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note = {Submitted}
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booktitle = {IEEE-RAS International Conference on Humanoid Robots},
year = {2011},
address = {Bled, Slovenia},
owner = {Owner},
timestamp = {2011.09.28}
}
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author = {J. Schmidhuber and D. Ciresan and U. Meier and J. Masci and A. Graves},
booktitle = {{Proc. Fourth Conference on Artificial General Intelligence (AGI), Google, Mountain View, CA}},
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@InProceedings{koutnik:fdg13,
author = "Jan Koutn{\'i}k and Giuseppe Cuccu and Juergen Schmidhuber and Faustino Gomez",
title = "Evolving Large-Scale Neural Networks for Vision-Based {TORCS}",
booktitle = "Foundations of Digital Games",
year = 2013,
address = "Chania, Crete, GR",
pages = "206--212",
isbn = "ISBN 978-0-9913982-0-1"
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@InProceedings{koutnik:gecco13,
author = "Jan Koutn{\'i}k and Giuseppe Cuccu and Juergen Schmidhuber and Faustino Gomez",
title = "Evolving Large-Scale Neural Networks for Vision-Based Reinforcement Learning",
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address = "Amsterdam",
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publisher = "ACM"
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year = {2013},
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year = {2011}
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title = {{Coherence Progress: A Measure of Interestingness Based on
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year = {2011}
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author = {Gisslen, L. and Luciw, M. and Graziano, V. and Schmidhuber, J.},
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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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title = {Analyzing Feature Generation for Value-function Approximation},
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institution = {Wellcome Department of Cognitive Neurology, University College London},
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year = {2002},
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title = {Bayesian Surprise Attracts Human Attention},
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booktitle = {Advances in Neural Information Processing Systems (NIPS) 19},
publisher = {MIT Press},
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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},
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month = {September},
year = {2007}
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publisher={Springer}
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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},
journal = {Annals of Mathematics and Artificial Intelligence},
note = {{AI}\&{MATH} 2006 Special Issue},
doi = {10.1007/s10472-006-9036-z},
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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pages = {792-797},
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",
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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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publisher = "Springer",
pages = "26-38",
note = "Joint invited lecture for {\em ALT 2007 and DS 2007}, Sendai, Japan, 2007",
year = "2007"}
@inproceedings{Schmidhuber:07alt,
author = "J. Schmidhuber",
title = "Simple Algorithmic Principles of Discovery, Subjective Beauty,
Selective Attention, Curiosity \& Creativity",
editors="M. Hutter, R. A. Servedio, E. Takimoto",
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publisher = "Springer",
pages = "32-33",
note = "Joint invited lecture for {\em ALT 2007 and DS 2007}, Sendai, Japan, 2007",
year = "2007"}
@InProceedings{gomez:09icann,
author = "F. J. Gomez and J. Togelius and J. Schmidhuber",
title = " Measuring and Optimizing Behavioral Complexity",
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author ={J. Schmidhuber and M. Hutter},
title ={{NIPS 2002 workshop on universal learning
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year = {2011}}
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year = {2006}}
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title = {Evolino for Recurrent Support Vector Machines},
institution = {{IDSIA} --- Istituto Dalle Molle di Studi sull'Intelligenza Artificiale},
year = {2005},
number = {{IDSIA}-19-05 ver. 2.0, arXiv:cs.NE/0512062},
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year = {2006}}
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year = {2004}}
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address = "Amsterdam, NL",
year = {2004}}
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editor = "",
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author = {J. Schmidhuber},
