letters B},
file = {:D\:\\Papers\\87.Hybrid Monte Carlo.pdf:PDF},
publisher = {Elsevier Science Publishers B.V.}
}
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author = {N. Etemadi},
title = {An Elementary Proof of the Strong Law of Large Numbers},
journal = {Probability Theory and Related Fields},
year = {1981},
volume = {55},
pages = {119-122},
number = {1},
file = {:D\:\\Papers\\81.An Elementary proof of the strong law of large numbers.pdf:PDF}
}
@inproceedings{Bradtke:93,
author = {S. J. Bradtke},
title = {Reinforcement Learning Applied to Linear Quadratic Regulation},
booktitle = {Advances in Neural Information Processing Systems (NIPS) 5},
year = {1993},
isbn = {1-55860-274-7},
pages = {295--302},
publisher = {Morgan Kaufmann Publishers Inc.},
address = {San Francisco, CA, USA},
}
@TechReport{atari2013,
author = "V. Mnih and K. Kavukcuoglu and D. Silver and A. Graves and I. Antonoglou and D. Wierstra and M. Riedmiller",
title = "Playing {Atari} with Deep Reinforcement Learning",
institution = "Deepmind Technologies",
number = "arXiv:1312.5602 [cs.LG]",
year = "Dec 2013"
}
@article{rusu2015policy,
title={Policy distillation},
author={Rusu, Andrei A and Colmenarejo, Sergio Gomez and Gulcehre, Caglar and Desjardins, Guillaume and Kirkpatrick, James and Pascanu, Razvan and Mnih, Volodymyr and Kavukcuoglu, Koray and Hadsell, Raia},
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}
@article{rusu2016progressive,
title={Progressive neural networks},
author={Rusu, Andrei A and Rabinowitz, Neil C and Desjardins, Guillaume and Soyer, Hubert and Kirkpatrick, James and Kavukcuoglu, Koray and Pascanu, Razvan and Hadsell, Raia},
journal={Preprint arXiv:1606.04671},
year={2016}
}
@inproceedings{progressive2018,
title={Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control},
author={Glen Berseth and Cheng Xie and Paul Cernek and Michiel Van de Panne},
booktitle={Proc. International Conference on Learning Representations (ICLR); Preprint arXiv:1802.04765v1},
year={2018}
}
@inproceedings{dosovitskiy2017,
title={Learning to act by predicting the future},
author={Dosovitskiy, Alexey and Koltun, Vladlen},
booktitle={Proc. International Conference on Learning Representations (ICLR 2017)},
journal={arXiv preprint arXiv:1611.01779},
year={2017}
}
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% these two are the same, different keys (Jan)
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author ={J. Schmidhuber},
title ={G\"{o}del machines: self-referential universal problem
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address={Manno-Lugano, Switzerland},
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year ={2003}}
@techreport{Schmidhuber:03gm2,
author ={J. Schmidhuber},
title ={G\"{o}del machines: self-referential universal problem
solvers making provably optimal self-improvements},
number ={IDSIA-19-03, arXiv:cs.LO/0309048 v2},
institution ={IDSIA},
address={Manno-Lugano, Switzerland},
month = {October},
year ={2003}}
@techreport{Schmidhuber:03gm1,
author ={J. Schmidhuber},
title ={G\"{o}del machines: self-referential universal problem
solvers making provably optimal self-improvements},
number ={IDSIA-19-03, arXiv:cs.LO/0309048 v1},
institution ={IDSIA},
address={Manno-Lugano, Switzerland},
month = {September},
year = {2003}}
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author ={J. Schmidhuber},
title ={Optimal Ordered Problem Solver},
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month = {July},
year = {2002}}
@techreport{Schmidhuber:02oops,
author ={J. Schmidhuber},
title ={Optimal Ordered Problem Solver},
number ={IDSIA-12-02, arXiv:cs.AI/0207097},
institution ={IDSIA},
address={Manno-Lugano, Switzerland},
year = {2002}}
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author ={J. Schmidhuber},
title ={Optimal Ordered Problem Solver},
number ={IDSIA-12-02},
institution ={IDSIA},
address={Manno-Lugano, Switzerland},
note = {Available at arXiv:cs.AI/0207097 or
http://www.idsia.ch/\~{ }juergen/oops.html.
{\em Machine Learning Journal}, Kluwer, 2003, accepted},
year = {2002}}
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author = "M. Hutter",
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author = "M. Hutter",
title = "Self-Optimizing and {P}areto-Optimal Policies in
General Environments based on {B}ayes-Mixtures",
series = "Lecture Notes in Artificial Intelligence",
editor = "J. Kivinen and R. H. Sloan",
pages = "364--379",
address = "Sydney, Australia",
booktitle = "Proceedings of the 15th Annual Conference
on Computational Learning Theory (COLT 2002)",
publisher = "Springer",
note = "(On J. Schmidhuber's SNF grant 20-61847)",
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-04-02.ps.gz",
year = "2002",
}
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publisher = "World Scientific",
volume = "13",
number = "3",
pages = "431--443",
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note = "(On J. Schmidhuber's SNF grant 20-61847)",
ftp= "ftp://ftp.idsia.ch/pub/techrep/IDSIA-16-00.ps.gz",
url = "http://arxiv.org/abs/cs.CC/0102018",
}
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editor = "L. De Raedt and P. Flach",
publisher = "Springer",
series = "Lecture Notes in Artificial Intelligence (LNAI 2167)",
note = "(On J. Schmidhuber's SNF grant 20-61847)",
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-14-00.ps.gz",
url = "http://arxiv.org/abs/cs.AI/0012011",
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author = "M. Hutter",
number = "TR IDSIA-14-00, cs.AI/0012011",
institution = "IDSIA",
title = "Towards a Universal Theory of Artificial Intelligence based on
Algorithmic Probability and Sequential Decisions",
year = "2001",
pages = "226--238",
address = "Manno(Lugano), CH",
journal = "Proceedings of the 12$^{th}$ European Conference on Machine
Learning (ECML-2001)",
editor = "L. De Raedt and P. Flach",
publisher = "Springer",
series = "Lecture Notes in Artificial Intelligence (LNAI 2167)",
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url = "http://arxiv.org/abs/cs.AI/0012011",
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title = "Convergence and Error bounds of Universal Prediction for
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journal = "Proceedings of the 12th European Conference on Machine
Learning (ECML-2001)",
year = "2001",
address = "Manno(Lugano), CH",
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-07-01.ps.gz",
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author = "M. Hutter",
number = "TR IDSIA-07-01, cs.AI/0103015",
institution = "IDSIA",
title = "Convergence and Error bounds of Universal Prediction for
General Alphabet",
journal = "Proceedings of the 12th European Conference on Machine
Learning (ECML-2001)",
year = "2001",
address = "Manno(Lugano), CH",
note = "(On J. Schmidhuber's SNF grant 20-61847)",
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-07-01.ps.gz",
url = "http://arxiv.org/abs/cs.LG/0106036",
}
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institution = "IDSIA",
address = "Manno(Lugano), CH",
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author = "M. Hutter",
number = "TR IDSIA-16-00-v1, cs.CC/0102018",
institution = "IDSIA",
title = "An effective Procedure for Speeding up Algorithms",
address = "Manno(Lugano), CH",
note = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-16-00-v1.ps.gz",
year = {2000}}
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author = "M. Hutter",
title = "General Loss Bounds for Universal Sequence Prediction",
booktitle = "Proceedings of the $18^{th}$ International Conference on
Machine Learning (ICML-2001)",
editor = "C. E. Brodley and A. P. Danyluk",
publisher = "Morgan Kaufmann",
pages = "210--217",
note = "(On J. Schmidhuber's SNF grant 20-61847)",
year = {2001},
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-03-01.ps.gz",
url = "http://arxiv.org/abs/cs.AI/0101019",
}
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author = "M. Hutter",
title = "General Loss Bounds for Universal Sequence Prediction",
note = "TR IDSIA-03-01, IDSIA, Switzerland, Jan 2001, cs.AI/0101019",
booktitle = "Proceedings of the $18^{th}$ International Conference on
Machine Learning (ICML-2001)",
editor = "C. E. Brodley and A. P. Danyluk",
publisher = "Morgan Kaufmann",
pages = "210--217",
year = {2001},
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-03-01.ps.gz",
url = "http://arxiv.org/abs/cs.AI/0101019",
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author = "M. Hutter",
number = "IDSIA-14-00 (cs.AI/0004001)",
institution = "IDSIA",
title = "A Theory of Universal Artificial Intelligence based on Algorithmic Complexity",
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address = "Manno (Lugano), CH",
year = "2000"
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author = "M. Hutter",
institution = "Istituto Dalle Molle di Studi sull'Intelligenza Artificiale",
title = "Optimality of Universal Prediction for General Loss and Alphabet",
year = "2002",
keywords = "Induction; Solomonoff, Bayesian, deterministic prediction;
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@techreport{Hochreiter:98lococode,
author = {S. Hochreiter and J. Schmidhuber},
title = {{LOCOCODE}},
institution = {Fakult\"{a}t f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-222-97, Revised Version},
year = {1998}}
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author = {S. Hochreiter and J. Schmidhuber},
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institution = {Fakult\"{a}t f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-222-97 (revised version)},
note = {Submitted to {\em Neural Computation}. Available per {FTP}
{\tt ftp://ftp.idsia.ch/pub/juergen/lococode.ps.gz} or
{\tt ftp://flop.informatik.tu-muenchen.de/pub/fki/fki-222-97rev.ps.gz}},
year = {1998}}
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author = {S. Hochreiter and J. Schmidhuber},
title = {Feature extraction through {LOCOCODE}},
institution = {Fakult\"{a}t f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-222-97 (revised version)},
note = {Submitted to {\em Neural Computation}},
year = {1998}}
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@INPROCEEDINGS{koray-cvpr-09,
author = {Kavukcuoglu, K. and Ranzato, M. and Fergus, R. and
LeCun, Y.},
title = {Learning Invariant Features through Topographic Filter Maps},
booktitle = {Proc. International Conference on Computer Vision and Pattern Recognition
(CVPR'09)},
year = {2009},
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pages = {1985-1989},
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keywords = {feature extraction, handwritten character recognition, image classification,
image coding, principal component analysis, support vector machines,
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component analysis, sparse-coding strategy, state-of-the-art classification,
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key = {Lecun}
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author = {LeCun, Y.},
title = {A theoretical framework for Back-Propagation},
booktitle = {Proceedings of the 1988 Connectionist Models Summer School},
year = {1988},
editor = {Touretzky, D. and Hinton, G. and Sejnowski, T.},
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@PHDTHESIS{lecun-87,
author = {LeCun, Y.},
title = {Modeles connexionnistes de l'apprentissage (connectionist learning
models)},
school = {Universit\'e P. et M. Curie (Paris 6)},
year = {1987},
month = {June},
original = {orig/lecun-87.tiff}
}
@INPROCEEDINGS{lecun-85,
author = {LeCun, Y.},
title = {Une proc\'edure d'apprentissage pour r\'eseau a seuil asymmetrique
(a Learning Scheme for Asymmetric Threshold Networks)},
booktitle = {Proceedings of Cognitiva 85},
year = {1985},
pages = {599-604},
address = {Paris, France},
key = {Lecun},
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author = {LeCun, Y. and Bengio, Y.},
title = {Convolutional Networks for Images, Speech, and Time-Series},
booktitle = {The Handbook of Brain Theory and Neural Networks},
year = {1995},
editor = {Arbib, M. A.},
publisher = {MIT Press},
original = {orig/lecun-bengio-95a.ps.gz}
}
@INPROCEEDINGS{lecun-bengio-95b,
author = {LeCun, Y. and Bengio, Y.},
title = {Pattern Recognition and Neural Networks},
booktitle = {The Handbook of Brain Theory and Neural Networks},
year = {1995},
editor = {Arbib, M. A.},
publisher = {MIT Press},
original = {orig/lecun-bengio-95b.ps.gz}
}
@INPROCEEDINGS{lecun-bengio-94,
author = {LeCun, Y. and Bengio, Y.},
title = {word-level training of a handwritten word recognizer based on convolutional
neural networks},
booktitle = {Proc. of the International Conference on Pattern Recognition},
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}
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author = {LeCun, Y. and Bengio, Y. and Henderson, D. and Weisbuch, A. and Weissman,
H. and Jackel L.},
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author = {LeCun, Y. and Boser, B. and Denker, J. S. and Henderson, D. and Howard,
R. E. and Hubbard, W. and Jackel, L. D.},
title = {Handwritten digit recognition with a back-propagation network},
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year = {1992},
editor = {Lisboa P.G.J.},
publisher = {Chappman and Hall}
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author = {LeCun, Y. and Boser, B. and Denker, J. S. and Henderson, D. and Howard,
R. E. and Hubbard, W. and Jackel, L. D.},
title = {Handwritten digit recognition with a back-propagation network},
booktitle = {Advances in Neural Information Processing Systems 2 (NIPS*89)},
year = {1990},
editor = {Touretzky, David},
address = {Denver, CO},
publisher = {Morgan Kaufman},
original = {orig/lecun-90c.ps.gz}
}
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author = {LeCun, Y. and Boser, B. and Denker, J. S. and Henderson, D. and Howard,
R. E. and Hubbard, W. and Jackel, L. D.},
title = {Backpropagation Applied to Handwritten Zip Code Recognition},
journal = {Neural Computation},
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volume = {1},
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number = {4},
month = {Winter},
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}
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author = {LeCun, Y. and Boser, B. and Denker, J. S. and Henderson, D. and Howard,
R. E. and Hubbard, W. and Jackel, L. D. and Baird H. S.},
title = {Constrained Neural Network for Unconstrained Handwritten Digit Recognition},
booktitle = {Frontiers in Handwriting Recognition},
year = {1990},
editor = {Suen, C},
address = {Montreal},
publisher = {CENPARMI, Concordia University}
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@TECHREPORT{lecun-bottou-02,
author = {LeCun, Y. and Bottou, L.},
title = {Lush Reference Manual},
year = {2002},
note = {code available at http://lush.sourceforge.net},
url = {http://lush.sourceforge.net}
}
@INPROCEEDINGS{lecun-bottou-bengio-97,
author = {LeCun, Y. and Bottou, L. and Bengio, Y.},
title = {Reading Checks with graph transformer networks},
booktitle = {International Conference on Acoustics, Speech, and Signal Processing},
year = {1997},
volume = {1},
pages = {151-154},
address = {Munich},
publisher = {IEEE},
original = {orig/lecun-bottou-bengio-97.ps.gz}
}
@INPROCEEDINGS{lecun-01a,
author = {LeCun, Y. and Bottou, L. and Bengio, Y. and Haffner, P.},
title = {Gradient-Based Learning Applied to Document Recognition},
booktitle = {Intelligent Signal Processing},
year = {2001},
pages = {306-351},
publisher = {IEEE Press},
editors = {Haykin, S. and Kosko, B.},
original = {orig/lecun-01a.ps.gz}
}
@ARTICLE{lecun:1998,
author = {LeCun, Y. and Bottou, L. and Bengio, Y. and Haffner, P.},
title = {Gradient-Based Learning Applied to Document Recognition},
journal = {Proceedings of the IEEE},
year = {1998},
volume = {86},
pages = {2278-2324},
number = {11},
month = {November},
original = {orig/lecun-98.ps.gz}
}
@INPROCEEDINGS{lecun-01,
author = {LeCun, Y. and Bottou, L. and Erofeev, A. and Haffner, P. and Riemers,
W.},
title = {DjVu Document Browsing with On-Demand loading and rendering of image
components},
booktitle = {Internet Imaging},
year = {2001},
address = {San Jose},
month = {January},
original = {orig/lecun-01.ps.gz}
}
@INPROCEEDINGS{lecun-98c,
author = {LeCun, Y. and Bottou, L. and Haffner, P. and Howard, P.},
title = {DjVu: a compression method for distributing scanned documents in
color over the internet},
booktitle = {Color 6},
year = {1998},
publisher = {IST},
original = {orig/lecun-98c.ps.gz}
}
@INPROCEEDINGS{lecun-98b,
author = {LeCun, Y. and Bottou, L. and Orr, G. and Muller, K.},
title = {Efficient BackProp},
booktitle = {Neural Networks: Tricks of the trade},
year = {1998},
editor = {Orr, G. and Muller K.},
publisher = {Springer},
original = {orig/lecun-98b.ps.gz}
}
@UNPUBLISHED{lecun-bottou-88,
author = {LeCun, Y. and Bottou, {L\'{e}on-Yves}},
title = {{SN}: A Simulator For Connectionist Models},
note = {User Manual},
month = {March},
year = {1988}
}
@inproceedings{heess2012,
Author = {Heess, Nicolas and Silver, David and Teh, Yee Whye},
Booktitle = {Proc. European Workshop on Reinforcement Learning},
Pages = {43--57},
Title = {Actor-critic reinforcement learning with energy-based policies},
Year = {2012}}
@article{sallans2004,
Author = {Sallans, B. and Hinton, G.},
Journal = {Journal of Machine Learning Research},
Pages = {1063--1088},
Title = {Reinforcement learning with factored states and actions},
Volume = {5},
Year = {2004}}
@INPROCEEDINGS{lecun-06,
author = {LeCun, Y. and Chopra, S. and Hadsell, R. and Ranzato, M.
