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year = {2011},
number = {IDSIA-02-11},
note = {Submitted}
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author = "Jan Koutn{\'i}k and Giuseppe Cuccu and Juergen Schmidhuber and Faustino Gomez",
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address = "Chania, Crete, GR",
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title = {Automatic Basis Function Construction for Approximate Dynamic Programming
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booktitle = {ICML'06},
year = {2006},
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title = {Regularization and Feature Selection in Least-squares Temporal Difference
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year = {2009},
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title = {Using Active Relocation to Aid Reinforcement Learning},
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year = {2006},
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year = {2007},
type = {{P}h{D} thesis},
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title = {Analyzing Feature Generation for Value-function Approximation},
booktitle = {ICML'07},
year = {2007},
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institution = {Wellcome Department of Cognitive Neurology, University College London},
year = {2001},
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title = {Hessian-based Markov Chain Monte-carlo Algorithms},
year = {2002},
booktitle = {First Cape Cod Workshop on Monte Carlo Methods},
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year = {2000},
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title = {Bayesian Surprise Attracts Human Attention},
author = {L. Itti and P. F. Baldi},
booktitle = {Advances in Neural Information Processing Systems (NIPS) 19},
publisher = {MIT Press},
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year = {2005}
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author = {L. Itti and P. F. Baldi},
title = {A Principled Approach to Detecting Surprising Events in Video},
booktitle = {CVPR'05},
year = {2005},
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@InProceedings{liwicki:icdar2007,
author = {M. Liwicki and A. Graves and H. Bunke and J. Schmidhuber},
title = {A novel approach to on-line handwriting recognition based on bidirectional long short-term memory networks},
booktitle = {Proceedings of the 9th International Conference on Document Analysis and Recognition},
month = {September},
year = {2007}
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@InProceedings{fernandez:icann2007,
author = {S. Fern\'{a}ndez and A. Graves and J. Schmidhuber},
title = {An application of recurrent neural networks to discriminative keyword spotting},
booktitle = {Proceedings of the 17th International Conference on Artificial Neural Networks},
month = {September},
year = {2007}
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publisher={Springer}
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year={2012},
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author = "J. Schmidhuber",
title = "Compression Progress: The Algorithmic Principle Behind Curiosity and Creativity (with Applications of the Theory of Humor)",
note = "40 min video of invited talk at Singularity Summit 2009, New York City: http://www.vimeo.com/7441291. 10 min excerpts: http://www.youtube.com/watch?v=Ipomu0MLFaI",
year = "2009"}
@misc{Schmidhuber:13kurzweilai,
author = "J. Schmidhuber",
title = "In the beginning was the code. {Transcript of TEDx UHasselt talk (2012) at Kurzweil AI}",
note = "http://www.kurzweilai.net/in-the-beginning-was-the-code",
year = "March 2013"}
@misc{interview2012,
author = "A. Angelica",
title = "{Interview of J. Schmidhuber: How Bio-Inspired Deep Learning Keeps Winning Competitions}",
note = "KurzweilAI:
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year = "2012"}
@misc{Schmidhuber:09vimeo,
author = "J. Schmidhuber",
title = "Compression Progress: The Algorithmic Principle Behind Curiosity and Creativity",
note = "Video of invited talk at Singularity Summit 2009, New York City: http://www.vimeo.com/7441291",
year = "2009"}
@misc{Schmidhuber:10youtube,
author = "J. Schmidhuber",
title = "The Algorithmic Principle Behind Curiosity and Creativity",
note = "Video excerpts of invited talk at Singularity Summit 2009, New York City: http://www.youtube.com/watch?v=Ipomu0MLFaI",
year = "2010"}
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author = {M. Gagliolo and J. Schmidhuber},
title = {Learning Dynamic Algorithm Portfolios},
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url = {http://www.springerlink.com/content/g10248526jq91k52/},
year = {2007}
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@INPROCEEDINGS{Gagliolo:07ijcai,
author = {M. Gagliolo and J. Schmidhuber},
title = {Learning restart strategies},
year = {2007},
month = {January},
booktitle = {IJCAI 2007---20th International Joint Conference
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editor = {M. M. Veloso},
publisher = {AAAI Press}
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number = {3},
pages = {233--258}}
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author ={M. Beetz and T. Schmitt and R. Hanek and
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title ={The {AGILO} Robot Soccer Team Experience-based
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journal = {Autonomous Robots},
volume = {},
pages = {},
year = {2004}}
@inproceedings{Santi:07ijcai,
author = "S. Fernandez and Alex Graves and J. Schmidhuber",
title = {Sequence Labelling in Structured Domains with Hierarchical Recurrent Neural Networks},