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address = "Cambridge, MA",
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author = {J. Schmidhuber},
title = {Bias-Optimal Incremental Problem Solving},
booktitle =
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editor={},
publisher={MIT Press, Cambridge, MA},
pages = {},
note = {Available at http://www.nips.cc/NIPS2002/NIPS2002preproceedings/
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year = {2003}}
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author = {J. Schmidhuber},
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note = {Preprint available as arXiv:0708.4311},
publisher = {Springer Berlin / Heidelberg},
pages={29-41},
volume={LNAI 4850},
year = {2007}}
@incollection{Schmidhuber:05gmai,
author = {J. Schmidhuber},
title = {G\"{o}del machines:
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editor={B. Goertzel and C. Pennachin},
note = {Variant available as arXiv:cs.LO/0309048},
publisher = {Springer Verlag},
pages={199-226},
year = {2006}}
@incollection{Schmidhuber:07gmai,
author = {J. Schmidhuber},
title = {G\"{o}del machines:
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booktitle = {Artificial General Intelligence},
editor={B. Goertzel and C. Pennachin},
note = {Variant available as arXiv:cs.LO/0309048},
publisher = {Springer Verlag},
pages={199-226},
year = {2007}}
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pages={1-23},
year = {2005}}
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year = {2004}}
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year = {2008}}
@misc{Schmidhuber:12rnn,
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year = {2012}}
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year = {2004}}
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note = {http://www.idsia.ch/\~{ }juergen/rl.html},
year = {2008}}
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note = {http://www.idsia.ch/\~{ }juergen/interest.html},
year = {2004}}
@misc{Schmidhuber:12cur,
author = {J. Schmidhuber},
title = {Overviews of artificial curiosity/creativity and active exploration
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note = {http://www.idsia.ch/\~{ }juergen/interest.html, http://www.idsia.ch/\~{ }juergen/creativity.html},
year = {2012}}
@misc{Schmidhuber:04gmhtml,
author = {J. Schmidhuber},
title ={G\"{o}del machine home page, with frequently asked questions},
note = {http://www.idsia.ch/\~{ }juergen/goedelmachine.html},
year = {2004}}
@misc{Schmidhuber:04subgoals,
author = {J. Schmidhuber},
title = {{Overview of work on hierarchical
learning and automatic subgoal generation, with a dozen publications}},
note = {http://www.idsia.ch/\~{ }juergen/subgoals.html},
year = {2004}}
@misc{Schmidhuber:04learningrobots,
author = {J. Schmidhuber},
title = {{Overview of work on robot learning, with publications}},
note = {http://www.idsia.ch/\~{ }juergen/learningrobots.html},
year = {2004}}
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note = {http://www.idsia.ch/\~{ }juergen/unilearn.html},
year = {2004}}
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note = {To appear},
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author = "M. Hutter",
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@Book{Hutter:05book+,
author = "M. Hutter",
title = "Universal Artificial Intelligence:
Sequential Decisions based on Algorithmic Probability",
publisher = "Springer",
address = "Berlin",
note = "(On J. Schmidhuber's SNF grant 20-61847)",
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author = "M. Hutter",
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year = "2006"}
@Incollection{Schmidhuber:03grandai,
author = "J. Schmidhuber",
title = "Towards Solving the Grand Problem of {AI}",
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publisher = "Centro Internacional de Mathematica, Coimbra, Portugal",
pages = "77-97",
note = {Based on \cite{Schmidhuber:03newai}},
year = "2003"}
@techreport{Schmidhuber:03newai1,
author = "J. Schmidhuber",
title = "The New {AI}: General \& Sound \& Relevant for Physics",
number = {TR IDSIA-04-03, Version 1.0, arXiv:cs.AI/0302012 v1},
month = {February},
year = "2003"}
@techreport{schmidhuber2014deep,
author = "J. Schmidhuber",
title = "Deep Learning in Neural Networks: An Overview",
institution ={The Swiss AI Lab IDSIA},
number = {IDSIA-03-14 / arXiv:1404.7828v1 [cs.NE]},
year = "2014"}
@techreport{800refs,
author = "J. Schmidhuber",
title = "Deep Learning in Neural Networks: An Overview",
institution ={The Swiss AI Lab IDSIA},
number = {IDSIA-03-14 / arXiv:1404.7828 [cs.NE]},
note = {A detailed overview of the state of the art, with over 850 references. {\em Neural Networks}, in press},
year = "2014"}
@techreport{888refs,
author = "J. Schmidhuber",
title = "Deep Learning in Neural Networks: An Overview",
institution ={The Swiss AI Lab IDSIA},