and Huang, F.},
title = {A Tutorial on Energy-Based Learning},
booktitle = {Predicting Structured Data},
year = {2006},
editor = {Bakir, G. and Hofman, T. and {Sch\"olkopf}, B. and Smola, A. and
Taskar, B.},
publisher = {MIT Press},
original = {orig/lecun-06.pdf}
}
@INPROCEEDINGS{lecun-icdar-keynote-07,
author = {LeCun, Y. and Chopra, S. and Ranzato, M. and Huang, F.},
title = {Energy-Based Models in Document Recognition and Computer Vision},
booktitle = {Proc. International Conference on Document Analysis and Recognition
(ICDAR)},
year = {2007},
note = {(keynote address)},
original = {orig/lecun-icdar-keynote-07.pdf}
}
@INPROCEEDINGS{denker-lecun-93,
author = {LeCun, Yann and Denker, John S.},
title = {Natural versus Universal Probability Complexity, and Entropy},
booktitle = {IEEE Workshop on the Physics of Computation},
year = {1992},
pages = {122-127},
publisher = {IEEE},
original = {orig/denker-lecun-93.tiff}
}
@INPROCEEDINGS{lecun-90b,
author = {LeCun, Yann and Denker, J. S. and Solla, S. and Howard, R. E. and
Jackel, L. D.},
title = {Optimal Brain Damage},
booktitle = {Advances in Neural Information Processing Systems 2 (NIPS*89)},
year = {1990},
editor = {Touretzky, David},
address = {Denver, CO},
publisher = {Morgan Kaufman},
original = {orig/lecun-90b.ps.gz}
}
@ARTICLE{lecun-87b,
author = {LeCun, Y. and Fogelman-Soulie, F.},
title = {Modeles connexionnistes de l'apprentissage},
journal = {Intellectica, special issue apprentissage et machine},
year = {1987},
month = {March},
original = {orig/lecun-87b.tiff}
}
@INPROCEEDINGS{lecun-89b,
author = {LeCun, Y. and Galland, C. C. and Hinton, G. E.},
title = {GEMINI: Gradient estimation through matrix inversion after noise
injection},
booktitle = {Advances in Neural Information Processing Systems 1 (NIPS*88)},
year = {1989},
editor = {Touretzky, David},
address = {Denver, CO},
publisher = {Morgan Kaufman},
original = {orig/lecun-89b.djvu}
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@InProceedings{11-ecmlVG,
author = {Vincent Graziano and Jan Koutn\'ik and J{\"u}rgen Schmidhuber},
title = {Unsupervised Modeling of Partially Observable Environments},
booktitle = {Proceedings of the European Conference on Machine Learning (ECML-11)},
year = {2011}
}
@INPROCEEDINGS{lecun-99,
author = {LeCun, Y. and Haffner, P. and Bottou, L. and Bengio, Y.},
title = {Object Recognition with Gradient-Based Learning},
booktitle = {Feature Grouping},
year = {1999},
editor = {Forsyth, D.},
publisher = {Springer},
original = {orig/lecun-99.ps.gz}
}
@INPROCEEDINGS{lecun:2004,
author = {LeCun, Y. and Huang, F. and Bottou, L.},
title = {Learning Methods for Generic Object Recognition with Invariance to
Pose and Lighting},
booktitle = {Proc. of Computer Vision and Pattern Recognition Conference},
year = {2004}
}
@INPROCEEDINGS{lecun-huang-05,
author = {LeCun, Yann and Huang, {Fu Jie}},
title = {Loss Functions for Discriminative Training of Energy-Based Models},
booktitle = {Proc. of the 10-th International Workshop on Artificial Intelligence
and Statistics (AIStats'05) },
year = {2005},
original = {orig/lecun-huang-05.ps.gz}
}
@INPROCEEDINGS{lecun-89d,
author = {LeCun, Y. and Jackel, L. D. and Boser, B. and Denker, J. S. and Graf,
H. P. and Guyon, I. and Henderson, D. and Howard, R. E. and Hubbard,
W.},
title = {Handwritten Digit Recognition: Applications of Neural Net Chips and
Automatic Learning},
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year = {1989},
editor = {Fogelman, F. and Herault, J. and Burnod, Y.},
address = {Les Arcs, France},
publisher = {Springer}
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@INPROCEEDINGS{lecun-92,
author = {LeCun, Y. and Jackel, L. D. and Boser, B. and Denker, J. S. and Graf,
H. P. and Guyon, I. and Henderson, D. and Howard, R. E. and Hubbard,
W.},
title = {Handwritten Digit Recognition: Applications of Neural Net Chips and
Automatic Learning},
booktitle = {Artificial Neural Networks},
year = {1992},
editor = {{Sanchez-Sinencio}, E. and Lau, C.},
pages = {463-468},
publisher = {IEEE press}
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@ARTICLE{lecun-89c,
author = {LeCun, Y. and Jackel, L. D. and Boser, B. and Denker, J. S. and Graf,
H. P. and Guyon, I. and Henderson, D. and Howard, R. E. and Hubbard,
W.},
title = {Handwritten Digit Recognition: Applications of Neural Net Chips and
Automatic Learning},
journal = {IEEE Communication},
year = {1989},
pages = {41-46},
month = {November},
note = {invited paper},
original = {orig/lecun-89c.tiff}
}
@INPROCEEDINGS{lecun-95b,
author = {LeCun, Y. and Jackel, L. D. and Bottou, L. and Brunot, A. and Cortes,
C. and Denker, J. S. and Drucker, H. and Guyon, I. and Muller, U.
A. and Sackinger, E. and Simard, P. and Vapnik, V.},
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pages = {53-60},
address = {Paris},
publisher = {EC2 \& Cie},
original = {orig/lecun-95b.ps.gz}
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author = {J. Schmidhuber},
title = {The {Neural Heat Exchanger}},
note = {Talk presented at {Technische Universit\"{a}t M\"{u}nchen}.
The same talk was given at University of Colorado at Boulder (1992),
at various other institutions, and at {Zhaoping Li's NIPS*94} workshop
on unsupervised learning.},
year = {1990}}
@misc{Schmidhuber:90heat1,
author = {J. Schmidhuber},
title = {The {Neural Heat Exchanger}},
note = {{Talks presented at TU Munich (1990),
University of Colorado at Boulder (1992),
and Zhaoping Li's NIPS*94 workshop on unsupervised learning}},
year = {1990}}
@inproceedings{Schmidhuber:96iconip,
author = {J. Schmidhuber},
title = {The Neural Heat Exchanger},
booktitle =
{Proceedings of the Intl. Conference
on Neural Information Processing},
editors={S. Amari and L. Xu and L. Chan and I. King and K. Leung},
volume={1},
pages={194-197},
publisher = {Springer},
year = {1996}}
@misc{heat90-96,
author = {J. Schmidhuber},
title = {The {Neural Heat Exchanger}},
note = {{Talks at TU Munich (1990),
University of Colorado at Boulder (1992),
and Z. Li's NIPS*94 workshop on unsupervised learning. Also published at the {\em Intl. Conference
on Neural Information Processing} (ICONIP'96), vol. 1, pages 194-197, 1996}},
year = {1990}}
@incollection{Schmidhuber:89-1,
author = {J. Schmidhuber},
title = {Accelerated Learning in Back-Propagation Nets},
booktitle = {Connectionism in Perspective},
editor = {R. Pfeifer and Z. Schreter and Z. Fogelman and L. Steels},
pages = {429 - 438},
publisher = {Amsterdam: Elsevier, North-Holland},
year = {1989}}
@incollection{Schmidhuber:89-2,
author = {J. Schmidhuber},
title = {The Neural Bucket Brigade},
booktitle = {Connectionism in Perspective},
editor = {R. Pfeifer and Z. Schreter and Z. Fogelman and L. Steels},
pages = {439-446},
publisher = {Amsterdam: Elsevier, North-Holland},
year = {1989}}
@article{Schmidhuber:89cs,
author = {J. Schmidhuber},
title = {A Local Learning Algorithm for Dynamic Feedforward
and Recurrent Networks},
journal = {Connection Science},
volume = {1},
number = {4},
pages={403-412},
year = {1989}}
@techreport{Schmidhuber:89report,
author = {J. Schmidhuber},
title = {A Local Learning Algorithm for Dynamic Feedforward
and Recurrent Networks},
institution = {Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-124-90},
year = {1989}}
@inproceedings{Schmidhuber:90washington,
author = {J. Schmidhuber},
title = {Recurrent Networks Adjusted by Adaptive Critics},
booktitle =
{Proc. IEEE/INNS International Joint Conference on Neural Networks,
Washington, D. C.},
volume={1},
pages={719-722},
year = {1990}}
@inproceedings{Schmidhuber:90netwadju,
author = {J. Schmidhuber},
title = {Networks Adjusting Networks},
booktitle= {Proceedings of `Distributed Adaptive Neural
Information Processing', St.Augustin, 24.-25.5. 1989 },
editor = {J. Kindermann and A. Linden},
publisher = {Oldenbourg},
pages={197-208},
note={In November 1990 a revised and extended version
appeared as FKI-Report
FKI-125-90 (revised) at the
Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
year = {1990}}
@incollection{Schmidhuber:90duesseldorf,
author = {J. Schmidhuber},
title = {Temporal-Difference-Driven Learning in Recurrent Networks},
booktitle = {Parallel Processing in Neural Systems and Computers},
pages={209-212},
editor = {R. Eckmiller and G. Hartmann and G. Hauske},
publisher = {North-Holland},
year = {1990}}
@article{Schmidhuber:90nnr,
author = {J. Schmidhuber},
title={Additional remarks on {G. Lukes'} review of
{Schmidhuber's paper `Recurrent networks adjusted by adaptive critics'} },
journal={Neural Network Reviews},
volume = {4},
pages={43},
number = {1},
year = {1990}}
@article{Schmidhuber:90nnn,
author = {J. Schmidhuber},
title={{Reinforcement-Lernen und adaptive Steuerung}},
journal={Nachrichten Neuronale Netze},
pages={1-3},
volume={2},
publisher={},
year = {1990}}
@techreport{Schmidhuber:90diff1,
author = {J. Schmidhuber},
title = {Making the world differentiable:
On Using Fully Recurrent Self-Supervised Neural Networks for
Dynamic Reinforcement Learning and Planning in Non-Stationary
Environments},
institution = {Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-126-90},
month={February},
note = { (In November there appeared a revised and extended
version.) },
year = {1990}}
@techreport{Schmidhuber:90diffgenau,
author = {J. Schmidhuber},
title = {Making the world differentiable:
On Using Fully Recurrent Self-Supervised Neural Networks for
Dynamic Reinforcement Learning and Planning in Non-Stationary
Environments},
institution = {Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-126-90 (revised)},
month={November},
note = { (Revised and extended
version of an earlier report from February.) },
year = {1990}}
@techreport{Schmidhuber:90diff,
author = {J. Schmidhuber},
title = {Making the world differentiable:
On Using Fully Recurrent Self-Supervised Neural Networks for
Dynamic Reinforcement Learning and Planning in Non-Stationary
Environments},
institution = {Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-126-90, \url{http://people.idsia.ch/~juergen/FKI-126-90_(revised)bw_ocr.pdf}},
year = {1990}}
@techreport{Schmidhuber:90diffenglish,
author = {J. Schmidhuber},
title = {Making the world differentiable:
On Using Fully Recurrent Self-Supervised Neural Networks for
Dynamic Reinforcement Learning and Planning in Non-Stationary
Environments},
institution = {Tech. Univ. Munich},
number = {FKI-126-90, \url{http://people.idsia.ch/~juergen/FKI-126-90_(revised)bw_ocr.pdf}},
year = {1990}}
@inproceedings{Schmidhuber:90sandiego,
author = {J. Schmidhuber},
title = {An On-Line Algorithm for Dynamic Reinforcement Learning
and Planning in Reactive Environments},
booktitle =
{Proc. IEEE/INNS International Joint Conference on Neural Networks,
San Diego},
pages={253-258},
volume={2},
year = {1990}}
@inproceedings{Schmidhuber:90paris,
author = {J. Schmidhuber},
title = {Reinforcement Learning with Interacting Continually Running
Fully Recurrent Networks},
booktitle =
{Proc. INNC International Neural Network Conference,
Paris},
pages={817-820},
volume={2},
year = {1990}}
@techreport{SchmidhuberHuber:90,
author = {J. Schmidhuber and R. Huber},
title = {Learning to Generate Focus Trajectories for
Attentive Vision},
institution = {Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-128-90},
year = {1990}}
@techreport{Schmidhuber:90compositional,
author = {J. Schmidhuber},
title = {Towards Compositional Learning with Dynamic Neural Networks},
institution = {Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-129-90},
year = {1990}}
@inproceedings{Schmidhuber:90cmss,
author = {J. Schmidhuber},
title = {Learning Algorithms for Networks with Internal and External Feedback},
booktitle =
{ Proc. of the 1990 Connectionist Models Summer School},
pages={52-61},
editor={D. S. Touretzky and J. L. Elman and T. J. Sejnowski and G. E. Hinton},
publisher={Morgan Kaufmann},
year = {1990}}
@misc{Steffi:93,
author = {S. Lindst\"{a}dt},
title = {Comparison of Unsupervised Neural Networks for Redundancy Reduction},
note ={Master's thesis, Dept. of Comp. Sci., University of Colorado at Boulder. Advisor: J. S.},
year = {1993}}
@inproceedings{Steffi:93cmss,
author = {S. Lindst\"{a}dt},
title = { Comparison of two unsupervised neural network models
for redundancy reduction},
booktitle =
{ Proc. of the 1993 Connectionist Models Summer School},
pages={308-315},
editor={ M. C. Mozer and P. Smolensky and D. S. Touretzky and J. L. Elman and A. S. Weigend},
publisher={Hillsdale, NJ: Erlbaum Associates},
year = {1993}}
@incollection{Schmidhuber:90sab,
author = {J. Schmidhuber},
title = {A Possibility for Implementing Curiosity and Boredom in
Model-Building Neural Controllers},
booktitle =
{Proc. of the International Conference on
Simulation of Adaptive Behavior: From Animals to Animats},
pages={222-227},
editor={J. A. Meyer and S. W. Wilson},
publisher={MIT Press/Bradford Books},
year = {1991}}
@misc{schmidhuber1990,
author = {J. Schmidhuber},
title = {{Dynamische neuronale Netze und das fundamentale raumzeitliche
Lernproblem. {\em (Dynamic neural nets and the fundamental spatio-temporal credit assignment problem.)} Dissertation, Inst. f. Inf., Tech. Univ. Munich}},
year = {1990}}
@misc{Schmidhuber:90thesis,
author = {J. Schmidhuber},
title = {{Dynamische neuronale Netze und das fundamentale raumzeitliche
Lernproblem. Dissertation, Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen}},
year = {1990}}
@misc{Schmidhuber:90nipsworkshop,
author = {J. Schmidhuber},
title = {{Talk at the NIPS'90 workshop on dynamic networks led by R. Rohwer}},
year = {1990}}
@inproceedings{Schmidhuber:91nips,
author = {J. Schmidhuber},
title = {Reinforcement Learning in {M}arkovian and Non-{M}arkovian
Environments},
booktitle =
{Advances in Neural Information Processing Systems 3 (NIPS 3)},
editor={D. S. Lippman and J. E. Moody and D. S. Touretzky},
publisher={Morgan Kaufmann},
pages = {500-506},
year = {1991}}
@techreport{Schmidhuber:91fastweights,
author = {J. Schmidhuber},
title = { Learning to Control Fast-Weight Memories: An Alternative to
Recurrent Nets},
institution = {Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-147-91},
month = {March},
year = {1991}}
@inproceedings{Schmidhuber:91icannsubgoals,
author = {J. Schmidhuber},
title = { Learning to Generate Sub-Goals for Action Sequences},
booktitle = {Artificial Neural Networks},
editor={T. Kohonen and K. M\"{a}kisara and O. Simula and J. Kangas},
publisher={Elsevier Science Publishers B.V., North-Holland},
pages={967-972},
year = {1991}}
@inproceedings{Schmidhuber:05assc,
author = {J. Schmidhuber},
title = {A Technical Justification of Consciousness},
booktitle = {9th annual meeting of the Association for the
Scientific Study of Consciousness ASSC, Caltech, Pasadena, CA},
year = {2005}}
@inproceedings{Schmidhuber:05icann,
author = {J. Schmidhuber},
title = {Completely Self-Referential Optimal Reinforcement Learners},
booktitle = {Artificial Neural Networks:
Biological Inspirations - ICANN 2005, LNCS 3697},
editor={W. Duch and J. Kacprzyk and E. Oja and S. Zadrozny},
publisher={Springer-Verlag Berlin Heidelberg},
pages={223-233},
note={Plenary talk},
year = {2005}}
@inproceedings{Gomez:05icann,
author = {F. J. Gomez and J. Schmidhuber},
title = {Evolving modular fast-weight networks for control},
booktitle = {Artificial Neural Networks:
Biological Inspirations - ICANN 2005, LNCS 3697},
editor={W. Duch and J. Kacprzyk and E. Oja and S. Zadrozny},
publisher={Springer-Verlag Berlin Heidelberg},
pages={383-389},
year = {2005}}
@inproceedings{Graves:06icml,
author = {A. Graves and S. Fernandez and F. J. Gomez and J. Schmidhuber},
title = {Connectionist Temporal Classification: Labelling Unsegmented Sequence Data
with Recurrent Neural Nets},
booktitle = {ICML'06: Proceedings of the 23rd International Conference on Machine Learning},
editor={},
pages={369--376},
year = {2006}}
@inproceedings{pascanu2013,
author = {R. Pascanu and T. Mikolov and Y. Bengio},
title = {On the difficulty of training Recurrent Neural Networks},
booktitle = {ICML'13: JMLR: W\&CP volume 28},
year = {2013}}
@article{pascanu2013construct,
title={How to Construct Deep Recurrent Neural Networks},
author={Pascanu, Razvan and Gulcehre, Caglar and Cho, Kyunghyun and Bengio, Yoshua},
journal={arXiv preprint arXiv:1312.6026},
year={2013}
}
@inproceedings{Beringer:05icann,
author = {N. Beringer and A. Graves and F. Schiel and J. Schmidhuber},
title = {Classifying unprompted speech by retraining {LSTM} Nets},
booktitle = {Artificial Neural Networks:
Biological Inspirations - ICANN 2005, LNCS 3696},
editor={W. Duch and J. Kacprzyk and E. Oja and S. Zadrozny},
publisher={Springer-Verlag Berlin Heidelberg},
pages={575-581},
year = {2005}}
@inproceedings{Gagliolo:05icann,
author = {M. Gagliolo and J. Schmidhuber},
title = {A neural network model for adaptive online time allocation},
booktitle = {Artificial Neural Networks:
Biological Inspirations - ICANN 2005, LNCS 3697},
editor={W. Duch and J. Kacprzyk and E. Oja and S. Zadrozny},
publisher={Springer-Verlag Berlin Heidelberg},
pages={7-12},
year = {2005}}
@inproceedings{Giessen:05icann,
author = {M. v. d. Giessen and J. Schmidhuber},
title = {Fast color-based object recognition independent of position and
orientation},
booktitle = {Artificial Neural Networks:
Biological Inspirations - ICANN 2005, LNCS 3696},
editor={W. Duch and J. Kacprzyk and E. Oja and S. Zadrozny},
publisher={Springer-Verlag Berlin Heidelberg},
pages={469-474},
year = {2005}}
@inproceedings{Graves:05icann,
author = {A. Graves and S. Fern\'{a}ndez and J. Schmidhuber},
title = {Bidirectional {LSTM} Networks for Improved Phoneme Classification and Recognition},
booktitle = {Artificial Neural Networks:
Biological Inspirations - ICANN 2005, LNCS 3697},
editor={W. Duch and J. Kacprzyk and E. Oja and S. Zadrozny},
publisher={Springer-Verlag Berlin Heidelberg},
pages={799-804},
year = {2005}}
@inproceedings{SchmidhuberHuber:91icann,
author = {J. Schmidhuber and R. Huber},
title = {Using Sequential Adaptive Neuro-Control for
Efficient Learning of Rotation and Translation Invariance},
booktitle = {Artificial Neural Networks},
editor={T. Kohonen and K. M\"{a}kisara and O. Simula and J. Kangas},
publisher={Elsevier Science Publishers B.V., North-Holland},
pages={315-320},