booktitle = {Proceedings of the 20th International Joint Conference
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pages = {},
year = {2007}}
@inproceedings{Schmidhuber:05ijcai,
author = "J. Schmidhuber and D. Wierstra and F. J. Gomez",
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pages = {853-858},
year = {2005}}
@inproceedings{Schmidhuber:07ds,
author = "J. Schmidhuber",
title = "Simple Algorithmic Principles of Discovery, Subjective Beauty,
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year = {2004}}
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@techreport{Schmidhuber:03newai1,
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title={Compression Progress-Based Curiosity Drive for Developmental Learning},
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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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% these two are the same, different keys (Jan)
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booktitle = "Proceedings of the 15th Annual Conference
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journal = "Proceedings of the 12th European Conference on Machine
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year = "2001",
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year = {2000}}
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year = {2001},
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-03-01.ps.gz",
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editor = "C. E. Brodley and A. P. Danyluk",
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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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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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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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author = {Goller, Christoph and Sperduti, Alessandro and Starita, Antonina},
title = {Learning {D}istributed {R}epresentations for the {C}lassification of {T}erms},
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number = {AR-94-05},
type = {AR-report}
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@techreport{GK95a,
author = {Goller, Christoph and K{\"u}chler, Andreas},
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institution = {Institut f{\"u}r Informatik, Technische Universit{\"a}t M{\"u}nchen},
year = {1995},
number = {AR-95-02},
type = {AR-Report}
}
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institution= "Institute for Advanced Study, Princeton",
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abstract = {Learning to solve small instances of a problem should help in solving large instances. Unfortunately, most neural network architectures do not exhibit this form of scalability. Our Multi-Dimensional Recurrent LSTM Networks, however, show a high degree of scalability, as we empirically show in the domain of flexible-size board games. This allows them to be trained from scratch up to the level of human beginners, without using domain knowledge.},
author = {Schaul, Tom and Schmidhuber, J\"{u}rgen},
booktitle = {International Conference on Artificial Neural Networks (ICANN)},
file = {:C$\backslash$:/Users/Tom/workspace/Cig-go-follow-up/icann/icann-mdlstm-go.pdf:pdf},
keywords = {Board Games,Evolution Strategies,Go,LSTM,MDRNN,Neural Networks,games,recurrent neural networks,scalability},
mendeley-tags = {Board Games,Evolution Strategies,Go,LSTM,MDRNN,Neural Networks},
title = {{Scalable Neural Networks for Board Games}},
year = {2009}
}
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author = {Schaul, T. and Schmidhuber, J.},
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Networks,games,recurrent neural networks,scalability},
title = {Scalable Neural Networks for Board Games},
year = {2009}
}
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title={{Multimodal Parameter-exploring Policy Gradients}},
author={Sehnke, F. and Graves, A. and Osendorfer, C. and Schmidhuber, J.},
booktitle={2010 Ninth International Conference on Machine Learning and Applications},
pages={113--118},
year={2010},
organization={IEEE}
}
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title = {Gradient-Based Learning Applied to Document Recognition},
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author = {LeCun, Y. and Bottou, L. and Bengio, Y. and Haffner, P.},
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author = "Lev Semenovich Pontryagin and V. G. Boltyanskii and
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title = "The Mathematical Theory of Optimal Processes",
annote = "The Pontryagin Maximization Principle",
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@techreport{BRYSON-DENHAM-61A,
author={Bryson, Jr., Arthur E. and W. F. Denham},
title={A steepest-ascent method for solving optimum programming problems},
institution={Raytheon Company, Missle and Space Division},
number={BR-1303},
year=1961,
}
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author = "Bryson, Jr., Arthur E.",
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Programming Problems",
journal = Jof#"Applied Mechanics",
year = 1962,
volume = 29,
number = 2,
pages = 247,
keywords= "continuous backprop, learning algorithms"
}
@phdthesis{SPEELPENNING80A,
author = "Bert Speelpenning",
title = "Compiling Fast Partial Derivatives of Functions Given
by Algorithms",
school = "Department of Computer Science,
University of Illinois",
address = "Urbana-Champaign",
month = jan,
year = 1980,
}
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author= {A. J. Robinson},
title = {Dynamic Error Propagation Networks},