number = {IDSIA-03-14 / arXiv:1404.7828 [cs.NE]},
note = {A detailed overview of the state of the art, with 888 references. {\em Neural Networks}, in press},
year = "2014"}
@article{888,
author = "J. Schmidhuber",
title = "Deep Learning in Neural Networks: An Overview",
journal = "Neural Networks",
pages = "85-117",
volume = "61",
doi = "10.1016/j.neunet.2014.09.003",
note = "Published online 2014; 888 references; based on TR arXiv:1404.7828 [cs.NE]",
year = "2015"}
@techreport{Schmidhuber:11powerplay,
author = "J. Schmidhuber",
title = "{{\sc PowerPlay}: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem}",
institution="IDSIA",
number = {arXiv:1112.5309v1 [cs.AI]},
year = "2011"}
@techreport{Schmidhuber:12slimnn,
author = "J. Schmidhuber",
title = "Self-Delimiting Neural Networks",
institution ={The Swiss AI Lab IDSIA},
number = {IDSIA-08-12, arXiv:1210.0118v1 [cs.NE]},
year = "2012"}
@techreport{mydeep2013,
author = "J. Schmidhuber",
title = "My First {Deep Learning} System of 1991 $+$ {Deep Learning} Timeline 1962-2013",
institution="The Swiss AI Lab IDSIA",
number = {arXiv:1312.5548v1 [cs.NE]},
year = "2013"}
@techreport{powerplay2012experiments,
author = "R. K. Srivastava and B. R. Steunebrink and J. Schmidhuber",
title = "{First Experiments with {\sc PowerPlay}}",
number = {arXiv:1210.8385v1 [cs.AI], www.deeplearning.me},
year = "2012"}
@article{Schmidhuber:13powerplay,
author = "J. Schmidhuber",
title = "{{\sc PowerPlay}: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem}",
journal = {Frontiers in Psychology},
doi = "10.3389/fpsyg.2013.00313",
year = "2013"}
@article{powerplay2013nn,
author = "R. K. Srivastava and B. R. Steunebrink and J. Schmidhuber",
title = "{First Experiments with {\sc PowerPlay}}",
journal = {Neural Networks},
issn = "0893-6080",
doi = "10.1016/j.neunet.2013.01.022",
year = "2013"}
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author = "J. Schmidhuber",
title = "The New {AI}: General \& Sound \& Relevant for Physics",
editor = "B. Goertzel and C. Pennachin",
booktitle = {Artificial General Intelligence},
publisher = "Springer",
pages={175-198},
note = {Also available as TR IDSIA-04-03, arXiv:cs.AI/0302012},
year = "2006"}
@INPROCEEDINGS{steunebrink13agi,
author = {Steunebrink, Bas R. and Koutn\'{i}k, Jan and Th\'orisson, Kristinn R. and Nivel, Eric and Schmidhuber, J\"urgen},
title = {Resource-Bounded Machines are Motivated to be Effective, Efficient, and 97bia},
booktitle = {Proceedings of the 6th Conference on Artificial General Intelligence (AGI 2013)},
year = {2013},
editor = {K.-U. K\"uhnberger and S. Rudolph and P. Wang},
series = {LNAI 7999},
pages = {119--129},
address = {Heidelberg},
publisher = {Springer}
}
@TECHREPORT{aera13tr,
author = {Nivel, Eric and Th\'orisson, Kristinn R. and Steunebrink, Bas R. and Dindo, Haris and Pezzulo, Giovanni and Rodriguez, Manuel and Hernandez, Carlos and Ognibene, Dimitri and Schmidhuber, J\"urgen and Sanz, Ricardo and Helgason, Helgi P. and Chella, Antonio and Jonsson, Gudberg K.},
title = {Bounded Recursive Self-Improvement},
institution = {Reykjavik University},
year = {2013},
number = {RUTR-SCS13006},
url = {http://arxiv.org/abs/1312.6764}
}
@article{rueckstiess2011a,
Author = {T. R{\"u}ckstie{\ss} and J. Schmidhuber},
Journal = {The Python Papers},
Number = {1},
Pages = {2},
Title = {A Python Experiment Suite},
Volume = {6},
Year = {2011}}
@article{rueckstiess2011b,
Author = {T. R{\"u}ckstie{\ss} and J. Schmidhuber},
Journal = {The Python Papers Source Codes},
Title = {{Python Experiment Suite Implementation}},
Volume = {2:4},
Year = {2011}}
@INPROCEEDINGS{Hung2011,
author={Hung Ngo and Mark Ring and J{\"u}rgen Schmidhuber},
title={Compression Progress-Based Curiosity Drive for Developmental Learning},
booktitle={Proceedings of the 2011 IEEE Conference on Development and Learning and Epigenetic Robotics (IEEE ICDL-EPIROB 2011},
url={http://www.im-clever.eu/publications/publications/pdfs/conferencereference.2012-01-09.1655355920.pdf},
publisher={IEEE},
year={2011}
}
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Author={R. K. Srivastava and B. R. Steunebrink and M. Stollenga and J. Schmidhuber},
Title={Continually Adding Self-Invented Problems to the Repertoire: First Experiments with {\sc PowerPlay}},
booktitle="Proceedings of the 2012 IEEE Conference on Development and Learning and Epigenetic Robotics IEEE-ICDL-EPIROB",
Editor="",
Volume="",
Number="",
Pages="",
Publisher="IEEE",
Year="2012"
}
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Author={G. Cuccu and M. Luciw and J. Schmidhuber and F. Gomez},
Title={Intrinsically Motivated Evolutionary Search for Vision-Based Reinforcement Learning},
booktitle="Proceedings of the 2011 IEEE Conference on Development and Learning and Epigenetic Robotics IEEE-ICDL-EPIROB",
Editor="",
volume={2},
pages={1--7},
Publisher="IEEE",
Year="2011"
}
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author = {J. Masci and
U. Meier and