year = {1991}}
@article{SchmidhuberHuber:91,
author = {J. Schmidhuber and R. Huber},
journal={International Journal of Neural Systems},
title={ Learning to Generate Artificial Fovea Trajectories for
Target Detection},
note={(Based on TR FKI-128-90, TUM, 1990)},
pages={135-141},
number={1 \& 2},
volume={2},
year = {1991}}
@Comment{SchmidhuberHuber:91,
author = {J. Schmidhuber and R. Huber},
title = { Learning to Generate Artificial Fovea Trajectories for Target Detection},
journal = {International Journal of Neural Systems},
year = {1991},
volume = {2},
pages = {135-141},
number = {1 \& 2},
}
@inproceedings{Schmidhuber:91icann,
author = {J. Schmidhuber},
title = {Adaptive Decomposition of Time},
booktitle = {Artificial Neural Networks},
editor={T. Kohonen and K. M\"{a}kisara and O. Simula and J. Kangas},
publisher={Elsevier Science Publishers B.V., North-Holland},
pages={909-914},
year = {1991}}
@techreport{Schmidhuber:91chunker,
author = {J. Schmidhuber},
title = { Neural Sequence Chunkers},
institution = {Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-148-91},
month = {April},
year = {1991}}
@techreport{Schmidhuber:91cur,
author = {J. Schmidhuber},
title = {Adaptive Curiosity and Adaptive Confidence},
institution = {Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-149-91},
month = {April},
note={See also \cite{Schmidhuber:91singaporecur}},
year = {1991}}
@techreport{Schmidhuber:91n3,
author = {J. Schmidhuber},
title = {An {$O(n^3)$} Learning Algorithm for Fully Recurrent Networks},
institution = {Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-151-91},
month = {May, 6},
year = {1991}}
@inproceedings{Schmidhuber:91singaporechunker,
author = {J. Schmidhuber},
title = {Adaptive History Compression for Learning to Divide and Conquer},
booktitle =
{Proc. International Joint Conference on Neural Networks,
Singapore},
publisher = {IEEE},
volume={2},
pages={1130-1135},
year = {1991}}
@inproceedings{Schmidhuber:91singaporefastweights,
author = {J. Schmidhuber},
title = {Learning Temporary Variable Binding with Dynamic Links},
booktitle =
{Proc. International Joint Conference on Neural Networks,
Singapore},
publisher = {IEEE},
volume={3},
pages={2075-2079},
year = {1991}}
@inproceedings{Schmidhuber:91singaporecur,
author = {J. Schmidhuber},
title = {Curious Model-Building Control Systems},
booktitle =
{Proceedings of the International Joint Conference on Neural Networks,
Singapore},
publisher = {IEEE press},
volume={2},
pages={1458-1463},
year = {1991}}
@article{Schmidhuber:92ncfastweights,
author = {J. Schmidhuber},
title = { Learning to Control Fast-Weight Memories: An Alternative to
Recurrent Nets},
journal={Neural Computation},
volume = {4},
number = {1},
pages={131-139},
year = {1992}}
@article{Schmidhuber:92ncchunker,
author = {J. Schmidhuber},
title={Learning Complex, Extended Sequences Using the Principle
of History Compression},
journal={Neural Computation},
volume = {4},
number = {2},
pages={234-242},
year = {1992}}
@article{chunker91and92,
author = {J. Schmidhuber},
title={Learning Complex, Extended Sequences Using the Principle
of History Compression},
journal={Neural Computation},
volume = {4},
number = {2},
pages={234-242},
note={(Based on TR FKI-148-91, TUM, 1991)},
year = {1992}}
@article{Schmidhuber:93ascona,
author = {J. Schmidhuber},
title = {``{Neural}'' redundancy reduction for text compression},
journal={Neural Network World},
volume = {3},
number = {6},
pages={849-853},
year = {1993}}
@article{Schmidhuber:92ncn3,
author = {J. Schmidhuber},
title = {A Fixed Size Storage {$O(n^3)$} Time Complexity
Learning Algorithm for Fully Recurrent Continually Running Networks},
journal={Neural Computation},
volume = {4},
number = {2},
pages={243-248},
year = {1992}}
@inproceedings{Schmidhuber:92nips,
author = {J. Schmidhuber},
title = {Learning Unambiguous Reduced Sequence Descriptions},
booktitle =
{Advances in Neural Information Processing Systems 4 (NIPS 4)},
editor={J. E. Moody and S. J. Hanson and R. P. Lippman},
publisher={Morgan Kaufmann},
pages = {291-298},
year = {1992}}
@misc{SchmidhuberStorck:93,
author = {J. Schmidhuber and J. Storck},
title = {Reinforcement driven information acquisition in
nondeterministic environments},
institution = {Fakult\"{a}t f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
note={Report},
year = {1993}}
@inproceedings{SchmidhuberMozerPrelinger:93,
author = {J. Schmidhuber and M. C. Mozer and D. Prelinger},
title = { Continuous History Compression},
booktitle = {Proc. of Intl. Workshop on Neural Networks, RWTH Aachen},
editor={H. H\"{u}ning and S. Neuhauser and M. Raus and W. Ritschel},
publisher={Augustinus},
pages = {87-95},
year = {1993}}
@techreport{Schmidhuber:91predmin,
author = {J. Schmidhuber},
title = {Learning Factorial Codes By Predictability Minimization},
institution = {Dept. of Comp. Sci., University of Colorado at Boulder},
number = {CU-CS-565-91},
month = {Dec},
year = {1991}}
@techreport{SchmidhuberPrelinger:92,
author = {J. Schmidhuber and D. Prelinger},
title = {Discovering Predictable Classifications},
institution = {Dept. of Comp. Sci., University of Colorado at Boulder},
number = {CU-CS-626-92},
month = {November},
year = {1992}}
@article{Schmidhuber:92ncfactorial,
author = {J. Schmidhuber},
title = {Learning Factorial Codes By Predictability Minimization},
journal={Neural Computation},
volume = {4},
number = {6},
pages={863-879},
year = {1992}}
@article{SchmidhuberPrelinger:93,
author = {J. Schmidhuber and D. Prelinger},
journal={Neural Computation},
title = {Discovering Predictable Classifications},
volume = {5},
number = {4},
pages={625-635},
year = {1993}}
@techreport{siamese92and93,
author = {J. Schmidhuber and D. Prelinger},
title = {Discovering Predictable Classifications},
institution = {Dept. of Comp. Sci., University of Colorado at Boulder},
number = {CU-CS-626-92},
note = {Published in {\em Neural Computation} 5(4):625-635 (1993)},
year = {1992}}
@article{siamese92,
author = {J. Schmidhuber and D. Prelinger},
journal={Neural Computation},
title = {Discovering Predictable Classifications},
volume = {5},
number = {4},
pages={625--635},
note={Based on TR CU-CS-626-92, Univ. Colorado at Boulder (1992)},
year = {1993}}
@techreport{SchmidhuberWahnsiedler:92,
author = {J. Schmidhuber and R. Wahnsiedler},
title = { Trajectory Planning with Neural Subgoal Generators},
institution = {Dept. of Comp. Sci., University of Colorado at Boulder},
number = {},
month = {},
year = {1992}}
@incollection{SchmidhuberWahnsiedler:92sab,
author = {J. Schmidhuber and R. Wahnsiedler},
title = { Planning Simple Trajectories Using Neural Subgoal Generators},
booktitle =
{Proc. of the 2nd International Conference on Simulation
of Adaptive Behavior},
editor={J. A. Meyer and H. L. Roitblat and S. W. Wilson},
pages={196-202},
publisher = {MIT Press},
year = {1992}}
@techreport{Schmidhuber:92selfref,
author = {J. Schmidhuber},
title = { Steps towards ``Self-Referential'' Learning},
institution = {Dept. of Comp. Sci., University of Colorado at Boulder},
number = {CU-CS-627-92},
month = {November},
year = {1992}}
@inproceedings{Schmidhuber:93selfrefieee,
author = {J. Schmidhuber},
title = {A neural network that embeds its own meta-levels},
booktitle =
{Proc. of the International Conference on Neural Networks '93, San Francisco},
publisher = {IEEE},
year = {1993}}
@inproceedings{Schmidhuber:93selfreficann,
author = {J. Schmidhuber},
title = {A self-referential weight matrix},
booktitle = {Proceedings of the International Conference on
Artificial Neural Networks, Amsterdam},
pages={446-451},
publisher = {Springer},
year = {1993}}
@inproceedings{Schmidhuber:93ratioicann,
author = {J. Schmidhuber},
title = {On decreasing the ratio between learning complexity
and number of time-varying variables in fully recurrent nets},
booktitle = {Proceedings of the International Conference on
Artificial Neural Networks, Amsterdam},
pages={460-463},
publisher = {Springer},
year = {1993}}
@inproceedings{Schmidhuber:93selfrefann,
author = {J. Schmidhuber},
title = {An introspective network that can learn to run its own
weight change algorithm},
booktitle =
{Proc. of the Intl. Conf. on Artificial Neural Networks, Brighton },
publisher = {IEE},
pages={191-195},
year = {1993}}
@inproceedings{SchmidhuberPrelinger:93ann,
author = {J. Schmidhuber and D. Prelinger},
title = { A novel unsupervised classification method},
booktitle =
{Proc. of the Intl. Conf. on Artificial Neural Networks, Brighton },
publisher = {IEE},
pages={91-96},
year = {1993}}
@inproceedings{SchmidhuberPrelinger:93icann,
author = {J. Schmidhuber and D. Prelinger},
title = { Unsupervised extraction of predictable abstract features},
booktitle = {Proceedings of the International Conference on
Artificial Neural Networks, Amsterdam},
pages={601-604},
publisher = {Springer},
year = {1993}}
@techreport{Schmidhuber:93ratio,
author = {J. Schmidhuber},
title = {
On Decreasing the Ratio between Learning Complexity
and Number of Time Varying Variables in Fully Recurrent Nets},
institution = {Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {},
month = {},
year = {1993}}
@misc{schmidhuber1993,
author = {J. Schmidhuber},
title = {{Netzwerkarchitekturen, Zielfunktionen und Kettenregel.
{\em (Network architectures, objective functions, and chain rule.)}
Habilitation Thesis, Inst. f. Inf., Tech. Univ. Munich}},
year = {1993}}
@misc{Schmidhuber:93habil,
author = {J. Schmidhuber},
title = {{Netzwerkarchitekturen, Zielfunktionen und Kettenregel.
{\em (Network Architectures, Objective Functions, and Chain Rule.)}
Ha\-bi\-li\-ta\-tions\-schrift {\em (Habilitation Thesis)}, Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen}},
year = {1993}}
@techreport{Schmidhuber:94kol,
author = {J. Schmidhuber},
title = {Discovering Problem Solutions with Low {Kolmogorov} Complexity
and High Generalization Capability},
institution = {Fakult\"{a}t f\"{u}r Informatik, Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-194-94},
note={Short version in
A. Prieditis and S. Russell, eds., Machine Learning: Proceedings
of the Twelfth International Conference, Morgan Kaufmann Publishers, pages 488--496,
San Francisco, CA,
1995},
year = {1994}}
@inproceedings{Schmidhuber:95kol+,
author = {J. Schmidhuber},
title = {Discovering Solutions with Low {Kolmogorov} Complexity
and High Generalization Capability},
booktitle =
{Machine Learning: Proceedings of the Twelfth International Conference},
editor={A. Prieditis and S. Russell},
publisher={Morgan Kaufmann Publishers, San Francisco, CA},
notes={Based on TR FKI-194-94, TUM, 1994},
pages={488-496},
year = {1995}}
@inproceedings{Schmidhuber:95kol,
author = {J. Schmidhuber},
title = {Discovering Solutions with Low {Kolmogorov} Complexity
and High Generalization Capability},
booktitle =
{Machine Learning: Proceedings of the Twelfth International Conference},
editor={A. Prieditis and S. Russell},
publisher={Morgan Kaufmann Publishers, San Francisco, CA},
pages={488-496},
year = {1995}}
@incollection{Schmidhuber:95gp,
author = {J. Schmidhuber},
title = {Beyond ``Genetic Programming'': Incremental Self-Improvement},
booktitle = {Proc. Workshop on Genetic Programming at ML95},
editor = {Justinian Rosca},
publisher = {National Resource Lab for the study of Brain and Behavior},
pages={42-49},
year = {1995}}
@incollection{Schmidhuber:97brauerold,
author = {J. Schmidhuber},
title = {A Computer Scientist's View of Life, the Universe, and Everything},
booktitle = {Foundations of Computer Science: Potential - Theory - Cognition},
editor = {C. Freksa and M. Jantzen and R. Valk},
publisher = {Lecture Notes in Computer Science, Springer, Berlin},
volume={1337},
pages={201-208},
note = {Submitted 1996},
ISSN= {ISSN 0302-9743},
ISBN = {3-540-63746-X},
year = {1997}}
@incollection{Schmidhuber:97brauer,
author = {J. Schmidhuber},
title = {A Computer Scientist's View of Life, the Universe, and Everything},
booktitle = {Foundations of Computer Science: Potential - Theory - Cognition},
editor = {C. Freksa and M. Jantzen and R. Valk},
publisher = {Lecture Notes in Computer Science, Springer, Berlin},
volume={1337},
pages={201-208},
ISSN= {ISSN 0302-9743},
ISBN = {3-540-63746-X},
year = {1997}}
@techreport{Schmidhuber:94selfold,
author = {J. Schmidhuber},
title = {On learning how to learn learning strategies},
institution = {Fakult\"{a}t f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
note = {Revised 1995},
number = {FKI-198-94},
year = {1994}}
@techreport{Schmidhuber:94self,
author = {J. Schmidhuber},
title = {On learning how to learn learning strategies},
institution = {Fakult\"{a}t f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-198-94},
note={See \cite{Schmidhuber:97bias,Schmidhuber:97ssa}},
year = {1994}}
@techreport{Schmidhuber:94art,
author = {J. Schmidhuber},
title = {Low-complexity art},
institution = {Fakult\"{a}t f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-197-94},
year = {1994}}
@article{Schmidhuber:97art,
author = {J. Schmidhuber},
title = {Low-complexity art},
journal={Leonardo, Journal of the
International Society for the Arts, Sciences, and
Technology},
volume = {30},
number = {2},
pages={97-103},
year = {1997}}
@misc{Schmidhuber:94kunst,
author = {J. Schmidhuber},
title = {Algorithmische {Kunst}},
note = {Manuscript},
number = {},
year = {1994}}
@misc{Schmidhuber:97femmes,
author = {J. Schmidhuber},
title = {Femmes fractales},
number = {Report IDSIA-99-97, IDSIA},
year = {1997}}
@techreport{SchmidhuberStorck:94,
author = {J. Schmidhuber and J. Storck and S. Hochreiter},
title = {Reinforcement driven information acquisition in
nondeterministic environments},
number = {FKI- -94},
institution = {Fakult\"{a}t f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
year = {1994}}
@techreport{SchmidhuberHeil:94report,
author = {J. Schmidhuber and S. Heil},
title = {{Sequential Neural Text Compression}},
institution = {Fakult\"{a}t f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI- -94},
year = {1994}}
@techreport{SchmidhuberJankowski:95,
author = {J. Schmidhuber and N. Jankowski},
title = {Applications of {Levin's} Optimal Universal Search Algorithm},
institution = {Fakult\"{a}t f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
note = {In preparation},
year = {1995}}
@techreport{SchmidhuberFoltin:94,
author = {J. Schmidhuber and B. Foltin},
title = {Semilinear predictability minimization produces
orientation sensitive edge detectors},
institution = {Fakult\"{a}t f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-201-94},
month = {December},
year = {1994}}
@incollection{Schmidhuber:99zif,
author = {J. Schmidhuber},
title = {Neural Predictors for Detecting and Removing Redundant Information},
booktitle = {Adaptive Behavior and Learning},
editor = {H. Cruse and J. Dean and H. Ritter},
publisher = {Kluwer},
pages={},
year = {1999}}
@incollection{Schmidhuber:94zif,
author = {J. Schmidhuber},
title = {Neural Predictors for Detecting and Removing Redundant Information},
booktitle = {Adaptive Behavior and Learning},
editor = {H. Cruse and J. Dean and H. Ritter},
publisher = {Center for Interdisciplinary Research,
Universit\"{a}t Bielefeld},
number = {9},
pages={135-145},
year = {1994}}
@article{SchmidhuberHeil:96,
author = {J. Schmidhuber and S. Heil},
title = {Sequential Neural Text Compression},
journal={IEEE Transactions on Neural Networks},
volume = {7},
number = {1},
pages={142-146},
year = {1996}}
@article{Ritter:90,
author = {T. M. Martinetz and H. J. Ritter and K. J. Schulten},
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volume = {2},
pages={1082-1088},
year = {2002}}
@techreport{Schmidhuber:95hkust,
author = {J. Schmidhuber},
title = {Environment-independent reinforcement acceleration},
institution = {IDSIA},
number = {Note IDSIA-59-95},
month = {June},
note = {Invited talk at Hongkong University of Science and Technology},
year = {1995}}
@incollection{Schmidhuber:99ec,
author = {J. Schmidhuber},
title = {A General Method for
Incremental Self-Improvement
and Multi-Agent Learning},
booktitle = {Evolutionary Computation: Theory and Applications},
editor = {X. Yao},
publisher = {World Scientific},
pages={81-123},
year = {1999}}
@incollection{Schmidhuber:96aaai,
author = {J. Schmidhuber},
title = {A General Method for Multi-Agent Learning
in Unrestricted Environments},
booktitle = { Adaptation, Co-evolution and
Learning in Multiagent Systems, Technical Report SS-96-01},
publisher = { American
Association for Artificial Intelligence, Menlo Park, Calif. },
pages={84-87},
year = {1996}}
@incollection{Schmidhuber:96gerdi,
author = {J. Schmidhuber},
title = {Realistic Multi-Agent Reinforcement Learning},
booktitle = {Learning in Distributed
Artificial Intelligence Systems. Working Notes of the
1996 ECAI Workshop},
editor = {G. Weiss},
publisher = {},
pages={},
year = {1996}}
@techreport{Schmidhuber:96meta,
author = {J. Schmidhuber and J. Zhao and M. Wiering},
title = {Simple Principles of Metalearning},
institution = {IDSIA},
number = {IDSIA-69-96},
note={See \cite{Schmidhuber:97bias,Schmidhuber:97ssa}},
year = {1996}}
@article{Schmidhuber:97nn,
author = {J. Schmidhuber},
title={Discovering Neural Nets with Low {Kolmogorov} Complexity
and High Generalization Capability},
journal={Neural Networks},
volume = {10},
number = {5},
pages={857-873},
year = {1997}}
@article{Schmidhuber:97nn+,
author = {J. Schmidhuber},
title={Discovering Neural Nets with Low {Kolmogorov} Complexity
and High Generalization Capability},
journal={Neural Networks},
volume = {10},
number = {5},
pages={857-873},
notes={Based on TR FKI-194-94, TUM (1994)},
year = {1997}}
@incollection{SchmidhuberHeil:00,
author = {J. Schmidhuber and S. Heil},
title = {Compressing Texts with Neural Nets},
booktitle = {Handbook of Natural Language Processing},
editor={Dale and Moisl and Somers},
pages={863-872},
publisher = {Marcel Dekker, Inc.},
year = {2000}}
@incollection{SchmidhuberZhao:97dai,
author = {J. Schmidhuber and J. Zhao},
title = { Multi-Agent Learning with the Success-Story Algorithm},
booktitle = {Distributed Artificial Intelligence
meets Machine Learning},
editor={G. Weiss},
pages={82-93},
publisher = {Springer, Berlin},
year = {1997}}
@techreport{Schmidhuber:97interesting,
author = {J. Schmidhuber},