school = {Trinity Hall and Cambridge University Engineering Department},
year = {1989}}
@techreport{RobinsonFallside:87tr,
author= {A. J. Robinson and F. Fallside},
title = {The Utility Driven Dynamic Error Propagation Network},
institution = {Cambridge University Engineering Department},
number={CUED/F-INFENG/TR.1},
year = {1987}}
@article{RobinsonFallside:87,
author= {A. J. Robinson and F. Fallside},
title = {Static and Dynamic Error Propagation Networks with
Application to Speech Coding},
journal = {Proceedings of Neural Information Processing Systems,
American Institute of Physics},
year = {1987}}
@inproceedings{RobinsonFallside:89,
author = {T. Robinson and F. Fallside},
title = {Dynamic Reinforcement Driven Error Propagation
Networks with Application to Game Playing},
crossref = {CogSci:89},
year = {1989}}
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author = {M. R\"{o}scheisen and R. Hofmann and V. Tresp},
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booktitle =
{Advances in Neural Information Processing Systems (NIPS) 4},
editor={D. S. Lippman and J. E. Moody and D. S. Touretzky},
publisher={Morgan Kaufmann},
pages = {659-666},
year = {1992}}
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author = {R. Rohwer and B. Forrest},
title = {Training Time-Dependence in Neural Networks},
booktitle =
{IEEE 1st International Conference on Neural Networks, San Diego},
volume={2},
pages={701-708},
year = {1987}}
@inproceedings{Rohwer:89,
author = {R. Rohwer},
title = {The `Moving Targets' Training Method},
crossref = {DANIP:90},
year = {1989}}
@misc{Rohwer:90,
author = {R. Rohwer},
title = {Personal Communication},
year = {1990}}
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author={L. Bobrowski},
title={Learning processes in multilayer threshold nets},
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year = {1978}}
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title={Development of Feature Detectors by Self-Organization: A Network Model},
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pages={193-199},
year = {1990}}
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author={J. Rubner and P. Tavan},
title={A Self-Organization Network for Principal-Component Analysis},
journal={Europhysics Letters},
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year = {1989}}
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author={D. E. Rumelhart and G. E. Hinton and R. J. Williams},
title={Learning Internal Representations by Error Propagation},
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editor={D. E. Rumelhart and J. L. McClelland},
publisher = {MIT Press},
volume={1},
pages={318-362},
year = {1986}}
@incollection{RumelhartZipser:86,
author={D. E. Rumelhart and D. Zipser},
title={Feature Discovery by Competitive Learning},
booktitle = {Parallel Distributed Processing},
publisher = {MIT Press},
pages={151-193},
year={1986}}
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author={S. Russell and E. Wefald},
title = {Principles of {Metareasoning}},
journal={Artificial Intelligence},
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pages={361-395},
year={1991}}
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author={S. Russell and E. Wefald},
title = {Do the right thing. {Studies} in limited rationality},
publisher = {MIT Press},
year={1991}}
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journal={Artificial Intelligence},
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pages={245-285},
year={1994}}
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year = {1959}}
@inproceedings{Sanger:89,
author= {T. D. Sanger},
title = {An optimality principle for unsupervised learning},
booktitle =
{Advances in Neural Information Processing Systems (NIPS) 1},
editor={D. S. Touretzky},
publisher={Morgan Kaufmann},
pages = {11-19},
year = {1989}}
@inproceedings{Saul:96,
author = {L.K. Saul and S.P. Singh},
title = {Learning Curve Bounds for a {Markov} Decision Process with
Undiscounted Rewards},
booktitle =
{Proceedings of the 9th Annual Conference on
Computational Learning Theory},
note = {To appear},
year = {1996}}
@article{Sejnowski:87,
author={T. J. Sejnowski and C. R. Rosenberg},
title={Parallel Networks that Learn to Pronounce English Text},
journal={Complex Systems},
volume = {1},
year = {1987}}
@article{Shannon:48,
author={C. E. Shannon},
title= {A Mathematical Theory of Communication (Parts {I} and {II})},
journal={Bell System Technical Journal},
volume={XXVII},
pages={379-423},
year = {1948}}
@article{Shannon:48-3,
author={C. E. Shannon},
title= {A Mathematical Theory of Communication (Part {III})},
journal={Bell System Technical Journal},
volume={XXVII},
pages={623-656},
year = {1948}}
@article{Schaffer:93,
author={C. Schaffer},
title = { Overfitting Avoidance as Bias},
journal={Machine Learning},
volume={10},
pages={153-178},
year={1993}}
@article{Schapire:90,
author={R. E. Schapire},
title={The Strength of Weak Learnability},
journal={Machine Learning},
volume={5},
pages={197-227},
year={1990}}
@misc{schmidhuber87,
author = {J. Schmidhuber},
title = {{Evolutionary principles in self-referential learning, or
on learning how to learn: the meta-meta-... hook. Diploma thesis,
Inst. f. Inf., Tech. Univ. Munich}},
note = {http://www.idsia.ch/\~{ }juergen/diploma.html},
year = {1987}}
@misc{Schmidhuber:87long,
author = {J. Schmidhuber},
title = {{Evolutionary principles in self-referential learning, or
on learning how to learn: the meta-meta-... hook.
Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen}},
note = {http://www.idsia.ch/\~{ }juergen/diploma.html},
year = {1987}}
@misc{Schmidhuber:87,
author = {J. Schmidhuber},
title = {{Evolutionary principles in self-referential learning.