D. Ciresan and
J. Schmidhuber},
title = {Stacked Convolutional Auto-Encoders for Hierarchical Feature
Extraction},
booktitle = {ICANN (1)},
year = {2011},
pages = {52-59},
ee = {http://dx.doi.org/10.1007/978-3-642-21735-7_7},
crossref = {DBLP:conf/icann/2011-1},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
@proceedings{DBLP:conf/icann/2011-1,
editor = {T. Honkela and
W. Duch and
M. A. Girolami and
S. Kaski},
title = {Artificial Neural Networks and Machine Learning - ICANN
2011 - 21st International Conference on Artificial Neural
Networks, Espoo, Finland, June 14-17, 2011, Proceedings,
Part I},
booktitle = {ICANN (1)},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {6791},
year = {2011},
isbn = {978-3-642-21734-0},
ee = {http://dx.doi.org/10.1007/978-3-642-21735-7},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
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AUTHOR = { A. F{\"o}rster and A. Graves and J. Schmidhuber},
TITLE = {{RNN-based Learning of Compact Maps for Efficient Robot Localization}},
BOOKTITLE = {{15th European Symposium on Artificial Neural Networks, ESANN}},
YEAR = {2007},
MONTH={April},
PAGES = {537-542},
ADDRESS = {Bruges, Belgium},
ISBN={2-930307-07-2}
}
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author = {J. Schmidhuber},
title = {A Formal Theory of Creativity to Model the Creation of Art.},
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editor={J. McCormack and M. d'Inverno},
publisher = {MIT Press},
pages={},
volume={},
year = {2012}}
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TITLE = {Exponential Natural Evolution Strategies},
AUTHOR = {T. Glasmachers and T. Schaul and Y. Sun and D. Wierstra and J. Schmidhuber},
BOOKTITLE = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)},
pages={393--400},
year={2010},
organization={ACM}
}
@INPROCEEDINGS{glasmachers:2010c,
TITLE = {{A Natural Evolution Strategy for Multi-Objective Optimization}},
AUTHOR = {T. Glasmachers and T. Schaul and J. Schmidhuber},
BOOKTITLE = {Parallel Problem Solving from Nature (PPSN) XI},
YEAR = {2010},
}
@INPROCEEDINGS{glasmachers:2010d,
TITLE = {{Universal Consistency of Multi-Class Support Vector Classifiation}},
AUTHOR = {T. Glasmachers},
BOOKTITLE = {Advances in Neural Information Processing Systems (NIPS)},
YEAR = {2010},
}
@inproceedings{Sun2009,
author = {Sun, Yi and Wierstra, D. and Schaul, T. and Schmidhuber, J.},
booktitle = {International Conference on Machine Learning (ICML)},
issue = {1},
keywords = {Evolution Strategies,Natural Gradient,Optimization,Pole-balancing,evolution strategies,natural gradient,stochastic search},
title = {Stochastic Search using the Natural Gradient},
year = {2009}
}
@inproceedings{Sun2009a,
author = {Sun, Yi and Wierstra, D. and Schaul, T. and Schmidhuber, J.},
booktitle = {Proc. 11th Genetic and Evolutionary Computation Conference (GECCO)},
keywords = {Evolution Strategies,Natural Gradient,Optimization,evolution strategies,natural gradient,optimization},
title = {Efficient Natural Evolution Strategies},
pages={539--546},
year = {2009}
}
@article{nes2011arxiv,
title={Natural Evolution Strategies},
author={D. Wierstra and T. Schaul and T. Glasmachers and Yi Sun and J. Schmidhuber},
journal={Under review for Journal of Machine Learning Research},
year={2011}
}
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pages={159--195},
year={2001},
publisher={MIT Press}
}
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Journal = {Evolutionary Computation},
Number = {1},
Pages = {1--18},
Publisher = {MIT Press},
Title = {Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation {(CMA-ES)}},
Volume = {11},
Year = {2003}
}
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author = {Larraanaga, Pedro and Lozano, Jose A.},
title = {Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation},
year = {2001},
isbn = {0792374665},
publisher = {Kluwer Academic Publishers},
address = {Norwell, MA, USA}
}
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author = {K. Sims},
editor = {A. Glassner},
booktitle = {Proceedings of SIGGRAPH '94 (Orlando, Florida, July 1994)},
title = {Evolving Virtual Creatures},
organization = {ACM SIGGRAPH},
publisher = {ACM Press},
pages = {15--22},
month = {jul},
year = {1994},
note = {ISBN 0-89791-667-0},
series = {Computer Graphics Proceedings, Annual Conference}
}
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author = {H. T. Siegelmann and E. D. Sontag},
title = {Turing Computability with Neural Nets},
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@TechReport{lee-learning:96,
author = {Lillian Lee},
title= {Learning of Context-Free Languages: A Survey of the Literature},
institution = {Center for Research in Computing Technology, Harvard University, Cambridge, Massachusetts},
number = {TR-12-96},
year = {1996},
}
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author = {M. Osborne and E. Briscoe},
title = {Learning stochastic categorial grammars},