title = {What's interesting?},
institution = {IDSIA},
number = {IDSIA-35-97},
note={ftp://ftp.idsia.ch/pub/juergen/interest.ps.gz;
extended abstract in Proc. Snowbird'98, Utah, 1998;
see also \cite{Schmidhuber:02predictable}},
year = {1997}}
@techreport{Wiering:96hq,
author = {M. Wiering and J. Schmidhuber},
title = {{HQ-Learning: Discovering Markovian} Subgoals for Non-{Markovian}
Reinforcement Learning},
institution = {IDSIA},
number = {IDSIA-95-96},
year = {1996}}
@misc{Wiering:95,
author = {M. Wiering},
title = {{\it TD Learning of Game Evaluation Functions with Hierarchical
Neural Architectures}},
note ={Master's thesis, Department of Computer Systems, University of Amsterdam},
month = {April},
year = {1995}}
@inproceedings{Wiering:96levin,
author = {M.A. Wiering and J. Schmidhuber},
title = {Solving {POMDPs} with {L}evin search and {EIRA}},
booktitle =
{Machine Learning: Proceedings of the Thirteenth International Conference},
editor={L. Saitta},
publisher={Morgan Kaufmann Publishers, San Francisco, CA},
pages={534-542},
year = {1996}}
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author = {M.A. Wiering and J. Schmidhuber},
title = {Learning exploration policies with models},
booktitle =
{Proc. CONALD},
editor={},
publisher={},
pages={},
year = {1998}}
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author = {J. Zhao and J. Schmidhuber},
title = {Incremental Self-Improvement for
Life-Time Multi-Agent Reinforcement Learning},
editor={
Pattie Maes and Maja Mataric and Jean-Arcady Meyer and Jordan Pollack
and Stewart W. Wilson },
booktitle = {From Animals to Animats 4: Proceedings
of the Fourth International Conference on Simulation of Adaptive
Behavior, Cambridge, MA },
pages = {516-525},
publisher={MIT Press, Bradford Books},
year = {1996}}
@inproceedings{Heil:94nips,
author = {J. Schmidhuber and S. Heil},
title = {Predictive Coding with Neural Nets: Application to Text Compression},
editor={G. Tesauro and D. S. Touretzky and T. K. Leen},
booktitle = {Advances in Neural Information Processing Systems (NIPS) 7},
publisher={MIT Press},
pages = {1047 - 1054},
year = {1995}}
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author = {J. Schmidhuber and J. Zhao and M. Wiering},
title={ Shifting inductive bias with success-story algorithm,
adaptive {Levin} search, and incremental self-improvement},
journal={Machine Learning },
volume = {28},
pages={105-130},
year = {1997}}
@incollection{Schmidhuber:97ssa,
author = {J. Schmidhuber and J. Zhao and N. Schraudolph},
title = { Reinforcement learning with self-modifying policies},
booktitle = {Learning to learn},
editor={S. Thrun and L. Pratt},
pages={293--309},
publisher = {Kluwer},
year = {1997}}
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author = {J. Schmidhuber},
title = {Facial beauty and fractal geometry},
institution = {IDSIA},
note = {Published in the Cogprint Archive: http://cogprints.soton.ac.uk},
number = {TR IDSIA-28-98},
year = {1998}}
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}
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author = {R. Wahnsiedler},
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year = {1992}}
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year = {1990}}
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author = "S.D. Whitehead",
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school = "University of Rochester",
year = 1992,
month = "February",
}
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title = {Active Perception and Reinforcement Learning},
institution = {University
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number={331},
year = {1990}}
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institution = {College of Comp. Sci.,
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number={NU-CCS-88-3},
year = {1988}}
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pages={263-270},
year = {1988}}
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number={ICS Report 8805},
year = {1988}}
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pages={270-280},
year = {1989}}
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institution = { Boston: Northeastern University, College of Computer Science},
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year = {1989}}
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year = {1994}}
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journal={Neural Computation},
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pages={491-501},
year = {1990}}
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author = {R. J. Williams and Leemon C. Baird},
title = {Draft: A Mathematical Analysis of Actor-Critic
Architectures For Learning Optimal Controls Through Incremental
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institution = {College of Comp. Sci.,
Northeastern University, Boston, MA},
number={},
year = {1990}}
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},
institution = {School of Cognitive and Computing Sciences,
University of Sussex, Falmer, Brighton},
number={},
year = {1994}}
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year = {1994}}
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pages = {299-305},
year = {1991}}
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{Proceedings of the International
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title =
{1st Workshop on Parallel Architectures and Neural Nets},
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editor = {E. R. Caianello},
year = {1987}}
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author = {S. E. Fahlman},
title = {
The recurrent cascade-correlation learning algorithm
},
booktitle =
{Advances in Neural Information Processing Systems (NIPS) 3},
editor={R. P. Lippmann and J. E. Moody and D. S. Touretzky},
publisher={Morgan Kaufmann},
pages = {190-196},
year = {1991}}
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author= {K. Lang and A. Waibel and G. E. Hinton},
title={ A Time-Delay Neural Network Architecture for Isolated Word
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journal={Neural Networks},
volume = {3},
pages={23-43},
year = {1990}}
@InProceedings{chen05ijcnn,
author = {Chen, J. and Chaudhari, N.S.},
title = {Protein Secondary Structure Prediction with bidirectional {LSTM} networks},
booktitle = {Post-Conference Workshop on Computational Intelligence Approaches for the Analysis of Bio-data (CI-BIO)},
year = {2005},
address = {Montreal, Canada},
month = {August}
}
@PHDTHESIS{schuster99thesis,
AUTHOR = {M. Schuster},
TITLE = { On supervised learning from sequential data with applications for speech recognition},
SCHOOL = {Nara Institute of Science and Technolog},
YEAR = {1999},
ADDRESS = { Kyoto, Japan}
}
@ARTICLE{fukada99boundary,
AUTHOR = {T. Fukada and M. Schuster and Y. Sagisaka},
TITLE = {Phoneme boundary estimation using bidirectional recurrent neural networks and its applications},
JOURNAL = {Systems and Computers in Japan},
YEAR = {1999},
VOLUME = {30},
number = {4},
PAGES = {20--30},
ee = {http://dx.doi.org/10.1002/(SICI)1520-684X(199904)30:4$<$20::AID-SCJ3$>$3.0.CO;2-E},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
@TECHREPORT{graves05retraining,
AUTHOR = {A. Graves and N. Beringer and J. Schmidhuber},
TITLE = {Rapid Retraining on Speech Data with {LSTM} Recurrent Networks},
INSTITUTION = {IDSIA},
YEAR = {2005},
NUMBER = {IDSIA-09-05}
}
@InProceedings{graves+eck+beringer+schmidhuber:2003,
author = {A. Graves and D. Eck and N. Beringer and J. Schmidhuber},
title = {Isolated Digit Recognition with {LSTM} Recurrent Networks},
booktitle = {First International Workshop on Biologically Inspired Approaches to Advanced Information Technology},
address = {Lausanne},
year = {2003},
source = {OwnPublication},
abstract = {Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. Not only are they more biologically plausible than previous artificial RNNs, they also outperformed them on many artificially generated sequential processing tasks. This encouraged us to apply LSTM to more realistic problems, such as the recognition of spoken digits. Without any modification of the underlying algorithm, we achieved results comparable to state-of-the-art Hidden Markov Model (HMM) based recognisers on both the TIDIGITS and TI46 speech corpora. We conclude that LSTM should be further investigated as a biologically plausible basis for a bottom-up, neural net-based approach to speech recognition.}
}
@InProceedings{ graves+beringer+schmidhuber:2003,
author = {A. Graves and N. Beringer and J. Schmidhuber},
title = {A Comparison Between Spiking and Differentiable Recurrent Neural Networks on Spoken Digit Recognition},
booktitle = {The 23rd IASTED International Conference on modelling, identification, and control},
address = {Grindelwald},
year = {2003},
source = {OwnPublication},
abstract = {In this paper we demonstrate that Long Short-Term Memory (LSTM) is a differentiable recurrent neural net (RNN)
capable of robustly categorizing timewarped speech data. We measure its performance on a spoken digit identification task, where the data was spike-encoded in such a way that classifying the utterances became a difficult challenge in non-linear timewarping. We find that LSTM gives greatly superior results to an SNN found in the
literature, and conclude that the architecture has a place in domains that require the learning of large timewarped datasets, such as automatic speech recognition.}
}
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title={New results on recurrent network training: unifying the algorithms and accelerating convergence},
author={Atiya, Amir F and Parlos, Alexander G},
journal={IEEE Transactions on Neural Networks},
volume={11},
number={3},
pages={697--709},
year={2000},
publisher={IEEE}
}
@inproceedings{Plate:93,
author = {T. A. Plate},
title = {Holographic Recurrent Networks},
booktitle =
{Advances in Neural Information Processing Systems (NIPS) 5},
editor = {S. J. Hanson, J. D. Cowan and C. L. Giles},
publisher={Morgan Kaufmann},
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title = {Nonlinear Dynamics, Mathematical Biology, and Social Science},
publisher = {Addison Wesley},
address = {Reading, MA},
year = 1997
}
@book{ma90,
author = {Maes, P.},
title = {Designing Autonomous Agents},
publisher = {MIT Press},
address = {Cambridge, MA},
year = 1990
}
@article{kere98,
author = {Keller, L. and Reeve, H. K.},
title = {Familiarity breeds cooperation},
journal = {Nature},
volume = {394},
pages = {121-122},
year = {1998}
}
@article{nosi98,
author = {Nowak, M. A. and Sigmund, K.},
title = {Evolution of Inderect Reciprocity by Image Scoring},
journal = {Nature},
volume = {393},
pages = {573-577},
year = {1998}
}
@article{chco95,
author = {Christini, D. J. and Collins, J. J.},
title = {Using Noise and Chaos Control to Control Nonchaotic Systems },
journal = {Physical Review E},
volume = {52},
number = {6},
pages = {5806-5809},
year = {1995}
}
@article{lent98,
author = {Lenton, T. M.},
title = {Gaia and Natural Selection},
journal = {Nature},
volume = {394},
pages = {439-447},
year = {1998}
}
@unpublished{galu98,
author = {Gafiychuk, V. V},
title = {Distributed Self--Regulation Induced by Negative Feedbacks in
Ecological and Economic Systems},
note = {pre-print, adap-org/98110011},
month = {November},
year = {1998}
}
@techreport{brei94,
author = {Breiman, L.},
title = {Bagging Predictors},
department = {Statistics Department},
institution = {University of California Berkeley},
number = {421},
year = {1994}
}
@inproceedings{mola98,
author = {Moriarty, D. E. and Langley, P.},
title = {Learning Cooperative Lane Selection Strategies for Highways},
booktitle={Proceedings of the Fifteenth National Conference on Artificial
Intelligence},
address = {Madisson, WI},
pages = {},
year = {1998}
}
@inbook {harding2013cartesian,
title = {Cartesian genetic programming for image processing},
booktitle = {Genetic Programming Theory and Practice X},
year = {2013},
pages = {31{\textendash}44},
publisher = {Springer},
organization = {Springer},
author = {Simon Harding and J{\"u}rgen Leitner and Juergen Schmidhuber}
}
@article {DBLP:journals/corr/abs-1302-1700,
title = {Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks},
journal = {CoRR},
volume = {abs/1302.1700},
year = {2013},
author = {Alessandro Giusti and Dan C. Ciresan and Jonathan Masci and L. M. Gambardella and Juergen Schmidhuber}
}
@article {DBLP:journals/corr/abs-1302-1690,
title = {A Fast Learning Algorithm for Image Segmentation with Max-Pooling Convolutional Networks},
journal = {CoRR},
volume = {abs/1302.1690},
year = {2013},
author = {Jonathan Masci and Alessandro Giusti and Dan C. Ciresan and Gabriel Fricout and Juergen Schmidhuber}
}
@article {DBLP:journals/iacr/RuhrmairSSXMSDSBD13,
title = {PUF Modeling Attacks on Simulated and Silicon Data},
journal = {IACR Cryptology ePrint Archive},
volume = {2013},
year = {2013},
pages = {112},
author = {Ulrich R{\"u}hrmair and Jan S{\"o}lter and Frank Sehnke and Xiaolin Xu and Ahmed Mahmoud and Vera Stoyanova and Gideon Dror and Juergen Schmidhuber and Wayne Burleson and Srinivas Devadas}
}
@article {DBLP:journals/corr/abs-1305-0423,
title = {Testing Hypotheses by Regularized Maximum Mean Discrepancy},
journal = {CoRR},
volume = {abs/1305.0423},
year = {2013},
author = {Somayeh Danafar and Paola M. V. Rancoita and T. Glasmachers and Kevin Whittingstall and Juergen Schmidhuber}
}
@conference {DBLP:conf/icdl-epirob/KompellaLSPS12,
title = {Autonomous learning of abstractions using Curiosity-Driven Modular Incremental Slow Feature Analysis},
booktitle = {ICDL-EPIROB},
year = {2012},
pages = {1-8},
author = {Varun Raj Kompella and Matthew D. Luciw and Marijn Stollenga and Leo Pape and Juergen Schmidhuber}
}
@conference {DBLP:conf/icdl-epirob/LeitnerCHFSFTS12,
title = {Autonomous learning of robust visual object detection and identification on a humanoid},
booktitle = {ICDL-EPIROB},
year = {2012},
pages = {1-6},
author = {J{\"u}rgen Leitner and Pramod Chandrashekhariah and Simon Harding and Mikhail Frank and Gabriele Spina and Alexander F{\"o}rster and Jochen Triesch and Juergen Schmidhuber}
}
@conference {DBLP:conf/icdl-epirob/KazerounianLSRSS12,
title = {Autonomous reinforcement of behavioral sequences in neural dynamics},
booktitle = {ICDL-EPIROB},
year = {2012},
pages = {1-2},
author = {Sohrob Kazerounian and Matthew D. Luciw and Yulia Sandamirskaya and Mathis Richter and Juergen Schmidhuber and Gregor Sch{\"o}ner}
}
@conference {DBLP:conf/gecco/GomezKS12,
title = {Complexity search for compressed neural networks},
booktitle = {GECCO (Companion)},
year = {2012},
pages = {1455-1456},
author = {Faustino Gomez and J. Koutn{\'i}k and Juergen Schmidhuber}
}
@conference {DBLP:conf/ppsn/SrivastavaSG12,
title = {Generalized Compressed Network Search},
booktitle = {PPSN (1)},
year = {2012},
pages = {337-346},
author = {Rupesh Kumar Srivastava and Juergen Schmidhuber and Faustino Gomez}
}
@conference {Srivastava:2012:GCN:2330784.2330902,
title = {Generalized compressed network search},
booktitle = {Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion},
series = {GECCO Companion {\textquoteright}12},
year = {2012},
pages = {647{\textendash}648},
publisher = {ACM},
organization = {ACM},
address = {New York, NY, USA},
keywords = {complexity, indirect encodings, neuroevolution, recurrent neural networks},
isbn = {978-1-4503-1178-6},
doi = {10.1145/2330784.2330902},
url = {http://doi.acm.org/10.1145/2330784.2330902},
author = {Rupesh Kumar Srivastava and Juergen Schmidhuber and Faustino Gomez}
}
@inproceedings{ngo2013IJCAI,
author = {Hung Ngo and Matthew Luciw and Ngo Anh Vien and J\"urgen Scmidhuber},
title = {Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence},
series = {IJCAI'13},
year = {2013},
isbn = {978-1-57735-633-2},
location = {Beijing, China},
pages = {2488--2494},
numpages = {7},
url={http://ijcai.org/papers13/Papers/IJCAI13-366.pdf},
publisher = {AAAI Press}
}
@article{ngo2013Frontiers,
title={Confidence-Based Progress-Driven Self-Generated Goals for Skill Acquisition in Developmental Robots},
author={Hung Ngo and Matthew Luciw and Alexander F{\"o}rster and J{\"u}rgen Schmidhuber},
journal={Frontiers in Psychology},
volume={4},
year={2013},
doi={10.3389/fpsyg.2013.00833},
issn={1664-1078},
publisher={Frontiers Media S.A.}
}
@conference {leitner2012icvision,
title = {icvision: A modular vision system for cognitive robotics research},
booktitle = {International Conference on Cognitive Systems (CogSys)},
year = {2012},
author = {J{\"u}rgen Leitner and Simon Harding and Mikhail Frank and Alexander F{\"o}rster and Juergen Schmidhuber}
}
@conference {DBLP:conf/ro-man/NagiNGGSC12,
title = {Incremental learning using partial feedback for gesture-based human-swarm interaction},
booktitle = {RO-MAN},
year = {2012},
pages = {898-905},
author = {Jawad Nagi and Hung Ngo and Alessandro Giusti and L. M. Gambardella and Juergen Schmidhuber and Gianni A. Di Caro}
}
@article {DBLP:journals/neco/KompellaLS12,
title = {Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams},
journal = {Neural Computation},
volume = {24},
number = {11},
year = {2012},
pages = {2994-3024},
author = {Varun Raj Kompella and Matthew D. Luciw and Juergen Schmidhuber}
}
@conference {DBLP:conf/ijcnn/NgoLFS12,
title = {Learning skills from play: Artificial curiosity on a Katana robot arm},
booktitle = {IJCNN},
year = {2012},
pages = {1-8},
author = {Hung Ngo and Matthew D. Luciw and Alexander F{\"o}rster and Juergen Schmidhuber}
}
@article {leitner2012learn,
title = {Learning Spatial Object Localisation from Vision on a Humanoid Robot},
journal = {International Journal of Advanced Robotics Systems},
year = {2012},
note = {submitted},
author = {J{\"u}rgen Leitner and Simon Harding and Mikhail Frank and Alexander F{\"o}rster and Juergen Schmidhuber}
}
@article {10.3389/fnbot.2012.00006,
title = {Learning tactile skills through curious exploration},
journal = {Frontiers in Neurorobotics},
volume = {6},
number = {6},
year = {2012},