Diploma thesis, Institut f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen}},
note = {http://www.idsia.ch/\~{ }juergen/diploma.html},
year = {1987}}
@misc{Schmidhuber:90heat,
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},
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},
pages={135-141},
number={1 \& 2},
volume={2},
year = {1991}}
@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},
title = {Three-dimensional neural net for learning visuomotor coordination of a robot arm},
journal={IEEE Transactions on Neural Networks},
volume = {1},
number = {1},
pages={131-136},
year = {1990}}
@article{Ritter:02,
author = {P. McGuire and J. Fritsch and J. J. Steil and F. Rothling adn G. A. Fink and S. Wachsmuth and G. Sagerer and H. Ritter},
title = {Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks},
journal={Intelligent Robots and Systems},
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}}
@inproceedings{Wiering:98conald,
author = {M.A. Wiering and J. Schmidhuber},
title = {Learning exploration policies with models},
booktitle =
{Proc. CONALD},
editor={},
publisher={},
pages={},
year = {1998}}
@inproceedings{Jieyu:96self,
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}}
@article{Schmidhuber:97bias,
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}}
@techreport{Schmidhuber:98locoface,
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}}
@article{Schuermann:89,
author={B. Sch\"{u}rmann},
title={Stability and adaptation in artificial neural systems},
journal={Physical Review},
volume = {A 40},
number = {50},
pages={2681-2688},
year = {1989}}
@incollection{SilvaAlmeida:91,
author = "F. M. Silva and L. B. Almeida",
title = "A Distributed Decorrelation Algorithm",
booktitle = "Neural Networks, Advances and Applications",
editor = "Erol Gelenbe",
publisher = "North-Holland",
year = "1991"
}
@inproceedings{Singleton:91,
author= {J. C. Singleton and A. J. Surkan},
title = { Modeling the judgement of bond rating agencies:
Artificial intelligence applied to finance},
booktitle =
{Journal of the Midwest Finance Association (20)},
editor={},
pages={72-80},
publisher={},
year = {1991}}
@inproceedings{Singleton:93,
author= {J. C. Singleton and A. J. Surkan},
title = { Bond rating with neural networks},
booktitle =
{Proceedings of Neural Networks in the Capital Markets'},
editor={},
pages={},
publisher={London},
year = {1993}}
@article{SmithZipser:90,
author = { A. W. Smith and D. Zipser },
journal={International Journal of Neural Systems},
title = { Learning sequential structures with the real-time
recurrent learning algorithm},
pages={125-131},
volume={1},
year = {1990}}
@article{Solla:88,
author = {S. A. Solla},
title={Accelerated Learning in Layered Neural Networks},
journal={Complex Systems},
volume = {2},
pages={625-640},
year = {1988}}
@inproceedings{Solla:93,
author = {S. Solla},
title = { The emergence of Generalization Ability in Learning},
booktitle =
{Advances in Neural Information Processing Systems (NIPS) 5},
editor={D. S. Lippman and J. E. Moody and D. S. Touretzky},
publisher={Morgan Kaufmann},
note={In preparation},
pages = {},
year = {1993}}
@article{Solomonoff:64,
AUTHOR = "R. J. Solomonoff",
TITLE = "A formal theory of inductive inference. {Part I}",
JOURNAL = "Information and Control",
VOLUME = "7",
PAGES = "1-22",
YEAR = " 1964"}
@article{Solomonoff:78,
AUTHOR = "R. J. Solomonoff",
title={Complexity-Based Induction Systems},
journal={IEEE Transactions on Information Theory},
volume = {IT-24},
number = {5},
pages={422-432},
year = {1978}}
@inproceedings{Solomonoff:89,
AUTHOR = "R. J. Solomonoff",
title = {A System for Incremental Learning
Based on Algorithmic Probability},
booktitle = {Proceedings of the Sixth Israeli Conference
on Artificial Intelligence, Computer Vision and Pattern Recognition},
editor={},
publisher={Tel Aviv, Israel},
pages = {515-527},
year = {1989}}
@techreport{Solomonoff:03,
AUTHOR = "R. J. Solomonoff",
title = {Progress in Incremental Machine Learning---{Preliminary
Report for NIPS 2002 Workshop on Universal
Learners and Optimal Search; revised Sept 2003}},
institution = {IDSIA, Lugano},
number = {IDSIA-16-03},
year = {2003}}
@incollection{Solomonoff:86,
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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}
}
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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}
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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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Training with added noise works about as good.",
notes = "^^",
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author = {Tesfatsion, L.},
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}
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title = {No Free Lunch Theorems for Optimization},
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author = {Wolpert, D. H. and Macready, W. G.},
title = {An Empirically Observable Measure of Complexity},
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author = {Starr, R. M. and Stinchcombe, M. B.},
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year = 1996
}
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author = {Epstein, J. M.},
title = {Nonlinear Dynamics, Mathematical Biology, and Social Science},
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address = {Reading, MA},
year = 1997
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year = 1990