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address = {Madrid},
pages = {80--87},
year = {1997},
note = {http://citeseer.nj.nec.com/osborne97learning.html},
}
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author = {M. P. Casey},
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pages = {1135--1178},
}
@PhdThesis{siegelmann93foundations,
author = {H.T. Siegelmann},
school = {Rutgers},
address = {New Brunswick Rutgers, The State of New Jersey},
title = {Theoretical Foundations of Recurrent Neural Networks},
year = {1992},
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journal = {Neural Computation},
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number = {5},
year = {1997},
pages = {1127--1142},
}
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YEAR = {2002},
volume = {12},
number = {6},
pages = {447--465},
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year={2000},
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crossref = "ecp-97",
AUTHOR = "J. Koehler and B. Nebel and J. Hoffmann and Y. Dimopoulos",
TITLE = "Extending Planning Graphs to an {ADL} Subset",
PAGES = "273--285"}
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key = "ECP-97",
booktitle = "Proceedings of the 4th European Conference on Planning",
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author = {M. H\"{u}lse and B. Lara and F. Pasemann and U. Steinmetz},
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booktitle= "Lecture Notes on Comp. Sci. 2130,
Proc. Intl. Conf. on Artificial Neural Networks (ICANN-2001)",
editors = "G. Dorffner and H. Bischof and K. Hornik",
publisher= "Springer: Berlin, Heidelberg",
pages = "957-962",
year = "2001"}
@misc{pasemann04,
author = {M. H\"{u}lse and K. Zahedi and F. Pasemann},
title = "Representing Robot-Environment Interactions
by Dynamical Features of Neuro-Controllers",
booktitle = "Anticipatory Behavior in Adaptive Learning Systems",
publisher="LNAI, Springer",
year = "2004"}
@article{pasemann01,
author = {F. Pasemann and U. Steinmetz and M. H\"{u}lse and B. Lara},
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@inproceedings{rueckstiess2008b,
Author = {T. R{\"u}ckstie{\ss} and M. Felder and J. Schmidhuber},
Booktitle = {European Conference on Machine Learning (ECML) and Principles and Practice of Knowledge Discovery in Databases 2008, Part II, LNAI 5212},
Editor = {W. Daelemans et al.},
Pages = {234--249},
Title = {{State-Dependent Exploration} for Policy Gradient Methods},
Year = {2008}}
@inproceedings{rueckstiess2008a,
Author = {T. R{\"u}ckstie{\ss} and M. Felder and F. Sehnke and J. Schmidhuber},
Booktitle = {1st International Workshop on Cognition for Technical Systems},
Title = {Robot Learning with State-Dependent Exploration},
Year = {2008}}
@inproceedings{sehnke2008a,
Author = {F. Sehnke and T. R{\"u}ckstie{\ss} and J. Schmidhuber},
Booktitle = {1st International Workshop on Cognition for Technical Systems},
Title = {Parametric Policy Gradients for Robotics},
Year = {2008}}
@inproceedings{sehnke2008b,
Author = {F. Sehnke and C. Osendorfer and T. R{\"u}ckstie{\ss} and A. Graves and J. Peters and J. Schmidhuber},
Booktitle = {Proceedings of the International Conference on Artificial Neural Networks ICANN},
Title = {Policy Gradients with Parameter-based Exploration for Control},
Year = {2008}}
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author = "F. Pasemann and U. Steinmetz and U. Dieckman",
title = "Evolving Structure and Function of Neurocontrollers",
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month = "6-9",
publisher = "IEEE Press",
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VOLUME = "21",
YEAR = "1982",
NUMBER = "12",
PAGES = "905--940" }
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AUTHOR = "C.~H. Bennett",
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year = {2004}}
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author = {C.W. Omlin and C. L. Giles},
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pages={1261--1284},
year={2008}
}
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title={A simple {Hebbian/anti-Hebbian} network learns the sparse, independent components of natural images},
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volume={18},
number={2},
pages={415--429},
year={2006}
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@inproceedings{serre2002,
title={On the role of object-specific features for real world object recognition in biological vision},
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pages={387--397},
year={2002}
}
@techreport{serre2004,
title={Realistic modeling of simple and complex cell tuning in the {HMAX} model, and implications for invariant object recognition in cortex},
author={Serre, Thomas and Riesenhuber, Maximilian},
year={2004},
institution={DTIC Document}
}
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author = {H. E. Egeth and S. Yantis},