abstract = {We present curiosity-driven, autonomous acquisition of tactile exploratory skills on a biomimetic robot finger equipped with an array of microelectromechanical touch sensors. Instead of building tailored algorithms for solving a specific tactile task, we employ a more general curiosity-driven reinforcement learning approach that autonomously learns a set of motor skills in absence of an explicit teacher signal. In this approach, the acquisition of skills is driven by the information content of the sensory input signals relative to a learner that aims at representing sensory inputs using fewer and fewer computational resources. We show that, from initially random exploration of its environment, the robotic system autonomously develops a small set of basic motor skills that lead to different kinds of tactile input. Next, the system learns how to exploit the learned motor skills to solve supervised texture classification tasks. Our approach demonstrates the feasibility of autonomous acquisition of tactile skills on physical robotic platforms through curiosity-driven reinforcement learning, overcomes typical difficulties of engineered solutions for active tactile exploration and underactuated control, and provides a basis for studying developmental learning through intrinsic motivation in robots.},
issn = {1662-5218},
doi = {10.3389/fnbot.2012.00006},
url = {http://www.frontiersin.org/neurorobotics/10.3389/fnbot.2012.00006/abstract},
author = {Leo Pape and Oddo, Calogero Maria and Controzzi, Marco and Cipriani, Christian and Alexander F{\"o}rster and Carrozza, Maria Chiara and Juergen Schmidhuber}
}
@inbook {luciw2012low,
title = {Low complexity proto-value function learning from sensory observations with incremental slow feature analysis},
booktitle = {Artificial Neural Networks and Machine Learning{\textendash}ICANN 2012},
year = {2012},
pages = {279{\textendash}287},
publisher = {Springer},
organization = {Springer},
author = {Luciw, Matthew and Juergen Schmidhuber}
}
@conference {leitner2012mars,
title = {Mars terrain image classification using cartesian genetic programming},
booktitle = {11th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS), Turin, Italy},
year = {2012},
author = {J{\"u}rgen Leitner and Simon Harding and Alexander F{\"o}rster and Juergen Schmidhuber}
}
@conference {frank2012modular,
title = {The modular behavioral environment for humanoids and other robots (mobee)},
booktitle = {9th International Conference on Informatics in Control, Automation and Robotics (ICINCO)},
year = {2012},
author = {Mikhail Frank and J{\"u}rgen Leitner and Marijn Stollenga and Kaufmann, Gregor and Simon Harding and Alexander F{\"o}rster and Juergen Schmidhuber}
}
@conference {DBLP:conf/agi/GisslenRLS12,
title = {Modular Value Iteration through Regional Decomposition},
booktitle = {AGI},
year = {2012},
pages = {69-78},
author = {Linus Gissl{\'e}n and Mark B. Ring and Matthew D. Luciw and Juergen Schmidhuber}
}
@conference {DBLP:conf/gecco/HardingGLS12,
title = {MT-CGP: mixed type cartesian genetic programming},
booktitle = {GECCO},
year = {2012},
pages = {751-758},
author = {Simon Harding and Vincent Graziano and J{\"u}rgen Leitner and Juergen Schmidhuber}
}
@inbook {schmidhuber2012new,
title = {New Millennium AI and the Convergence of History: Update of 2012},
booktitle = {Singularity Hypotheses},
year = {2012},
pages = {61{\textendash}82},
publisher = {Springer},
organization = {Springer},
author = {Juergen Schmidhuber}
}
@conference {DBLP:conf/icml/SunGS12,
title = {On the Size of the Online Kernel Sparsification Dictionary},
booktitle = {ICML},
year = {2012},
author = {Yi Sun and Faustino Gomez and Juergen Schmidhuber}
}
@inbook {steunebrink2012towards,
title = {Towards an Actual G{\"o}del Machine Implementation: a Lesson in Self-Reflective Systems},
booktitle = {Theoretical Foundations of Artificial General Intelligence},
year = {2012},
pages = {173{\textendash}195},
publisher = {Springer},
organization = {Springer},
author = {Steunebrink, Bas R and Juergen Schmidhuber}
}
@conference {DBLP:conf/ijcnn/CiresanMS12,
title = {Transfer learning for {Latin and Chinese} characters with Deep Neural Networks},
booktitle = {Proc. IJCNN},
year = {2012},
pages = {1-6},
author = {Dan C. Ciresan and U. Meier and Juergen Schmidhuber}
}
@conference {DBLP:conf/iros/LeitnerHFFS12,
title = {Transferring spatial perception between robots operating in a shared workspace},
booktitle = {IROS},
year = {2012},
pages = {1507-1512},
author = {J{\"u}rgen Leitner and Simon Harding and Mikhail Frank and Alexander F{\"o}rster and Juergen Schmidhuber}
}
@article {Schmidhuber:2012:TC,
title = {{Turing} in Context},
volume = {336},
number = {6089},
year = {2012},
pages = {1638{\textendash}1639},
issn = {0036-8075 (print), 1095-9203 (electronic)},
doi = {http://dx.doi.org/10.1126/science.336.6089.1638-c},
url = {http://www.sciencemag.org/content/336/6089/1638.3.full.pdf},
author = {Juergen Schmidhuber}
}
@article {Schmidhuber:2012:TKH,
title = {{Turing}: Keep his work in perspective},
volume = {483},
number = {7391},
year = {2012},
pages = {541{\textendash}541},
issn = {0028-0836 (print), 1476-4687 (electronic)},
doi = {http://dx.doi.org/10.1038/483541b},
url = {http://www.nature.com/nature/journal/v483/n7391/full/483541b.html},
author = {Juergen Schmidhuber}
}
@techreport{graziano2011tl,
author ={V. Graziano and M. Ring and F. Gomez and J. Schmidhuber},
title ={T-Learning},
number={IDSIA-04-11},
year={2011},
institution ={IDSIA},
}
@article {Graziano2011acta,
title = {{Artificial Curiosity for Autonomous Space Exploration}},
journal = {Acta Futura},
volume = {1},
number = {4},
year = {2011},
pages = {41{\textendash}51},
author = {Vincent Graziano and T. Glasmachers and Tom Schaul and Leo Pape and Cuccu, Giuseppe and J{\"u}rgen Leitner and Juergen Schmidhuber}
}
@article{togelius2009ontophylo,
author = {Togelius, Julian and Schaul, Tom and Wierstra, Daan and Igel, Christian and Gomez, Faustino and Schmidhuber, J\"{u}rgen},
file = {:C$\backslash$:/Users/Tom/Documents/IDSIA/ki2009-03\_page30-33\_korrektur.pdf:pdf},
journal = {Zeitschrift K\"{u}nstliche Intelligenz - Special Issue on Reinforcement Learning},
keywords = {RL},
mendeley-tags = {RL},
issue = {3},
pages = {30--33},
title = {{Ontogenetic and Phylogenetic Reinforcement Learning}},
year = {2009}
}
@conference {DBLP:conf/humanoids/KompellaPMFS11,
title = {AutoIncSFA and vision-based developmental learning for humanoid robots},
booktitle = {Humanoids},
year = {2011},
pages = {622-629},
author = {Varun Raj Kompella and Leo Pape and Jonathan Masci and Mikhail Frank and Juergen Schmidhuber}
}
@booklet {Schmidhuber_2011,
title = {Citation bubble about to burst?},
journal = {Nature},
number = {7328},
year = {2011},
pages = {34{\~n}34},
doi = {10.1038/469034b},
url = {http://www.nature.com/nature/journal/v469/n7328/full/469034b.html},
author = {Juergen Schmidhuber}
}
@conference {DBLP:conf/cec/SchaulSWGS11,
title = {Curiosity-driven optimization},
booktitle = {IEEE Congress on Evolutionary Computation},
year = {2011},
pages = {1343-1349},
author = {Tom Schaul and Yi Sun and Daan Wierstra and Faustino Gomez and Juergen Schmidhuber}
}
@conference {DBLP:conf/agi/SteunebrinkS11,
title = {A Family of {G}{\"o}del Machine Implementations},
booktitle = {AGI},
year = {2011},
pages = {275-280},
author = {Bas R. Steunebrink and Juergen Schmidhuber}
}
@booklet {koutnik:techreport2011,
title = {Fourier Networks},
number = {IDSIA-02-11},
year = {2011},
note = {Submitted},
publisher = {IDSIA},
author = {J. Koutn\'{i}k and Faustino Gomez and Juergen Schmidhuber}
}
@article {koutnik:evco2011,
title = {Frequency Domain Encoding for Neuroevolution},
journal = {Evolutionary Computation},
year = {2011},
note = {Submitted},
publisher = {MIT Press},
author = {J. Koutn{\'i}k and Faustino Gomez and Juergen Schmidhuber}
}
@conference {DBLP:conf/icml/SunGRS11,
title = {Incremental Basis Construction from Temporal Difference Error},
booktitle = {ICML},
year = {2011},
pages = {481-488},
author = {Yi Sun and Faustino Gomez and Mark B. Ring and Juergen Schmidhuber}
}
@conference {DBLP:conf/icsipa/NagiDCCMGNSG11,
title = {Max-pooling convolutional neural networks for vision-based hand gesture recognition},
booktitle = {ICSIPA},
year = {2011},
pages = {342-347},
author = {Jawad Nagi and Frederick Ducatelle and Gianni A. Di Caro and Dan C. Ciresan and U. Meier and Alessandro Giusti and Farrukh Nagi and Juergen Schmidhuber and L. M. Gambardella}
}
@conference {DBLP:conf/ijcnn/PapeGRS11,
title = {Modular deep belief networks that do not forget},
booktitle = {IJCNN},
year = {2011},
pages = {1191-1198},
author = {Leo Pape and Faustino Gomez and Juergen Ring and Juergen Schmidhuber}
}
@article {DBLP:journals/corr/abs-1112-5309,
title = {POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem},
journal = {CoRR},
volume = {abs/1112.5309},
year = {2011},
author = {Juergen Schmidhuber}
}
@conference {DBLP:conf/pkdd/DanafarGS10,
title = {Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition},
booktitle = {ECML/PKDD (1)},
year = {2010},
pages = {264-279},
author = {Somayeh Danafar and Arthur Gretton and Juergen Schmidhuber}
}
@article {DBLP:journals/tamd/Schmidhuber10,
title = {Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990-2010)},
journal = {IEEE T. Autonomous Mental Development},
volume = {2},
number = {3},
year = {2010},
pages = {230-247},
keywords = {active learning, aesthetics, cognition, creativity, data compression, event sequences, fun, intrinsic motivation, intrinsic reward},
issn = {1943-0604},
doi = {10.1109/TAMD.2010.2056368},
author = {Juergen Schmidhuber}
}
@conference {DBLP:conf/nips/SunGS10,
title = {Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices},
booktitle = {NIPS},
year = {2010},
pages = {2235-2243},
author = {Yi Sun and Faustino Gomez and Juergen Schmidhuber}
}
@article {DBLP:journals/iacr/RuhrmairSSDDS10,
title = {Modeling Attacks on Physical Unclonable Functions},
journal = {IACR Cryptology ePrint Archive},
volume = {2010},
year = {2010},
pages = {251},
author = {Ulrich R{\"u}hrmair and Frank Sehnke and Jan S{\"o}lter and Gideon Dror and Srinivas Devadas and Juergen Schmidhuber}
}
@article {DBLP:journals/ejasp/DanafarGS10,
title = {Novel Kernel-Based Recognizers of Human Actions},
journal = {EURASIP J. Adv. Sig. Proc.},
volume = {2010},
year = {2010},
author = {Somayeh Danafar and Alessandro Giusti and Juergen Schmidhuber}
}
@conference {DBLP:conf/icann/UnkelbachSS09,
title = {An EM Based Training Algorithm for Recurrent Neural Networks},
booktitle = {ICANN (1)},
year = {2009},
pages = {964-974},
author = {Jan Unkelbach and Yi Sun and Juergen Schmidhuber}
}
@conference {DBLP:conf/icann/BayerWTS09,
title = {Evolving Memory Cell Structures for Sequence Learning},
booktitle = {Proc. ICANN (2)},
year = {2009},
pages = {755-764},
author = {Justin Bayer and Daan Wierstra and Julian Togelius and Juergen Schmidhuber}
}
@article {togelius2009ontogenetic,
title = {Ontogenetic and phylogenetic reinforcement learning},
journal = {K{\"u}nstliche Intelligenz},
volume = {23},
number = {3},
year = {2009},
pages = {30{\textendash}33},
author = {Togelius, Julian and Tom Schaul and Wierstra, Daan and Igel, Christian and Faustino Gomez and Juergen Schmidhuber}
}
@conference {DBLP:conf/cec/HoornTWS09,
title = {Robust player imitation using multiobjective evolution},
booktitle = {IEEE Congress on Evolutionary Computation},
year = {2009},
pages = {652-659},
author = {Niels van Hoorn and Julian Togelius and Daan Wierstra and Juergen Schmidhuber}
}
@inproceedings{ciblt2007,
author = {Athanasiadis, Ioannis N},
booktitle = {Computational Intelligence Based on Lattice Theory},
editor = {Kaburlasos, V G and Ritter, Gerhard X},
pages = {175--193},
series = {Studies in Computational Intelligence},
title = {{The Fuzzy Lattice Reasoning Classifier for mining environmental data}},
year = {2007}
}
@article{ijar2007,
author = {Kaburlasos, Vassilis G and Athanasiadis, Ioannis N and Mitkas, Pericles A},
journal = {International Journal of Approximate Reasoning},
pages = {152--188},
title = {{Fuzzy Lattice Reasoning (FLR) classifier and its application for ambient ozone estimation}},
volume = {45},
year = {2007}
}
@inproceedings{Ricann,
address = {Porto, Portugal},
author = {Ryabko, D},
booktitle = {Proceedings of International Conference on Artificial Neural Networks},
pages = {808--815},
title = {{Testing Component Independence Using Data Compressors}},
volume = {4669},
year = {2007}
}
@article {DBLP:journals/appml/RyabkoS09,
title = {Using data compressors to construct order tests for homogeneity and component independence},
journal = {Appl. Math. Lett.},
volume = {22},
number = {7},
year = {2009},
pages = {1029-1032},
author = {Daniil Ryabko and Juergen Schmidhuber}
}
@article {RSsub,
title = {Using data compressors to construct order tests for homogeneity and component independence},
journal = {Appl. Math. Lett.},
volume = {22},
number = {7},
year = {2009},
pages = {1029-1032},
author = {Daniil Ryabko and Juergen Schmidhuber}
}
@inproceedings{Risprics,
address = {St. Petersburg, Russia},
author = {Ryabko, D},
booktitle = {XI Int. Symposium on Problems of Redundancy in Information and Control Systems},
pages = {27--31},
title = {{Using Data Compressors for Homogeneity Testing}},
year = {2007}
}
@inproceedings{RRisit,
author = {Ryabko, B and Ryabko, D},
booktitle = {Proceedings of IEEE International Symposium on Information Theory},
pages = {2461--2466},
title = {{Provably Secure Universal Steganographic Systems}},
year = {2007}
}
@article{RHaml,
author = {Ryabko, D and Hutter, Marcus},
journal = {Applied Mathematics Letters},
title = {{Predicting Non-Stationary Processes}},
year = {2008}
}
@article{RHtcs,
author = {Ryabko, D and Hutter, Marcus},
journal = {Theoretical Computer Science},
title = {{On the Possibility of Learning in Reactive Environments with Arbitrary Dependence}},
year = {2008}
}
@misc{Schaul2005,
address = {Lausanne},
author = {Schaul, Tom},
file = {:C$\backslash$:/Users/Tom/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Schaul - 2005 - Evolving a compact, concept-based Sokoban solver.pdf:pdf},
keywords = {Genetic Programming,Sokoban},
mendeley-tags = {Genetic Programming,Sokoban},
publisher = {EPFL},
title = {{Evolving a compact, concept-based Sokoban solver}},
year = {2005}
}
@inproceedings{RHisit,
author = {Ryabko, D and Hutter, Marcus},
booktitle = {Proceedings of IEEE International Symposium on Information Theory},
pages = {2461--2464},
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address = {Lausanne},
author = {Schaul, Tom},
file = {:C$\backslash$:/Users/Tom/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Schaul - 2005 - Evolving a compact, concept-based Sokoban solver.pdf:pdf},
keywords = {Genetic Programming,Sokoban},
mendeley-tags = {Genetic Programming,Sokoban},
publisher = {EPFL},
title = {{Evolving a compact, concept-based Sokoban solver}},
year = {2005}
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year = "2003"}
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journal = {Neural Computation},
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volume = {6},
pages = {147--160}
}
@Incollection{fortnow-short,
author = "L. Fortnow and S. Homer",
title = "A Short History of Computational Complexity",
booktitle = "The History of Mathematical Logic",
editor = "D. van Dalen and J. Dawson and A. Kanamori",
publisher = "North-Holland, Amsterdam",
year = "to appear",
note = "citeseer.ist.psu.edu/fortnow02short.html",
url = "citeseer.ist.psu.edu/fortnow02short.html" }
@inproceedings{ goldreich96property,
author = "Oded Goldreich and Shafi Goldwasser and Dana Ron",
title = "Property Testing and Its Connection to Learning and Approximation",
booktitle = "{IEEE} Symposium on Foundations of Computer Science",
pages = "339-348",
year = "1996",
url = "citeseer.ist.psu.edu/goldreich98property.html" }
@article{goldreich:98property,
author = {O. Goldreich and S. Goldwasser and D. Ron},
title = {Property Testing and Its Connection to Learning and Approximation},
journal= {J. of the ACM},
volume = {45},
number = {4},
pages={653-750},
year = {1998}}
@article
{Danafar:2010:NKR:1840697.1928561,
author = {Danafar, Somayeh and Giusti, Alessandro and Schmidhuber, J\"{u}rgen},
title = {Novel kernel-based recognizers of human actions},
journal = {EURASIP J. Adv. Signal Process},
issue_date = {February 2010},
volume = {2010},
month = {February},
year = {2010},
issn = {1110-8657},
pages = {4:1--4:10},
articleno = {4},
numpages = {10},
url = {http://dx.doi.org/10.1155/2010/202768},
doi = {http://dx.doi.org/10.1155/2010/202768},
acmid = {1928561},
publisher = {Hindawi Publishing Corp.},
address = {New York, NY, United States},
}
@inproceedings{Danafar:2010:CKS:1888258.1888283,
author = {Danafar, Somayeh and Gretton, Arthur and Schmidhuber, J\"{u}rgen},
title = {Characteristic kernels on structured domains excel in robotics and human action
recognition},
booktitle = {Proceedings of the 2010 European conference on Machine learning and knowledge
discovery in databases: Part I},
series = {ECML PKDD'10},
year = {2010},
isbn = {3-642-15879-X, 978-3-642-15879-7},
location = {Barcelona, Spain},
pages = {264--279},
numpages = {16},
url = {http://portal.acm.org/citation.cfm?id=1888258.1888283},
acmid = {1888283},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg}
}
@BOOK{kearns:90,
author = "M. J. Kearns",
title = "The Computational Complexity of Machine Learning",
publisher ="MIT Press, Cambridge, Massachusetts",
year = "1990",
url="http://www.cis.upenn.edu/~mkearns/papers/thesis.pdf"}
@inproceedings{babai91checking,
author = "L{\'a}szl{\'o} Babai and Lance Fortnow and Leonid A. Levin and Mario Szegedy",
title = "Checking computations in polylogarithmic time",
booktitle = "Proc. 23rd ACM STOC",
pages = "21--32",
year = "1991",
url = "citeseer.ist.psu.edu/babai91checking.html" }
@book{box94,
key = {variograms spectral analysis nonstationarity autocorrelation
transfer functions},
author = {George E P Box and Gwilym M Jenkins and Gregory C Reinsel},
title = {Time series analysis: forecasting and control},
year = {1994},
publisher = {Prentice-Hall},
address = {Englewood Cliffs},
edition = {3},
available = {-}
}
@techreport{illigal98013,
author = "M. Pelikan and D.E. Goldberg and E. Cant\'u-Paz",
title = "Linkage problem, distribution estimation, and Bayesian networks.