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author = {Keller, L. and Reeve, H. K.},
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}
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author = {Nowak, M. A. and Sigmund, K.},
title = {Evolution of Inderect Reciprocity by Image Scoring},
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year = {1998}
}
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author = {Christini, D. J. and Collins, J. J.},
title = {Using Noise and Chaos Control to Control Nonchaotic Systems },
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year = {1995}
}
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author = {Lenton, T. M.},
title = {Gaia and Natural Selection},
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}
@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},
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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$:/Users/Tom/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Schaul - 2005 - Evolving a compact, concept-based Sokoban solver.pdf:pdf},
keywords = {Genetic Programming,Sokoban},
mendeley-tags = {Genetic Programming,Sokoban},
publisher = {EPFL},
title = {{Evolving a compact, concept-based Sokoban solver}},
year = {2005}
}
@inproceedings{RHisit,
author = {Ryabko, D and Hutter, Marcus},
booktitle = {Proceedings of IEEE International Symposium on Information Theory},
pages = {2461--2464},
title = {{On Sequence Prediction for Arbitrary Measures}},
year = {2007}
}
@misc{Schaul2005,
address = {Lausanne},
author = {Schaul, Tom},
file = {:C$\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}
}
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author = {Togelius, Julian and Lucas, Simon M and {Duc Thang}, Ho and Garibaldi, Jonathan M and Nakashima, Tomoharu and Tan, Chin Hiong and Elhanany, Itamar and Berant, Shay and Hingston, Philip and MacCallum, Robert M and Haferlach, Thomas and Gowrisankar, Aravind and Burrow, Pete},
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journal = {Genetic Programming and Evolvable Machines},
publisher = {Springer},
title = {{The 2007 IEEE CEC Simulated Car Racing Competition}},
url = {http://dx.doi.org/10.1007/s10710-008-9063-0},
year = {2008}
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@InProceedings{loiacono08competition,
author = {Loiacono, D. and Togelius, J. and Lanzi, P. L. and Kinnaird-Heether, L. and Lucas, S. M.
and Simmerson, M. and Saez, Y. },
title = {The WCCI 2008 simulated car racing competition},
booktitle = {Proceedings of the Conference on Computational Intelligence and Games (CIG)},
pages = "119--126",
year = 2008,
publisher = "IEEE"
}
@MISC{wcci:torcs:09,
author = {Daniele Loiacono and Pier Luca Lanzi and Julian Togelius and Enrique Onieva and David A. Pelta and Martin V. Butz and Thies D. L\"{o}nneker and Luigi Cardamone and Diego Perez and Yago S\'{a}ez and Mike Preuss and Jan Quadflieg},
title = {The 2009 Simulated Car Racing Championship},
year = {2009}
}
@conference {DBLP:conf/ppsn/TogeliusSSG08,
title = {Countering Poisonous Inputs with Memetic Neuroevolution},
booktitle = {PPSN},
year = {2008},
pages = {610-619},
author = {Julian Togelius and Tom Schaul and Juergen Schmidhuber and Faustino Gomez}
}
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title = {Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes},
journal = {CoRR},
volume = {abs/0812.4360},
year = {2008},
author = {Juergen Schmidhuber}
}
@inproceedings{agapitos08generating,
author = {Agapitos, Alexander and Togelius, Julian and Lucas, Simon M and Schmidhuber, Juergen and Konstantinides, Andreas},
booktitle = {Proceedings of the IEEE Symposium on Computational Intelligence and Games},
title = {{Generating Diverse Opponents with Multiobjective Evolution}},
year = {2008}
}
@conference {DBLP:conf/cig/AgapitosTLSK08,
title = {Generating diverse opponents with multiobjective evolution},
booktitle = {CIG},
year = {2008},
pages = {135-142},
author = {Alexandros Agapitos and Julian Togelius and Simon M. Lucas and Juergen Schmidhuber and Andreas Konstantinidis}
}
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title = {The last inventor of the telephone},
journal = {Science},
volume = {319},
number = {5871},
year = {2008},
pages = {1759},
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@conference {DBLP:conf/pkdd/RuckstiessFS08,
title = {State-Dependent Exploration for Policy Gradient Methods},
booktitle = {ECML/PKDD (2)},
year = {2008},
pages = {234-249},
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@conference {DBLP:conf/dcai/GaglioloS08,
title = {Towards Distributed Algorithm Portfolios},
booktitle = {DCAI},
year = {2008},
pages = {634-643},
author = {Matteo Gagliolo and Juergen Schmidhuber}
}
@conference {DBLP:conf/icann/FernandezGS07,
title = {An Application of Recurrent Neural Networks to Discriminative Keyword Spotting},
booktitle = {Proc. ICANN (2)},
year = {2007},
pages = {220-229},
author = {Santiago Fern{\'a}ndez and Alex Graves and Juergen Schmidhuber}
}
@conference {DBLP:conf/icann/GravesFS07,
title = {Multi-dimensional Recurrent Neural Networks},
booktitle = {ICANN (1)},
year = {2007},
pages = {549-558},
author = {Alex Graves and Santiago Fern{\'a}ndez and Juergen Schmidhuber}
}
@article {schmidhuber2007pro,
title = {Prototype resilient, self-modeling robots},
journal = {Science},
volume = {316},
number = {5825},
year = {2007},
pages = {688},
author = {Juergen Schmidhuber}
}
@conference {DBLP:conf/esann/ForsterGS07,
title = {RNN-based learning of compact maps for efficient robot localization},