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author = {J. Schmidhuber and F. Gers and D. Eck},
title = {Learning Nonregular Languages: A Comparison
of Simple Recurrent Networks and {LSTM}},
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VOLUME = "14",
NUMBER = "9",
PAGES = "2039-2041",
year = {2002}}
@InProceedings{ Eck:2001icann,
author = {D. Eck},
title = {A Network of Relaxation Oscillators that Finds Downbeats
in Rhythms},
booktitle = {{Artificial Neural Networks -- ICANN 2001 (Proceedings)}},
editor = {Georg Dorffner},
volume = {},
pages = {1239--1247},
publisher = {Springer},
address = {Berlin},
year = 2001,
ps = {papers/2001_icann.ps.gz},
pdf = {papers/2001_icann.pdf},
source = {OwnPublication}}
@Article{ Eck:2002downbeats,
author = {D. Eck},
title = {Finding Downbeats with a Relaxation Oscillator},
journal = "Psychological Research",
year = {2002},
volume = {66},
number = {1},
pages = {18--25},
ps = {papers/2002_psyres.ps.gz},
pdf = {papers/2002_psyres.pdf}}
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author = {D. Eck},
title = {A Positive-Evidence Model for Rhythmical Beat Induction},
journal = {Journal of New Music Research},
year = {2001},
volume = {30},
number = {2},
pages = {187--200},
ps = {papers/2001_jnmr.ps.gz},
pdf = {papers/2001_jnmr.pdf},
source = {OwnPublication},
abstract =
{The Normalized Positive (NPOS) model is a rule-based model that predicts
downbeat location and pattern complexity in rhythmical patterns. Though
derived from several existing models, the NPOS model is particularly
effective at making correct predictions while at the same time having
low complexity. In this paper, the details of the model are explored
and a comparison is made to existing models. Several datasets are used
to examine the complexity predictions of the model. Special attention
is paid to the model's ability to account for the effects of musical
experience on beat induction.} }
@InProceedings{Eck:02icann,
author = {D. Eck and J. Schmidhuber},
title = {Learning The Long-Term Structure of the Blues},
booktitle = {{Artificial Neural Networks -- ICANN 2002}},
editor = {J. Dorronsoro},
pages = {284--289},
publisher = {Springer},
address = {Berlin},
year = 2002,
}
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author = "K. Zuse",
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publisher ="Friedrich Vieweg \& Sohn",
address = "Braunschweig",
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MIT Technical Translation AZT-70-164-GEMIT,
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% these two are the same, different keys (Jan)
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author = "M. Hutter",
title = "Self-Optimizing and {P}areto-Optimal Policies in
General Environments based on {B}ayes-Mixtures",
series = "Lecture Notes in Artificial Intelligence",
editor = "J. Kivinen and R. H. Sloan",
pages = "364--379",
address = "Sydney, Australia",
booktitle = "Proceedings of the 15th Annual Conference
on Computational Learning Theory (COLT 2002)",
publisher = "Springer",
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-04-02.ps.gz",
year = "2002",
}
@InProceedings{Hutter:02selfopt+,
author = "M. Hutter",
title = "Self-Optimizing and {P}areto-Optimal Policies in
General Environments based on {B}ayes-Mixtures",
series = "Lecture Notes in Artificial Intelligence",
editor = "J. Kivinen and R. H. Sloan",
pages = "364--379",
address = "Sydney, Australia",
booktitle = "Proceedings of the 15th Annual Conference
on Computational Learning Theory (COLT 2002)",
publisher = "Springer",
note = "(On J. Schmidhuber's SNF grant 20-61847)",
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-04-02.ps.gz",
year = "2002",
}
@Article{Hutter:01fast,
author = "M. Hutter",
title = "The Fastest and Shortest Algorithm for All Well-Defined
Problems",
journal = "International Journal of Foundations of Computer Science",
publisher = "World Scientific",
volume = "13",
number = "3",
pages = "431--443",
year = {2002},
ftp= "ftp://ftp.idsia.ch/pub/techrep/IDSIA-16-00.ps.gz",
url = "http://arxiv.org/abs/cs.CC/0102018",
}
@Article{Hutter:01fast+,
author = "M. Hutter",
title = "The Fastest and Shortest Algorithm for All Well-Defined
Problems",
journal = "International Journal of Foundations of Computer Science",
publisher = "World Scientific",
volume = "13",
number = "3",
pages = "431--443",
year = {2002},
note = "(On J. Schmidhuber's SNF grant 20-61847)",
ftp= "ftp://ftp.idsia.ch/pub/techrep/IDSIA-16-00.ps.gz",
url = "http://arxiv.org/abs/cs.CC/0102018",
}
@Article{Hutter:01aixi+,
author = "M. Hutter",
institution = "IDSIA",
title = "Towards a Universal Theory of Artificial Intelligence based on
Algorithmic Probability and Sequential Decisions",
year = "2001",
pages = "226--238",
address = "Manno(Lugano), CH",
journal = "Proceedings of the 12$^{th}$ European Conference on Machine
Learning (ECML-2001)",
editor = "L. De Raedt and P. Flach",