A good description of various distribution estimation algorithms",
institution = "University of illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory",
number = "98013",
type = "IlliGAL Report",
year = "1998",
}
@book{goldberg:gabook89,
address = {Reading, MA},
author = {Goldberg, David E. },
citeulike-article-id = {2376852},
keywords = {nn},
priority = {2},
publisher = {Addison-Wesley},
title = {Genetic Algorithms in Search, Optimization and Machine Learning},
year = {1989}
}
@INPROCEEDINGS{mbiro,
AUTHOR = {M. Birattari and T. St\"utzle and L. Paquete and K. Varrentrapp},
TITLE = {A Racing Algorithm for Configuring Metaheuristics},
BOOKTITLE = {GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference},
PAGES = {11-18},
YEAR = {2002},
EDITOR = {W. Langdon et al.},
PUBLISHER = {Morgan Kaufmann Publishers},
URL = {papers/gecco2002.pdf}
}
@BOOK {BoxDraper87,
AUTHOR="G. E. P. Box and N. R. Draper",
TITLE={Empirical Model-Building and Response Surfaces},
PUBLISHER={John Wiley},
ADDRESS={New York},
YEAR={1987} }
@article{Soares:04ml,
author = {Carlos Soares and Pavel B. Brazdil and Petr Kuba},
title = {A Meta-Learning Method to Select the Kernel Width in Support Vector Regression},
journal = {Mach. Learn.},
volume = {54},
number = {3},
year = {2004},
issn = {0885-6125},
pages = {195--209},
publisher = {Kluwer Academic Publishers},
}
@article{Kalousis:04ml,
author = {A. Kalousis and J. Gama and M. Hilario},
title = {On Data and Algorithms: Understanding Inductive Performance},
journal = {Mach. Learn.},
volume = {54},
number = {3},
year = {2004},
issn = {0885-6125},
pages = {275--312},
publisher = {Kluwer Academic Publishers},
}
@techreport{Soares:02fast,
author ={J. F\"{u}rnkranz and J. Petrak and P. Brazdil and C. Soares},
title ={On the Use of Fast Subsampling Estimates for Algorithm Recommendation},
number={TR-2002-36},
institution ={\"{O}sterreichisches Forschungsinstitut f\"{u}r Artificial Intelligence, Wien},
year = {2002}}
@Article{mach:Brazdil+Soares+Costa:2003,
author = {Pavel B. Brazdil and Carlos Soares and Joaquim Pinto da Costa},
title = {Ranking Learning Algorithms: Using {IBL} and Meta Learning on Accuracy and Time Results},
journal = {Machine Learning},
volume = 50,
number = 3,
year = 2003,
pages = {251-277}
}
@InProceedings{MOO94,
author = "A. W. Moore and M. S. Lee",
title = "Efficient algorithms for minimizing cross validation
error",
booktitle = "Proceedings of the 11th International Conference on Machine
Learning",
publisher = "Morgan Kaufmann",
year = "1994",
pages = "190--198",
}
@InCollection{DorDic99:optbook,
author = "M. Dorigo and G. {Di Caro}",
editor = "D. Corne and M. Dorigo and F. Glover",
booktitle = "New Ideas in Optimization",
title = "The Ant Colony Optimization Meta-Heuristic",
publisher = "McGraw-Hill",
pages = "11--32",
year = "1999",
}
@InProceedings{Auer:1995:GRC,
author = "Peter Auer and Nicol{\`o} Cesa-Bianchi and Yoav Freund and Robert E. Schapire",
title = "Gambling in a rigged casino: the adversarial multi-armed bandit problem",
booktitle = "Proceedings of the 36th Annual Symposium on Foundations of Computer Science",
publisher = "IEEE Computer Society Press, Los Alamitos, CA",
pages = "322--331",
year = "1995",
url = "citeseer.ist.psu.edu/article/auer95gambling.html" }
@book{advkernel,
title = "Advances in Kernel Methods - Support Vector Learning",
year = "1998",
publisher = "{MIT} Press",
address = "Cambridge, MA",
editor = "B. Sch{\"o}lkopf and C. J. C.~Burges and A. J.~Smola",
}
@Article{Igel:2003:NC,
author = "Christian Igel and Marc Toussaint",
title = "Neutrality and Self-Adaptation",
journal = "Natural Computing",
year = "2003",
volume = "2",
number = "2",
URL = "http://ipsapp009.kluweronline.com/content/getfile/5030/5/1/abstract.htm",
doi = "doi:10.1023/A:1024906105255",
pages = "117--132",
keywords = "evolutionary computation, genotype-phenotype mapping,
neutrality, No-Free-Lunch theorem, redundancy,
self-adaptation, genetic programming",
abstract = "Neutral genotype-phenotype mappings can be observed in
natural evolution and are often used in evolutionary
computation. In this article, important aspects of such
encodings are analysed. First, it is shown that in the
absence of external control neutrality allows a
variation of the search distribution independent of
phenotypic changes. In particular, neutrality is
necessary for self-adaptation, which is used in a
variety of algorithms from all main paradigms of
evolutionary computation to increase efficiency.
Second, the average number of fitness evaluations
needed to find a desirable (e.g., optimally adapted)
genotype depending on the number of desirable genotypes
and the cardinality of the genotype space is derived.
It turns out that this number increases only marginally
when neutrality is added to an encoding presuming that
the fraction of desirable genotypes stays constant and
that the number of these genotypes is not too small.",
notes = "Article ID: 5126729",
}
@Article{mach:Giraud-Carrier+Vilalta+Brazdil:2004,
author = {Christophe Giraud-Carrier and Ricardo Vilalta and Pavel Brazdil},
title = {Introduction to the Special Issue on Meta-Learning},
journal = {Machine Learning},
volume = 54,
number = 3,
year = 2004,
pages = {187-193},
note = {Special Issue: Meta-Learning}
}
@Article{horvitz-zilberstein:2001a,
author = "Eric J. Horvitz and Shlomo Zilberstein",
title = "Computational Tradeoffs under Bounded Resources
(Editorial)",
journal = "Artificial Intelligence",
year = "2001",
volume = "126",
number = "1--2",
pages = "1--4",
topic = "resource-bounded-reasoning;",
note= "Special Issue"
}
@Article{gomes-selman:2001a,
author = "Carla P. Gomes and Bart Selman",
title = "Algorithm Portfolios",
journal = "Artificial Intelligence",
year = "2001",
volume = "126",
number = "1--2",
pages = "43--62",
topic = "search;AI-algorithms;anytime-algorithms;"
}
@InCollection{rice76,
author = "J. R. Rice",
title = "The algorithm selection problem",
editor = "Morris Rubinoff and Marshall C. Yovits",
booktitle = "Advances in computers",
volume = "15",
pages = "65--118",
year = "1976",
publisher = "Academic Press",
address = "New York"
}
@InProceedings{Nudelman:03,
title = "A Portfolio Approach to Algorithm Selection",
author = "Eugene Nudelman and Galen Andrew and Jim Mcfadden and
Kevin Leyton-brown and Yoav Shoham",
year = "2003",
booktitle = "Proceedings of IJCAI-03, 18th International Joint
Conference on Artificial Intelligence",
editor = "Georg Gottlob and Toby Walsh",
publisher = "Morgan Kaufmann",
address = "San Francisco, {US}"}
@misc{metal,
author = "Johannes F{\"u}rnkranz",
title ="On-line Bibliography on Meta-Learning",
note = "{EU ESPRIT METAL} Project (26.357): A Meta-Learning Assistant for Providing User Support in Machine Learning Mining",
year = {2001}}
@misc{ecml00metaws,
author = {J. Keller and C. Giraud-Carrier},
year = 2000,
title = {{ECML} 2000 Workshop on Meta-Learning: Building Automatic
Advice Strategies for Model Selection and Method Combination} }
@InProceedings{LeyNudSho02,
author = "Kevin Leyton-Brown and Eugene Nudelman and Yoav Shoham",
title = "Learning the Empirical Hardness of Optimization
Problems: The Case of Combinatorial Auctions",
booktitle = "ICCP: International Conference on Constraint
Programming (CP), LNCS",
year = "2002",
}
@article{hansenCMA,
author = {Hansen, N. and Ostermeier, A. },
citeulike-article-id = {2374795},
journal = {Evolutionary Computation},
keywords = {daanbib},
number = {2},
pages = {159--195},
priority = {2},
publisher = {MIT Press},
title = {Completely derandomized self-adaptation in evolution strategies},
volume = {9},
year = {2001}
}
@InProceedings{russell:93b,
author = "S. J. Russell and S. Zilberstein",
title = "Anytime sensing, planning, and action: {A} practical
model for robot control",
booktitle = "Proceedings of the International Conference on
Artificial Intelligence (IJCAI-93)",
pages = "1402--1407",
year = "1993",
publisher = "Morgan Kaufmann publishers Inc.: San Mateo, CA, USA",
editor = "Ruzena Bajcsy",
month = aug # "~29--" # sep # "~3",
address = "Chamb{\'e}ry, France",
}
@Article{Russell+Wefald:1991a,
author = "Stuart J. Russell and Eric H. Wefald",
year = "1991",
title = "Principles of metareasoning",
journal = "Artificial Intelligence",
volume = "49",
number = "1--3",
month = may,
pages = "361--395",
}
@Article{Etzioni91,
key = "Etzioni",
author = "O. Etzioni",
title = "Embedding Decision-Analytic Control in a Learning
Architecture",
journal = "Artificial Intelligence",
pages = "129--159",
volume = "49",
number = "1-3",
month = jan,
year = "1991",
location = "CMU E\&{}S Library",
}
@Article{hansen_ea-zilberstein:2001a,
author = "Eric A. Hansen and Shlomo Zilberstein",
title = "Monitoring and Control of Anytime Algorithms: {A}
Dynamic Programming Approach",
journal = "Artificial Intelligence",
year = "2001",
volume = "126",
number = "1--2",
pages = "139--157",
topic = "anytime-algorithms;metareasoning;",
}
@Article{boddy-dean:1994a,
author = "Mark Boddy and Thomas L. Dean",
title = "Deliberation Scheduling for Problem Solving in
Time-Constrained Environments",
journal = "Artificial Intelligence",
year = "1994",
volume = "67",
number = "2",
pages = "245--285",
abstract = "We are interested in the problem faced by an
agent with limited computational capabilities, embedded
in a complex environment with other agents and
processes not under its control. Careful management of
computational resources is important for complex
problem-solving tasks in which the time spent in
decision making affects the quality of the responses
generated by a system. This paper describes an approach
to designing systems that are capable of taking their
own computational resources into consideration during
planning and problem solving. In particular, we address
the design of systems that manage their computational
resources by using expectations about the performance
of decision-making procedures and preferences over the
outcomes resulting from applying those procedures. Our
approach is called deliberation scheduling.