booktitle = {ESANN},
year = {2007},
pages = {537-542},
isbn = {2-930307-07-2},
author = {Alexander F{\"o}rster and Alex Graves and Juergen Schmidhuber}
}
@conference {DBLP:conf/isaim/GaglioloS06,
title = {Dynamic Algorithm Portfolios},
booktitle = {ISAIM},
year = {2006},
author = {Matteo Gagliolo and Juergen Schmidhuber}
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title = {Prefix-Like Complexities and Computability in the Limit},
booktitle = {CiE},
year = {2006},
pages = {85-93},
author = {Alexey V. Chernov and Juergen Schmidhuber}
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pages = "2061--2067",
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author = "M. Hutter",
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Loss and Alphabet",
volume = "4",
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journal = "Journal of Machine Learning Research",
publisher = "MIT Press",
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@InProceedings{Hutter:03mlconv+,
author = "M. Hutter",
title = "An Open Problem Regarding the Convergence
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year = "2003",
note = "(On J. Schmidhuber's SNF grant 20-61847)"
}
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author = "M. Hutter",
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editor = "R. Gavald{\'a} and K. P. Jantke and E. Takimoto",
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publisher = "Springer",
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pages = "298--312",
year = "2003",
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note = "(On J. Schmidhuber's SNF grant 20-61847)"
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author = "M. Hutter",
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series = "Lecture Notes in Artificial Intelligence",
publisher = "Springer",
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year = "2003",
note = "(On J. Schmidhuber's SNF grant 20-61847)"
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@InProceedings{Hutter:03mimiss+,
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title = "Bayesian Treatment of Incomplete Discrete Data applied
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pages = "396--406",
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volume = "2821",
booktitle = "Proceedings of the 26th German Conference on Artificial
Intelligence (KI-2003)",
editor = "A. G{\"u}nter, R. Kruse and B. Neumann",
publisher = "Springer",
address = "Heidelberg",
note = "(On J. Schmidhuber's SNF grant 20-61847)"
}
@InProceedings{Hutter:03idm+,
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address = "Canada",
year = "2003",
pages = "274--289",
note = "(On J. Schmidhuber's SNF grant 20-61847)"
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year = 1999,
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publisher = "Morgan Kaufman",
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author = "F. J. Gomez",
title = "Robust Nonlinear Control through
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school = "Department of Computer Sciences, University of Texas at Austin",
year = 2003
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author={Gomez, Faustino J and Miikkulainen, Risto},
booktitle={Genetic and Evolutionary Computation—GECCO 2003},
pages={2084--2095},
year={2003},
organization={Springer}
}
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author = "F. J. Gomez and J. Schmidhuber",
title = "Co-evolving Recurrent Neurons Learn Deep Memory {POMDPs}",
booktitle = "Proc. of the 2005 conference on genetic and evolutionary computation (GECCO), Washington, D. C.",
publisher = {ACM Press, New York, NY, USA},
year ="2005"}
@inproceedings{Gomez:05geccocern,
author = "F. J. Gomez and J. Schmidhuber",
title = "Co-evolving Recurrent Neurons Learn Deep Memory {POMDPs}",
booktitle = "Proc. of the 2005 conference on genetic and evolutionary computation (GECCO), Washington, D. C.",
publisher = {ACM Press, New York, NY, USA},
note = "{\em Nominated for a best paper award.}",
year ="2005"}
@InProceedings{Gomez:03+,
author = "F. J. Gomez and R. Miikkulainen",
title = "Active Guidance for a Finless Rocket using Neuroevolution",
booktitle = "Proc. GECCO 2003, Chicago",
pages={2084--2095},
note = "{\em Winner of Best Paper Award in
Real World Applications. Gomez was working at IDSIA on a CSEM grant to J. Schmidhuber.}",
year = "2003"}
@InProceedings{Gomez:03,
author = "F. J. Gomez and R. Miikkulainen",
title = "Active Guidance for a Finless Rocket using Neuroevolution",
booktitle = "Proc. GECCO 2003, Chicago",
year = "2003"}
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title = GECCO-03,
booktitle = GECCO-03,
publisher = SPR # SPR-ADDR,
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OPTurl = "http://www-illigal.ge.uiuc.edu:8080/gecco-2001/",
site = "Chicago",
annote = "held July 12--16, 2003",
year = 2003,}
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year = {2002}}
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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",
}
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note = {Special Issue: Meta-Learning}
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year = "2001",
volume = "126",
number = "1--2",
pages = "1--4",
topic = "resource-bounded-reasoning;",
note= "Special Issue"
}
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pages = "43--62",
topic = "search;AI-algorithms;anytime-algorithms;"
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volume = "67",