publisher = "Springer",
series = "Lecture Notes in Artificial Intelligence (LNAI 2167)",
note = "(On J. Schmidhuber's SNF grant 20-61847)",
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-14-00.ps.gz",
url = "http://arxiv.org/abs/cs.AI/0012011",
}
@Article{Hutter:01aixi,
author = "M. Hutter",
number = "TR IDSIA-14-00, cs.AI/0012011",
institution = "IDSIA",
title = "Towards a Universal Theory of Artificial Intelligence based on
Algorithmic Probability and Sequential Decisions",
year = "2001",
pages = "226--238",
address = "Manno(Lugano), CH",
journal = "Proceedings of the 12$^{th}$ European Conference on Machine
Learning (ECML-2001)",
editor = "L. De Raedt and P. Flach",
publisher = "Springer",
series = "Lecture Notes in Artificial Intelligence (LNAI 2167)",
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-14-00.ps.gz",
url = "http://arxiv.org/abs/cs.AI/0012011",
}
@Article{Hutter:01alpha,
author = "M. Hutter",
number = "TR IDSIA-07-01, cs.AI/0103015",
institution = "IDSIA",
title = "Convergence and Error bounds of Universal Prediction for
General Alphabet",
journal = "Proceedings of the 12th European Conference on Machine
Learning (ECML-2001)",
year = "2001",
address = "Manno(Lugano), CH",
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-07-01.ps.gz",
url = "http://arxiv.org/abs/cs.LG/0106036",
}
@Article{Hutter:01alpha+,
author = "M. Hutter",
number = "TR IDSIA-07-01, cs.AI/0103015",
institution = "IDSIA",
title = "Convergence and Error bounds of Universal Prediction for
General Alphabet",
journal = "Proceedings of the 12th European Conference on Machine
Learning (ECML-2001)",
year = "2001",
address = "Manno(Lugano), CH",
note = "(On J. Schmidhuber's SNF grant 20-61847)",
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-07-01.ps.gz",
url = "http://arxiv.org/abs/cs.LG/0106036",
}
@Article{Kwee:01market,
author = "I. Kwee and M. Hutter and J. Schmidhuber",
title = "Market-Based Reinforcement Learning in Partially Observable
Worlds",
number = "IDSIA-10-01, cs.AI/0105025",
institution = "IDSIA",
address = "Manno(Lugano), CH",
journal = "Proceedings of the International Conference on Artificial
Neural Networks (ICANN-2001)",
year = "2001",
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-10-01.ps.gz",
url = "http://arxiv.org/abs/cs.AI/0105025",
}
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author = "M. Hutter",
number = "TR IDSIA-16-00-v1, cs.CC/0102018",
institution = "IDSIA",
title = "An effective Procedure for Speeding up Algorithms",
address = "Manno(Lugano), CH",
note = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-16-00-v1.ps.gz",
year = {2000}}
@inproceedings{Hutter:01loss+,
author = "M. Hutter",
title = "General Loss Bounds for Universal Sequence Prediction",
booktitle = "Proceedings of the $18^{th}$ International Conference on
Machine Learning (ICML-2001)",
editor = "C. E. Brodley and A. P. Danyluk",
publisher = "Morgan Kaufmann",
pages = "210--217",
note = "(On J. Schmidhuber's SNF grant 20-61847)",
year = {2001},
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-03-01.ps.gz",
url = "http://arxiv.org/abs/cs.AI/0101019",
}
@inproceedings{Hutter:01loss,
author = "M. Hutter",
title = "General Loss Bounds for Universal Sequence Prediction",
note = "TR IDSIA-03-01, IDSIA, Switzerland, Jan 2001, cs.AI/0101019",
booktitle = "Proceedings of the $18^{th}$ International Conference on
Machine Learning (ICML-2001)",
editor = "C. E. Brodley and A. P. Danyluk",
publisher = "Morgan Kaufmann",
pages = "210--217",
year = {2001},
ftp = "ftp://ftp.idsia.ch/pub/techrep/IDSIA-03-01.ps.gz",
url = "http://arxiv.org/abs/cs.AI/0101019",
}
@TechReport{Hutter:00f,
author = "M. Hutter",
number = "IDSIA-14-00 (cs.AI/0004001)",
institution = "IDSIA",
title = "A Theory of Universal Artificial Intelligence based on Algorithmic Complexity",
note = "http://xxx.lanl.gov/abs/cs.AI/0004001",
address = "Manno (Lugano), CH",
year = "2000"
}
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author = "M. Hutter",
institution = "Istituto Dalle Molle di Studi sull'Intelligenza Artificiale",
title = "Optimality of Universal Prediction for General Loss and Alphabet",
year = "2002",
keywords = "Induction; Solomonoff, Bayesian, deterministic prediction;
Kolmogorov complexity; leaning; Loss function;
algorithmic information theory; universal probability",
address = "Manno (Lugano), CH",
}
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url = "http://arxiv.org/abs/cs.AI/9912008",
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title = {LOCOCODE versus {PCA} and {ICA}},
booktitle = {Proceedings of the International Conference on
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author = {P. Pajunen},
title = {Blind Source Separation Using Algorithmic Information Theory},
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editor = {C. Fyfe},
publisher= {ICSC Academic Press},
place = {Canada / Switzerland},
pages = {26-31},
year = {1998}}