Deliberation scheduling involves the explicit
allocation of computational resources to
decision-making procedures based on the expected effect
of those allocations on the system's performance.",
topic = "limited-rationality;",
}
@InProceedings{ll-asrl-00,
author = "M. G. Lagoudakis and M. L. Littman",
title = "Algorithm Selection using Reinforcement Learning",
booktitle = "Proc. 17th International Conf. on Machine Learning",
publisher = "Morgan Kaufmann, San Francisco, CA",
year = "2000",
pages = "511--518",
}
@InProceedings{Horvitz:01Bayes,
author = {Horvitz, Eric and Ruan, Yongshao and Gomes, Carla P. and
Kautz, Henry and Selman, Bart and Chickering, David Maxwell},
title = {A Bayesian Approach to Tackling Hard Computational Problems},
pages = {235--244},
booktitle= {Proceedings of the 17th Conference on Uncertainty and
Artificial Intelligence, Seattle, WA, August 2001},
publisher = {Morgan Kaufmann, San Francisco, CA},
year = {2000},
}
@Article{zhang_wx:2001a,
author = "Weixiong Zhang",
title = "Iterative State-Space Reduction for Flexible
Computation",
journal = "Artificial Intelligence",
year = "2001",
volume = "126",
number = "1--2",
pages = "109--138",
topic = "search;AI-algorithms;",
}
@InProceedings{pless,
author= "G. R. Harick and F. G. Lobo",
title= "A parameter-less genetic algorithm",
booktitle= "Proceedings of the Genetic and Evolutionary
Computation Conference",
year = "1999",
editor = "Wolfgang Banzhaf and Jason Daida and
Agoston E. Eiben and Max H. Garzon and Vasant Honavar and
Mark Jakiela and Robert E. Smith",
volume = "2",
pages = "1867",
address = "Orlando, Florida, USA",
publisher_address = "San Francisco, CA 94104, USA",
month = "13-17 " # jul,
publisher = "Morgan Kaufmann",
keywords = "genetic algorithms, genetic programming, methodology,
pedagogy and philosophy, poster paper, lindenmayer
L-systems",
ISBN = "1-55860-611-4",
notes = "GECCO-99 A joint meeting of the eighth international
conference on genetic algorithms (ICGA-99) and the
fourth annual genetic programming conference (GP-99)",
}
@techreport{Solomonoff:03idsia,
author ={Ray J. Solomonoff},
title ={Progress in Incremental Machine Learning},
number={IDSIA-16-03},
institution ={IDSIA},
year = {2003}}
@BOOK{Riesel:94,
author = "H. Riesel",
title = "Prime Numbers and Computer Methods for Factorization",
publisher ="Birkhauser, Boston",
year = 1994}
@article{ trevisan00interactive,
author = "L. Trevisan",
title = "Interactive and Probabilistic Proof-checking",
journal = "Annals of Pure and Applied Logic",
volume = "104",
pages = "325--342",
year = "2000",
url = "citeseer.ist.psu.edu/trevisan00interactive.html" }
@InProceedings{miller:icga89,
author = "G. Miller and P. Todd and S. Hedge",
title = "Designing neural networks using genetic algorithms",
booktitle = "Proceedings of the 3rd International Conference on Genetic Algorithms",
pages = "379--384",
year = 1989,
publisher = "Morgan Kauffman"}
@Article{yao:review,
author = "X. Yao",
title = "A Review of Evolutionary Artificial Neural Networks",
journal = "International Journal of Intelligent Systems",
year = 1993,
volume = 4,
pages = "203--222"}
@Article{moriarty:ml96,
author = "D. E. Moriarty and R. Miikkulainen",
title = "Efficient Reinforcement Learning Through Symbiotic Evolution",
journal = "Machine Learning",
volume = 22,
pages = "11--32",
year = 1996 }
@article{yamauchi94sequential,
author = "B. M. Yamauchi and R. D. Beer",
title = "Sequential Behavior and Learning in Evolved Dynamical Neural Networks",
journal = "Adaptive Behavior",
volume = "2",
number = "3",
pages = "219--246",
year = "1994"}
@InCollection{nolfi:alife4,
author = "S. Nolfi and D. Floreano and O. Miglino and F. Mondada",
title = "How to Evolve Autonomous Robots: {D}ifferent
Approaches in Evolutionary Robotics",
crossref = "alife94",
pages = "190--197"}
@article{nolfi1994,
title={Learning and evolution in neural networks},
author={Nolfi, Stefano and Parisi, Domenico and Elman, Jeffrey L},
journal={Adaptive Behavior},
volume={3},
number={1},
pages={5--28},
year={1994}
}
@Proceedings{alife94,
title = "Fourth International Workshop on the Synthesis and
Simulation of Living Systems (Artificial Life {IV})",
booktitle = "Fourth International Workshop on the Synthesis and
Simulation of Living Systems (Artificial Life {IV})",
editor = "R. A. Brooks and P. Maes",
publisher = "MIT",
ISBN = "0-262-52190-3",
year = 1994,
site = "Cambridge, MA"}
@article{miglino95evolving,
author = "O. Miglino and H. Lund and S. Nolfi",
title = "Evolving Mobile Robots in Simulated and Real Environments",
journal = "Artificial Life",
volume = "2",
number = "4",
pages = "417-434",
year = "1995"}
@article{Medvedev:62,
author = {Yu. T. Medvedev},
title ={Finite problems},
journal={Sov. Math., Doklady},
volume = {3},
pages ={227--230},
year = {1962}}
@inproceedings{chernov:02csl,
author = {A. V. Chernov and D. P. Skvortsov and E. Z. Skvortsova and N. K. Vereshchagin},
title = {Variants of Realizability for Propositional Formulas and the Logic of the Weak Law of Excluded Middle},
booktitle = {Proceedings of the 16th International Workshop and 11th Annual Conference of the EACSL on Computer Science Logic},
isbn = {3-540-44240-5},
pages = {74--88},
publisher = {Springer-Verlag},
year = {2002}}
@book{Sipser:96,
author = {M. Sipser},
title = {Introduction to the Theory of Computation},
year = {1996},
isbn = {053494728X},
publisher = {International Thomson Publishing},
}
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@PHDTHESIS{schuster:1999,
AUTHOR = {M. Schuster},
TITLE = {On supervised learning from sequential data with applications for speech recognition},
SCHOOL = {Nara Institute of Science and Technology},
YEAR = {1999}
}
@MANUAL{young2002htk,
AUTHOR = {Young, S.J. and Woodland, P.C},
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YEAR = {2002},
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@INPROCEEDINGS{graves+eck+beringer+schmidhuber:2004,
AUTHOR = {A. Graves and D. Eck and N. Beringer and J. Schmidhuber},
TITLE = {Isolated Digit Recognition with {LSTM} Recurrent Networks},
BOOKTITLE = {First International Workshop on Biologically Inspired Approaches to Advanced Information Technology},
ADDRESS = {Lausanne},
YEAR = {2004},
SOURCE = {OwnPublication},
ABSTRACT = {Long Short-Term Memory (LSTM) recurrent neural networks
(RNNs) are local in space and time and closely related to a biological model of memory in the
prefrontal cortex. Not only are they more biologically plausible than previous artificial RNNs,
they also outperformed them on many artificially generated sequential processing tasks.
This encouraged us to apply LSTM to more realistic problems, such as the recognition of spoken digits.
Without any modification of the underlying algorithm, we achieved results comparable to state-of-the-art Hidden Markov Model
(HMM) based recognisers on both the TIDIGITS and TI46 speech corpora.
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@INPROCEEDINGS{graves+beringer+schmidhuber:2004,
AUTHOR = {A. Graves and N. Beringer and J. Schmidhuber},
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literature, and conclude that the architecture has a place in domains that require the learning of large timewarped datasets,
such as automatic speech recognition.}
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booktitle = {{Proc. Int. Joint Conf. on Neural Networks IJCNN 2005}},
YEAR = {2005}
}
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author = {A. Graves and J. Schmidhuber},
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volume = {18},
number = {5-6},
pages = {602--610},
year = {2005}
}
%duplicate
@article{graves:05nn,
AUTHOR = {A. Graves and J. Schmidhuber},
TITLE = {Framewise phoneme classification with bidirectional {LSTM} and
other neural network architectures},
JOURNAL = {Neural Networks},
volume={18},
pages={602-610},
YEAR = {2005}
}
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keywords = "MDL, Minimum Description Length, Convergence Rate,
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}
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author = "M. Hutter",
title = "Sequential Predictions based on Algorithmic Complexity",
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pages = "95--117",
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url = "http://arxiv.org/abs/cs.IT/0508043",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-16-04.pdf",
keywords = "Sequence prediction; Algorithmic Information Theory;
Solomonoff's prior; Monotone Kolmogorov Complexity;
Minimal Description Length; Convergence;
Self-Optimizingness",
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author = "Marco Zaffalon and Marcus Hutter",
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volume = "45",
pages = "215--239",
year = "2005",
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http = "http://www.hutter1.de/ai/tree.htm",
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categories = "I.2. [Artificial Intelligence]",
keywords = "Robust inference, spanning trees, intervals,
dependence, graphical models, mutual information, imprecise
probabilities, imprecise Dirichlet model.",
}
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author = "J. Poland and M. Hutter",
title = "Asymptotics of Discrete MDL for Online Prediction",
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volume = "51",
number = "11",
year = "2005",
pages = "3780--3795",
journal = "IEEE Transactions on Information Theory",
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http = "http://www.hutter1.de/ai/mpl2px.htm",
url = "http://arxiv.org/abs/cs.IT/0506022",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-13-05.pdf",
keywords = "Algorithmic Information Theory, Classification, Consistency,
Discrete Model Class, Loss Bounds, Minimum Description Length,
Regression, Sequence Prediction, Stabilization, Universal Induction.",
}
@InProceedings{Chernov:05postbnd,
author = "A. Chernov and M. Hutter",
title = "Monotone Conditional Complexity Bounds on Future Prediction Errors",
booktitle = "Proc. 16th International Conf. on Algorithmic Learning Theory ({ALT'05})",
address = "Singapore",
series = "LNAI",
volume = "3734",
_editor = "Sanjay Jain and Hans Ulrich Simon and Etsuji Tomita",
publisher = "Springer, Berlin",
pages = "414--428",
year = "2005",
issn = "0302-9743",
isbn = "3-540-29242-X",
http = "http://www.hutter1.de/ai/postbnd.htm",
url = "http://arxiv.org/abs/cs.LG/0507041",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-16-05.pdf",
keywords = "Kolmogorov complexity, posterior bounds,
online sequential prediction, Solomonoff prior,
monotone conditional complexity, total error,
future loss, randomness deficiency.",
}
@InProceedings{Legg:05iors,
author = "S. Legg and M. Hutter",
number = "IDSIA-04-05",
title = "A Universal Measure of Intelligence for Artificial Agents",
booktitle = "Proc. 21st International Joint Conf. on Artificial Intelligence ({IJCAI-2005})",
pages = "1509--1510",
_editor = "L. P. Kaelbling and A. Saffiotti",
_publisher = "Professional Book Center",
address = "Edinburgh",
year = "2005",
isbn_print = "0-938075-93-4",
isbn_cd = "0-938075-94-2",
http = "http://www.hutter1.de/ai/iors.htm",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-04-05.pdf",
press = "http://www.newscientist.com/article/mg18725125.800.html",
}
@InProceedings{Poland:05actexp2,
author = "J. Poland and M. Hutter",
title = "Defensive Universal Learning with Experts",
booktitle = "Proc. 16th International Conf. on Algorithmic Learning Theory ({ALT'05})",
address = "Singapore",
series = "LNAI",
volume = "3734",
_editor = "Sanjay Jain and Hans Ulrich Simon and Etsuji Tomita",
publisher = "Springer, Berlin",
pages = "356--370",
year = "2005",
issn = "0302-9743",
isbn = "3-540-29242-X",
http = "http://www.hutter1.de/ai/actexp2.htm",
url = "http://arxiv.org/abs/cs.LG/0507044",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-15-05.pdf",
keywords = "Prediction with expert advice, responsive
environments, partial observation game, bandits, universal
learning, asymptotic optimality.",
}
@InProceedings{Poland:05actexp,
author = "J. Poland and M. Hutter",
title = "Master Algorithms for Active Experts Problems based on Increasing Loss Values",
booktitle = "Annual Machine Learning Conference of Belgium and the Netherlands ({Benelearn-2005})",
address = "Enschede",
_editor = "Martijn van Otterlo and Mannes Poel and Anton Nijholt",
year = "2005",
http = "http://www.hutter1.de/ai/actexp.htm",
url = "http://arxiv.org/abs/cs.LG/0502067",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-01-05.pdf",
keywords = "Prediction with expert advice, responsive
environments, partial observation game, bandits, universal
learning, asymptotic optimality.",
}
@InProceedings{Poland:05mdlreg,
author = "J. Poland and M. Hutter",
title = "Strong Asymptotic Assertions for Discrete {MDL} in Regression and Classification",
booktitle = "Annual Machine Learning Conference of Belgium and the Netherlands ({Benelearn-2005})",
address = "Enschede",
_editor = "Martijn van Otterlo and Mannes Poel and Anton Nijholt",
year = "2005",
http = "http://www.hutter1.de/ai/mdlreg.htm",
url = "http://arxiv.org/abs/math.ST/0502315",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-02-05.pdf",
keywords = "Regression, Classification, Sequence Prediction,
Machine Learning, Minimum Description Length, Bayes Mixture,
Marginalization, Convergence, Discrete Model Classes.",
}
@Article{Hutter:05expertx,
author = "M. Hutter and J. Poland",
title = "Adaptive Online Prediction by Following the Perturbed Leader",
_month = apr,
volume = "6",
year = "2005",
pages = "639--660",
journal = "Journal of Machine Learning Research",
publisher = "Microtome",
http = "http://www.hutter1.de/ai/expertx.htm",
url = "http://arxiv.org/abs/cs.AI/0504078",
url2 = "http://www.jmlr.org/papers/v6/hutter05a.html",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-10-05.pdf",
keywords = "Prediction with Expert Advice, Follow the Perturbed Leader,
general weights, adaptive learning rate,
adaptive adversary, hierarchy of experts,
expected and high probability bounds, general alphabet and loss,
online sequential prediction.",
}
@InProceedings{Legg:05fuds,
author = "S. Legg and M. Hutter",
title = "Fitness Uniform Deletion for Robust Optimization",
booktitle = "Proc. Genetic and Evolutionary Computation Conference ({GECCO'05})",
address = "Washington, OR",
editor = "H.-G. Beyer et al.",
publisher = "ACM SigEvo",
ISBN = "1-59593-010-8",
_month = jun,
year = "2005",
pages = "1271--1278",
keywords = "Evolutionary algorithm, deletion schemes, fitness evaluation,
optimization, fitness landscapes, (self)adaptation.",
http = "http://www.hutter1.de/ai/fuds.htm",
url = "http://arxiv.org/abs/cs.NE/0504035",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-11-04.pdf",
}
@Article{Hutter:05unipriorx,
author = "M. Hutter",
title = "On Generalized Computable Universal Priors and their Convergence",
journal = "Theoretical Computer Science",
year = "2005",
http = "http://www.hutter1.de/ai/unipriorx.htm",
url = "http://arxiv.org/abs/cs.LG/0503026",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-05-05.pdf",
keywords = "Sequence prediction; Algorithmic Information Theory;
Solomonoff's prior; universal probability;
mixture distributions; posterior convergence;
computability concepts; Martin-Loef randomness.",
}
@InProceedings{Hutter:04bayestree,
author = "M. Hutter",
title = "Fast Non-Parametric {B}ayesian Inference on Infinite Trees",
booktitle = "Proc. 10th International Conf. on Artificial Intelligence and Statistics ({AISTATS-2005})",
_address = "Barbados",
_editor = "R. G. Cowell and Z. Ghahramani",
publisher = "Society for Artificial Intelligence and Statistics",
pages = "144--151",
year = "2005",
http = "http://www.hutter1.de/ai/bayestree.htm",
url = "http://arxiv.org/abs/math.PR/0411515",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-24-04.pdf",
keywords = "Bayesian density estimation, exact linear time algorithm,
non-parametric inference, adaptive infinite tree, Polya tree,
scale invariance.",
}
@InProceedings{Hutter:04mlconvx,
author = "M. Hutter and An. A. Muchnik",
title = "Universal Convergence of Semimeasures on Individual Random Sequences",
booktitle = "Proc. 15th International Conf. on Algorithmic Learning Theory ({ALT'04})",
address = "Padova",
series = "LNAI",
volume = "3244",
_editor = "S. Ben-David and J. Case and A. Maruoka",
publisher = "Springer, Berlin",
pages = "234--248",
year = "2004",
issn = "0302-9743",
isbn = "3-540-23356-3",
http = "http://www.hutter1.de/ai/mlconvx.htm",
url = "http://arxiv.org/abs/cs.LG/0407057",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-14-04.pdf",
keywords = "Sequence prediction; Algorithmic Information Theory;
universal enumerable semimeasure; mixture distributions;
posterior convergence; Martin-L{\"o}f randomness;
quasimeasures.",
}
@InProceedings{Hutter:04expert,
author = "M. Hutter and J. Poland",
title = "Prediction with Expert Advice by Following the Perturbed Leader for General Weights",
booktitle = "Proc. 15th International Conf. on Algorithmic Learning Theory ({ALT'04})",
address = "Padova",
series = "LNAI",
volume = "3244",
_editor = "S. Ben-David and J. Case and A. Maruoka",
publisher = "Springer, Berlin",
pages = "279--293",
year = "2004",
issn = "0302-9743",
isbn = "3-540-23356-3",
http = "http://www.hutter1.de/ai/expert.htm",
url = "http://arxiv.org/abs/cs.LG/0405043",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-08-04.pdf",
keywords = "Prediction with Expert Advice, Follow the Perturbed Leader,
general weights, adaptive learning rate,
hierarchy of experts, expected and high probability bounds,
general alphabet and loss, online sequential prediction.",
}
@InProceedings{Poland:04mdlspeed,
author = "J. Poland and M. Hutter",
title = "On the convergence speed of {MDL} predictions for {B}ernoulli sequences",
booktitle = "Proc. 15th International Conf. on Algorithmic Learning Theory ({ALT'04})",
address = "Padova",
series = "LNAI",
volume = "3244",
_editor = "S. Ben-David and J. Case and A. Maruoka",
publisher = "Springer, Berlin",
pages = "294--308",
year = "2004",
issn = "0302-9743",
isbn = "3-540-23356-3",
http = "http://www.hutter1.de/ai/mdlspeed.htm",
url = "http://arxiv.org/abs/cs.LG/0407039",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-13-04.pdf",
keywords = "MDL, Minimum Description Length, Convergence Rate,
Prediction, Bernoulli, Discrete Model Class.",
}
TechReport{Hutter:04bayespea,
author = "M. Hutter",
title = "Online Prediction -- {B}ayes versus Experts",
institution = "http://www.idsia.ch/$_{^\sim}$marcus/ai/bayespea.htm",
month = jul,
pages = "4 pages",
year = "2004",
note = "Presented at the {\em EU PASCAL Workshop on