number = "2",
pages = "245--285",
abstract = "We are interested in the problem faced by an
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computational resources is important for complex
problem-solving tasks in which the time spent in
decision making affects the quality of the responses
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outcomes resulting from applying those procedures. Our
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Deliberation scheduling involves the explicit
allocation of computational resources to
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of those allocations on the system's performance.",
topic = "limited-rationality;",
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address = "Orlando, Florida, USA",
publisher_address = "San Francisco, CA 94104, USA",
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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)",
}
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author = "S. Nolfi and D. Floreano and O. Miglino and F. Mondada",
title = "How to Evolve Autonomous Robots: {D}ifferent
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crossref = "alife94",
pages = "190--197"}
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title={Learning and evolution in neural networks},
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year={1994}
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editor = "R. A. Brooks and P. Maes",
publisher = "MIT",
ISBN = "0-262-52190-3",
year = 1994,
site = "Cambridge, MA"}
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author = "O. Miglino and H. Lund and S. Nolfi",
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pages = "417-434",
year = "1995"}
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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}
}
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TITLE = {HTK Version 3.2: User, Reference and Programmer Manual},
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PUBLISHER = {Cambridge University},
LOCATION = {Cambridge}
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AUTHOR = {R. J. Jones and S. Downey and J. S. Mason},
TITLE = {Continuous Speech Recognition Using Syllables},
BOOKTITLE = {Proc. Eurospeech '97},
ADDRESS = {Rhodes, Greece},
PAGES = {1171--1174},
YEAR = {1997},
URL = {citeseer.ist.psu.edu/363084.html}
}
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BOOKTITLE = {Proceedings of the ESCA Workshop on Modeling Pronunciation Variation for Automatic Speech Recognition},
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YEAR = {1998},
URL = {citeseer.ist.psu.edu/greenberg98speaking.html}
}
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YEAR = {1986},
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BOOKTITLE = {Proceedings of the Fourteenth International Congress of Phonetic Sciences},
ADDRESS = {San Francisco},
YEAR = {1999}
}
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JOURNAL = "Bioinformatics",
VOLUME = "15",
PAGES = "937-946",
YEAR = 1999
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year={2008}
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journal={Journal of Chemical Information and Modeling},
year={2012},
volume={52},
number={10},
pages={2526-2540}
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title={Deep architectures and deep learning in chemoinformatics: the prediction of aqueous solubility for drug-like molecules},
author={Lusci, Alessandro and Pollastri, Gianluca and Baldi, Pierre},
journal={Journal of Chemical Information and Modeling},
volume={53},
number={7},
pages={1563--1575},
year={2013}
}
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title={Deep Architectures for Protein Contact Map Prediction},
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journal={Bioinformatics},
volume={28},
pages={2449-2457},
year={2012}
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AUTHOR = "P. Baldi",
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YEAR = 1987,
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VOLUME = "6",
NUMBER = "1",
PAGES = "182-195",
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YEAR = 1996,
VOLUME = "8",
NUMBER = "7",
PAGES = "1541-1565",
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YEAR = 1991,
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PAGES = "589-603",
}
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AUTHOR = "P. Baldi and K. Hornik",
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JOURNAL = "IEEE Transactions on Neural Networks",
YEAR = 1994,
VOLUME = "6",
NUMBER = "4",
PAGES = "837-858",
NOTE = "1995",
}
@article{baldiboolean12,
author = {P. Baldi},
title = {Boolean Autoencoders and Hypercube Clustering Complexity},
journal = {Designs, Codes, and Cryptography},
volume = {65},
number = {3},
publisher = {Springer},
pages = {383-403},
year = {2012},
}
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title={Autoencoders, Unsupervised Learning, and Deep Architectures},
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pages={37-50},
year={2012}
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year={2011},
organization={AAAI Press}
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EPRINT = {q-bio/0310026},
YEAR = 2003,
MONTH = OCT,
ADSNOTE = {Provided by the NASA Astrophysics Data System}
}
@ARTICLE{baldi01bidirectional,
AUTHOR = {P. Baldi and S. Brunak and P. Frasconi and G. Pollastri and G. Soda},
TITLE = {Bidirectional Dynamics for Protein Secondary Structure Prediction},
JOURNAL = {Lecture Notes in Computer Science},
VOLUME = {1828},
PAGES = {80--104},
YEAR = {2001},
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AUTHOR = {J. Chen and N. S. Chaudhari},
EDITOR = {F. Yin and
J. Wang and
C. Guo},
TITLE = {Capturing Long-Term Dependencies for Protein Secondary Structure Prediction},
BOOKTITLE = {Advances in Neural Networks - ISNN 2004, International Symposiumon Neural Networks, Part II},
PUBLISHER = {Springer},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {3174},
PAGES = {494--500},
YEAR = {2004},
ADDRESS = {Dalian, China},
ISBN = {3-540-22843-8},
BIBSOURCE = {DBLP, http://dblp.uni-trier.de}
}
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VOLUME = {45},
YEAR = {1997},
MONTH = {November},
PAGES = {2673--2681}
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AUTHOR = {J. Godfrey, E. Holliman and J. McDaniel},
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booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
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}
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AUTHOR = {A. Graves and D. Eck and N. Beringer and J. Schmidhuber},
TITLE = {Rapid Retraining with {LSTM} Recurrent Networks},
INSTITUTION = {IDSIA},
YEAR = {2004},
ADDRESS = {www.idsia.ch/\-techrep.html}
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AUTHOR = {H.A. Bourlard and N. Morgan},
TITLE = {Connnectionist Speech Recognition: A Hybrid Approach},
YEAR = {1994},
PUBLISHER = {Kluwer Academic Publishers},
LOCATION = {Boston}
}
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AUTHOR = {Anthony J. Robinson},
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YEAR = {1994},
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AUTHOR = {Randall O'Reilly},
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INSTITUTION = {ICS},
YEAR = {2003},
NUMBER = {ICS-03-03},
MONTH = {June},
PDF = {http://psych.colorado.edu/~oreilly/papers/OReilly03_pbwm.pdf}
}
@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.
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:2004,
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 = {2004},
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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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}
}
@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},
journal={Adaptive Behavior},
volume={21},
number={6},
pages={465--483},
year={2013},
publisher={SAGE Publications}
}
@article{konidaris2005architecture,
title={An architecture for behavior-based reinforcement learning},
author={Konidaris, George Dimitri and Hayes, Gillian M},
journal={Adaptive Behavior},
volume={13},
number={1},
pages={5--32},
year={2005},
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,
title={Show, attend and tell: Neural image caption generation with visual attention},
author={Xu, Kelvin and Ba, Jimmy and Kiros, Ryan and Cho, Kyunghyun and Courville, Aaron and Salakhutdinov, Ruslan and Zemel, Richard S and Bengio, Yoshua},
journal={Preprint arXiv:1502.03044},
volume={2},
number={3},
pages={5},
year={2015}
}
@inproceedings{koutnik2014gecco,
title={Evolving Deep/Recurrent Networks for Reinforcement Learning},
author={Jan Koutn\'{i}k and Faustino Gomez and J\"{u}rgen Schmidhuber},
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},
booktitle = {International Conference on machine Learning (ICML)},
year = {2014},
note = {Submitted to}
}
@article{Grossberg69a,
author={Stephen Grossberg},
title={Some networks that can learn, remember, and reproduce any number of complicated space-time patterns, {I.}},
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volume = {19},
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year = {1969}}
@inproceedings{lee2007sparse,
title={Sparse deep belief net model for visual area {V2}},
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@inproceedings{DBLP:conf/dagm/SchneiderG13,
author = {Nicolas Schneider and Dariu M. Gavrila},
title = {Pedestrian Path Prediction with Recursive Bayesian Filters: {A} Comparative Study},
booktitle = {Pattern Recognition - 35th German Conference, {GCPR} 2013, Saarbr{\"{u}}cken, Germany, September 3-6, 2013. Proceedings},
year = {2013},
pages = {174--183},
crossref = {DBLP:conf/dagm/2013},
url = {http://dx.doi.org/10.1007/978-3-642-40602-7_18},
doi = {10.1007/978-3-642-40602-7_18},
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}
}
@Article{PascalVOC2010,
author = "Everingham, M. and Van~Gool, L. and Williams, C. K. I. and Winn, J. and Zisserman, A.",
title = "The Pascal Visual Object Classes (VOC) Challenge",
journal = "International Journal of Computer Vision",
volume = "88",
year = "2010",
number = "2",
month = jun,
pages = "303--338",
}
@article{DBLP:journals/corr/LinCY13,
author = {Min Lin and
Qiang Chen and
Shuicheng Yan},
title = {Network In Network},
journal = {CoRR},
year = {2013},
volume = {abs/1312.4400},
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},
bibsource = {dblp computer science bibliography, http://dblp.org}
}
@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}
}
@article{JMLR:v15:srivastava14a,
author = {Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov},
title = {Dropout: A Simple Way to Prevent Neural Networks from Overfitting},
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},
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year = {2013},
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publisher = {Springer},
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