Learning Theoretic and Bayesian Inductive Principles (LTBIP-2004)}",
url = "http://www.hutter1.de/ai/bayespea.htm",
ps = "http://www.hutter1.de/ai/bayespea.ps",
pdf = "http://www.hutter1.de/ai/bayespea.pdf",
slides = "http://www.hutter1.de/ai/sbayespea.pdf",
keywords = "Bayesian sequence prediction;
Prediction with Expert Advice;
general weights, alphabet and loss.",
}
@InProceedings{Poland:04mdl2p,
author = "J. Poland and M. Hutter",
title = "Convergence of Discrete {MDL} for Sequential Prediction",
booktitle = "Proc. 17th Annual Conf. on Learning Theory ({COLT'04})",
address = "Banff",
series = "LNAI",
volume = "3120",
_editor = "J. Shawe-Taylor and Y. Singer",
publisher = "Springer, Berlin",
pages = "300--314",
year = "2004",
isbn = "3-540-22282-0",
http = "http://www.hutter1.de/ai/mdl2p.htm",
url = "http://arxiv.org/abs/cs.LG/0404057",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-03-04.pdf",
keywords = "Minimum Description Length, Sequence Prediction,
Convergence, Discrete Model Classes, Universal Induction,
Stabilization, Algorithmic Information Theory.",
}
@InProceedings{Legg:04fussexp,
author = "S. Legg and M. Hutter and A. Kumar",
title = "Tournament versus Fitness Uniform Selection",
booktitle = "Proc. 2004 Congress on Evolutionary Computation ({CEC'04})",
address = "Portland, OR",
xeditor = "??",
publisher = "IEEE",
ISBN = "0-7803-8515-2",
_month = jun,
year = "2004",
pages = "2144--2151",
keywords = "Selection schemes, fitness evaluation, optimization,
fitness landscapes, basic working principles of evolutionary computations,
(self)adaptation, evolutionary algorithm,
deceptive \& multimodal optimization problems.",
http = "http://www.hutter1.de/ai/fussexp.htm",
url = "http://arxiv.org/abs/cs.LG/0403038",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-04-04.pdf",
press = "http://www.trnmag.com/Stories/032801/Diversity_trumps_fitness_032801.html",
}
@InProceedings{Hutter:03unimdl,
author = "M. Hutter",
title = "Sequence Prediction based on Monotone Complexity",
booktitle = "Proc. 16th Annual Conf. on Learning Theory ({COLT'03})",
address = "Washington, DC",
series = "LNAI",
volume = "2777",
_editor = "B. Sch{\"o}lkopf and M. K. Warmuth",
publisher = "Springer, Berlin",
pages = "506--521",
year = "2003",
isbn = "3-540-40720-0",
http = "http://www.hutter1.de/ai/unimdl.htm",
url = "http://arxiv.org/abs/cs.AI/0306036",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-09-03.ps.gz",
keywords = "Sequence prediction; Algorithmic Information Theory;
Solomonoff's prior; Monotone Kolmogorov Complexity;
Minimal Description Length; Convergence;
Self-Optimizingness",
}
@Article{Schmidhuber:02ulaos,
author = "J. Schmidhuber and M. Hutter",
title = "Universal Learning Algorithms and Optimal Search",
journal = "NIPS 2001 Workshop",
volume = "",
pages = "",
year = "2002",
note = "http://www.idsia.ch/$_{^\sim}$marcus\linebreak[1]/idsia/nipsws.htm",
}
@Article{Hutter:04mifs,
author = "Marcus Hutter and Marco Zaffalon",
title = "Distribution of Mutual Information from Complete and Incomplete Data",
journal = "Computational Statistics \& Data Analysis",
volume = "48",
number = "3",
pages = "633--657",
year = "2005",
_month = mar,
publisher = "Elsevier Science",
url = "http://www.hutter1.de/ai/mifs.htm",
url2 = "http://arxiv.org/abs/cs.LG/0403025",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-11-02.pdf",
categories = "I.2. [Artificial Intelligence]",
keywords = "Mutual information, cross entropy, Dirichlet distribution, second
order distribution, expectation and variance of mutual
information, feature selection, filters, naive Bayes classifier,
Bayesian statistics.",
}
@InProceedings{Zaffalon:02feature,
author = "Marco Zaffalon and Marcus Hutter",
title = "Robust Feature Selection by Mutual Information Distributions",
_month = jun,
year = "2002",
pages = "577--584",
booktitle = "Proc. 18th International Conf. on
Uncertainty in Artificial Intelligence (UAI-2002)",
_editor = "A. Darwiche and N. Friedman",
publisher = "Morgan Kaufmann, San Francisco, CA",
http = "http://www.hutter1.de/ai/feature.htm",
url = "http://arxiv.org/abs/cs.AI/0206006",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-08-02.ps.gz",
categories = "I.2. [Artificial Intelligence]",
keywords = "Robust feature selection, Filter approach, naive Bayes classifier,
Mutual Information, Cross Entropy, Dirichlet distribution, Second
order distribution, Bayesian statistics, Credible intervals,
expectation and variance of mutual information, missing data.",
}
@InProceedings{Hutter:01xentropy,
author = "M. Hutter",
title = "Distribution of Mutual Information",
_month = dec,
booktitle = "Advances in Neural Information Processing Systems (NIPS) 14",
_editor = "T. G. Dietterich and S. Becker and Z. Ghahramani",
publisher = "MIT Press",
address = "Cambridge, MA",
pages = "399--406",
year = "2002",
http = "http://www.hutter1.de/ai/xentropy.htm",
url = "http://arxiv.org/abs/cs.AI/0112019",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-13-01.ps.gz",
categories = "I.2. [Artificial Intelligence]",
keywords = "Mutual Information, Cross Entropy, Dirichlet distribution, Second
order distribution, expectation and variance of mutual
information.",
}
@InProceedings{Kwee:01market,
author = "Ivo Kwee and Marcus Hutter and Juergen Schmidhuber",
title = "Market-Based Reinforcement Learning in Partially Observable Worlds",
address = "Vienna",
_month = aug,
year = "2001",
pages = "865--873",
booktitle = "Proc. International Conf. on Artificial Neural Networks (ICANN-2001)",
_journal = "Artificial Neural Networks (ICANN-2001)",
_editor = "Georg Dorffner and Horst Bishof and Kurt Hornik",
publisher = "Springer, Berlin",
series = "LNCS",
volume = "2130",
http = "http://www.hutter1.de/ai/pmarket.htm",
url = "http://arxiv.org/abs/cs.AI/0105025",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-10-01.ps.gz",
categories = "I.2. [Artificial Intelligence]",
keywords = "Hayek system; reinforcement learning; partial observable environment",
}
@InProceedings{Hutter:01fuss,
author = "M. Hutter",
title = "Fitness Uniform Selection to Preserve Genetic Diversity",
booktitle = "Proc. 2002 Congress on Evolutionary Computation (CEC-2002)",
address = "Honolulu, HI",
publisher = "IEEE",
ISSN = "1098-7576",
_month = may,
year = "2002",
pages = "783--788",
keywords = "Evolutionary algorithms, fitness uniform selection strategy,
preserve diversity, local optima, evolution,
correlated recombination, crossover.",
http = "http://www.hutter1.de/ai/pfuss.htm",
url = "http://arxiv.org/abs/cs.AI/0103015",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-01-01.ps.gz",
}
@InProceedings{Kwee:01grep,
author = "Ivo Kwee and Marcus Hutter and Juergen Schmidhuber",
title = "Gradient-based Reinforcement Planning in Policy-Search Methods",
year = "2001",
pages = "27--29",
booktitle = "Proc. 5th European Workshop on Reinforcement Learning (EWRL-5)",
volume = "27",
_editor = "Marco A. Wiering",
publisher = "Onderwijsinsituut CKI, Utrecht Univ.",
_series = "Cognitieve Kunstmatige Intelligentie",
ISBN = "90-393-2874-9",
ISSN = "1389-5184",
keywords = "Artificial intelligence, reinforcement learning, direct policy search,
planning, gradient decent.",
http = "http://www.hutter1.de/ai/pgrep.htm",
url = "http://arxiv.org/abs/cs.AI/0111060",
ftp = "http://www.idsia.ch/idsiareport/IDSIA-14-01.ps.gz",
}
@inproceedings{Zhidong:2010,
author = {Zhidong Li and
Yang Wang and
Jing Chen and
Jie Xu and
John Laird},
title = {Image Topic Discovery with Saliency Detection},
booktitle = {BMVC},
year = {2010},
pages = {1-11},
ee = {http://dx.doi.org/10.5244/C.24.33},
crossref = {DBLP:conf/bmvc/2010},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
@proceedings{DBLP:conf/bmvc/2010,
editor = {Fr{\'e}d{\'e}ric Labrosse and
Reyer Zwiggelaar and
Yonghuai Liu and
Bernie Tiddeman},
title = {British Machine Vision Conference, BMVC 2010, Aberystwyth,
UK, August 31 - September 3, 2010. Proceedings},
booktitle = {BMVC},
publisher = {British Machine Vision Association},
year = {2010},
isbn = {1-901725-40-5},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
@ARTICLE{Liebchen2009,
AUTHOR = {Tilman Liebchen},
TITLE = {MPEG-4 ALS – The Standard for Lossless Audio Coding},
JOURNAL = {Journal of the the Acoustical Society of Korea},
YEAR = {2009},
MONTH = oct,
PAGES = {618--629},
VOLUME = {28},
NUMBER = {7},
PDF = {http://elvera.nue.tu-berlin.de/files/1216Liebchen2009.pdf}
}
@INPROCEEDINGS{Raad2002,
author = {M. Raad and A. Mertins},
title = {From lossy to lossless audio coding using SPIHT},
booktitle = {Proc. of the 5th Int. Conference on Digital Audio Effects (DAFx-02)},
year = {2002},
pages = {245--250},
address = {Hamburg, Germany},
month = {Sept.}
}
% added 20140321 -----
@INPROCEEDINGS{lange2010deep,
author = {Lange, S. and Riedmiller, M.},
title = {Deep learning of visual control policies},
booktitle = {European Symposium on Artificial Neural Networks, Computational
Intelligence and Machine Learning (ESANN)},
year = {2010}
}
@article{kompella14JMLR,
title={Curiosity Driven Modular Incremental Slow Feature Analysis},
author={Kompella, Varun R. and Luciw, Matthew and Stollenga, Marijn F. and
Schmidhuber, Juergen},
journal={Submitted},
volume={},
number={},
pages={},
year={2014}
}
@INPROCEEDINGS{kompella14IJCNN,
author = {Kompella, Varun R. and Stollenga, Marijn F. and Luciw, Matthew and
Schmidhuber, Juergen},
title = {Explore to See, Learn to Perceive, Get the Actions for Free:
SKILLABILITY},
booktitle={Proceedings of IEEE Joint Conference of Neural
Networks (IJCNN)},
volume={},
number={},
pages={},
note = {To appear},
year={2014}
}
@article{hindsight2017,
title={Hindsight experience replay},
author={Andrychowicz, Marcin and Wolski, Filip and Ray, Alex and Schneider, Jonas and Fong, Rachel and Welinder, Peter and McGrew, Bob and Tobin, Josh and Abbeel, Pieter and Zaremba, Wojciech},
journal={Preprint arXiv:1707.01495},
year={2017}
}
@article{rauber2017hindsight,
title={Hindsight policy gradients},
author={Rauber, Paulo and Mutz, Filipe and Schmidhuber, Juergen},
journal={Preprint arXiv:1711.06006},
year={2017}
}
@book{woodworth1918dynamic,
title={Dynamic psychology, by Robert Sessions Woodworth},
author={Woodworth, R.S.},
year={1918},
publisher={Columbia University Press}
}
@incollection{keramatireinforcement,
title ={A Reinforcement Learning Theory for Homeostatic Regulation},
author={Mehdi Keramati and Boris S. Gutkin},
booktitle = {Advances in Neural Information Processing Systems (NIPS) 24},
editor = {J. Shawe-Taylor and R.S. Zemel and P. Bartlett and F.C.N. Pereira and
K.Q. Weinberger},
pages = {82--90},
publisher = {Curran Associates, Inc.},
year = {2011}
}
@article{cos2013hedonic,
title={Hedonic value: enhancing adaptation for motivated agents},
author={Cos, Ignasi and Ca{\~n}amero, Lola and Hayes, Gillian M and Gillies,
Andrew},
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volume={21},
number={6},
pages={465--483},
year={2013},
publisher={SAGE Publications}
}
@article{konidaris2005architecture,
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publisher={SAGE Publications}
}
@incollection{konidaris2006adaptive,
title={An adaptive robot motivational system},
author={Konidaris, G. and Barto, A.},
booktitle={From Animals to Animats 9},
pages={346--356},
year={2006},
publisher={Springer}
}
@INPROCEEDINGS{kompella14Drives,
author = {Kompella, Varun R. and Kazerounian, Sohrob and
Schmidhuber, Juergen},
title = {An Anti-{Hebbian} Learning Rule to Represent Drive Motivations for
Reinforcement Learning},
booktitle={Submitted},
volume={},
number={},
pages={},
year={2014}
}
@inproceedings{stollenga2013iros,
title={Task-Relevant Roadmaps: A Framework for Humanoid Motion Planning},
author={Stollenga, Marijn and Pape, Leo and Frank, Mikhail and Leitner, J{\"u}rgen and F{\"o}rster, Alexander and Schmidhuber, J{\"u}rgen},
booktitle={IEEE International Conference on Intelligent Robots and Systems (IROS)},
year=2013
}
@misc{stollenga2013aaai,
author = {Stollenga, Marijn and Pape, Leo and Frank, Mikhail and Leitner, J{\"u}rgen and F{\"o}rster, Alexander and Schmidhuber, J{\"u}rgen},
editor = {Pape, Leo},
booktitle = {AAAI Video Competition},
year = {2013},
title = {Task Relevant Roadmaps},
type = {Video},
howpublished = {\url{http://www.youtube.com/watch?v=N6x2e1Zf_yg}},
}
@article{stollenga2014icml,
title={SEAD: Self-Adaptive Deep Convolutional Networks with Full Feedback Connections},
author={Stollenga, M and Masci, J. and Schmidhuber, J.},
booktitle={International Conference on Machine Learning (ICML)},
note={Submitted to},
year={2014}
}
@inproceedings{pyramidlstm2015,
title={Parallel multi-dimensional LSTM, with application to fast biomedical volumetric image segmentation},
author={Stollenga, Marijn F and Byeon, Wonmin and Liwicki, Marcus and Schmidhuber, Juergen},
booktitle={Advances in Neural Information Processing Systems NIPS},
pages={2998--3006},
year={2015}
}
@article{stollenga2014sab,
title={Rapid Humanoid Motion Learning through Coordinated, Parallel Evolution},
author={Stollenga, M and Schmidhuber, J. and Gomez, F.},
booktitle={Simulation of Adaptive Behavior},
year={submitted}
}
@article{bengio2015attention,
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year={2015}
}
@inproceedings{koutnik2014gecco,
title={Evolving Deep/Recurrent Networks for Reinforcement Learning},
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booktitle = {Proceedings of the 2014 Genetic and Evolutionary Computation Conference (GECCO-2014)},
publisher = {ACM Press},
note={To appear},
year={2014}
}
@inproceedings{koutnik2014clockwork,
title={A Clockwork {RNN}},
author={Jan Koutn\'{i}k and Klaus Greff and Faustino Gomez and J\"{u}rgen Schmidhuber},
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year = {2014},
note = {Submitted to}
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year = {1969}}
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@inproceedings{DBLP:conf/dagm/SchneiderG13,
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pages = {174--183},
crossref = {DBLP:conf/dagm/2013},
url = {http://dx.doi.org/10.1007/978-3-642-40602-7_18},
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timestamp = {Sun, 28 Sep 2014 14:00:47 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/conf/dagm/SchneiderG13},
bibsource = {dblp computer science bibliography, http://dblp.org}
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@Article{PascalVOC2010,
author = "Everingham, M. and Van~Gool, L. and Williams, C. K. I. and Winn, J. and Zisserman, A.",
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month = jun,
pages = "303--338",
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@article{DBLP:journals/corr/LinCY13,
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title = {Network In Network},
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year = {2013},
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url = {http://arxiv.org/abs/1312.4400},
timestamp = {Sun, 28 Sep 2014 13:57:51 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/LinCY13},
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@inproceedings{DBLP:conf/ijcnn/SermanetL11,
author = {Pierre Sermanet and
Yann LeCun},
title = {Traffic sign recognition with multi-scale Convolutional Networks},
booktitle = {The 2011 International Joint Conference on Neural Networks, {IJCNN}
2011, San Jose, California, USA, July 31 - August 5, 2011},
year = {2011},
pages = {2809--2813},
crossref = {DBLP:conf/ijcnn/2011},
url = {http://dx.doi.org/10.1109/IJCNN.2011.6033589},
doi = {10.1109/IJCNN.2011.6033589},
timestamp = {Mon, 29 Sep 2014 17:23:58 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/conf/ijcnn/SermanetL11},
bibsource = {dblp computer science bibliography, http://dblp.org}
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@article{JMLR:v15:srivastava14a,
author = {Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov},
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journal = {Journal of Machine Learning Research},
year = {2014},
volume = {15},
pages = {1929-1958},
url = {http://jmlr.org/papers/v15/srivastava14a.html}
}
% Added by Jan 20141001
@proceedings{DBLP:conf/ijcnn/2011,
title = {The 2011 International Joint Conference on Neural Networks, {IJCNN}
2011, San Jose, California, USA, July 31 - August 5, 2011},
year = {2011},
publisher = {{IEEE}},
url = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6022827},
isbn = {978-1-4244-9635-8},
timestamp = {Wed, 01 Oct 2014 11:34:59 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/conf/ijcnn/2011},
bibsource = {dblp computer science bibliography, http://dblp.org}
}
@proceedings{DBLP:conf/dagm/2013,
editor = {Joachim Weickert and
Matthias Hein and
Bernt Schiele},
title = {Pattern Recognition - 35th German Conference, {GCPR} 2013, Saarbr{\"{u}}cken,
Germany, September 3-6, 2013. Proceedings},
series = {Lecture Notes in Computer Science},
year = {2013},
volume = {8142},
publisher = {Springer},
url = {http://dx.doi.org/10.1007/978-3-642-40602-7},
doi = {10.1007/978-3-642-40602-7},
isbn = {978-3-642-40601-0},
timestamp = {Wed, 01 Oct 2014 11:36:26 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/conf/dagm/2013},
bibsource = {dblp computer science bibliography, http://dblp.org}
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@article{DBLP:journals/corr/Krizhevsky14,
author = {Alex Krizhevsky},
title = {One weird trick for parallelizing convolutional neural networks},
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year = {2014},
volume = {abs/1404.5997},
url = {http://arxiv.org/abs/1404.5997},
timestamp = {Wed, 01 Oct 2014 14:02:35 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/Krizhevsky14},
bibsource = {dblp computer science bibliography, http://dblp.org}
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@article{DBLP:journals/corr/PaineJYLH13,
author = {Thomas Paine and
Hailin Jin and
Jianchao Yang and
Zhe Lin and
Thomas S. Huang},
title = {{GPU} Asynchronous Stochastic Gradient Descent to Speed Up Neural
Network Training},
journal = {CoRR},
year = {2013},
volume = {abs/1312.6186},
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biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/PaineJYLH13},
bibsource = {dblp computer science bibliography, http://dblp.org}
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@article{DBLP:journals/corr/YadanATR13,
author = {Omry Yadan and
Keith Adams and
Yaniv Taigman and
Marc'Aurelio Ranzato},
title = {Multi-GPU Training of ConvNets},
journal = {CoRR},
year = {2013},
volume = {abs/1312.5853},
url = {http://arxiv.org/abs/1312.5853},
timestamp = {Wed, 01 Oct 2014 14:07:24 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/YadanATR13},
bibsource = {dblp computer science bibliography, http://dblp.org}
}