@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}}
@techreport{Hochreiter:98lococodeold,
author = {S. Hochreiter and J. Schmidhuber},
title = {Feature extraction through {LOCOCODE}},
institution = {Fakult\"{a}t f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-222-97 (revised version)},
note = {Submitted to {\em Neural Computation}. 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}}
@techreport{Hochreiter:98lococodesimple,
author = {S. Hochreiter and J. Schmidhuber},
title = {Feature extraction through {LOCOCODE}},
institution = {Fakult\"{a}t f\"{u}r Informatik,
Technische Universit\"{a}t M\"{u}nchen},
number = {FKI-222-97 (revised version)},
note = {Submitted to {\em Neural Computation}},
year = {1998}}
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publisher={MIT Press},
year = {1998}}
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editor={M. I. Jordan and M. J. Kearns and S. A. Solla},
publisher={},
pages = {},
note = {To appear},
year = {1998}}
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pages={815--821},
year = {1998}}
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author={S. Lange and M. Riedmiller},
booktitle={Neural Networks (IJCNN), The 2010 International Joint Conference on},
title={Deep auto-encoder neural networks in reinforcement learning},
year={2010},
month={July},
volume={},
number={},
pages={1-8},
doi={10.1109/IJCNN.2010.5596468},
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author={Ranzato, M.A. and F. J. Huang and Boureau, Y.-L. and Y. LeCun},
booktitle={Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on},
title={Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition},
year={2007},
volume={},
number={},
pages={1-8},
keywords={feature extractor;feature-pooling layer;invariant feature hierarchy;multiple convolution filters;object recognition;unsupervised learning;feature extraction;object recognition;unsupervised learning;},
doi={10.1109/CVPR.2007.383157},
ISSN={}
}
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note = {To appear in {\em Lecture Notes in Computer Science}},
year = {1998}}
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author = {Goller, Christoph and Sperduti, Alessandro and Starita, Antonina},
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institution = {Institut f{\"u}r Informatik, Technische Universit{\"a}t M{\"u}nchen},
year = {1994},
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}
}
@conference{gol94,
author = {Goller, Christoph},
title = {A {C}onnectionist {C}ontrol {C}omponent for the {T}heorem {P}rover {SETHEO}},
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author = {Goller, C. and K{\"u}chler, A.},
title = {{Learning Task-Dependent Distributed Representations by Backpropagation Through Structure}},
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year = {1996}
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@inproceedings{schaul2009mdlstm,
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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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Networks,games,recurrent neural networks,scalability},
title = {Scalable Neural Networks for Board Games},
year = {2009}
}
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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 = {Lush Reference Manual},
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author = {LeCun, Y. and Bottou, {L\'{e}on-Yves}},
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crossref = {DANIP:90},
year = {1989}}
@misc{Rohwer:90,
author = {R. Rohwer},
title = {Personal Communication},
year = {1990}}
@article{bobrowski78,
author={L. Bobrowski},
title={Learning processes in multilayer threshold nets},
journal={Biological Cybernetics},
volume = {31},
issue = {1},
pages={1-6},
year = {1978}}
@article{RubnerSchulten:90,
author={J. Rubner and K. Schulten},
title={Development of Feature Detectors by Self-Organization: A Network Model},
journal={Biological Cybernetics},
volume = {62},
pages={193-199},
year = {1990}}
@article{RubnerTavan:89,
author={J. Rubner and P. Tavan},
title={A Self-Organization Network for Principal-Component Analysis},
journal={Europhysics Letters},
volume = {10},
pages={693-698},
year = {1989}}
@incollection{Rumelhart:86,
author={D. E. Rumelhart and G. E. Hinton and R. J. Williams},
title={Learning Internal Representations by Error Propagation},
booktitle = {Parallel Distributed Processing},
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}}
@article{Russell:91,
author={S. Russell and E. Wefald},
title = {Principles of {Metareasoning}},
journal={Artificial Intelligence},
volume={49},
pages={361-395},
year={1991}}
@book{Wefald:91,
author={S. Russell and E. Wefald},
title = {Do the right thing. {Studies} in limited rationality},
publisher = {MIT Press},
year={1991}}
@article{Boddy:94,
author={M. Boddy and T. L. Dean},
title = {Deliberation scheduling for problem solving in
time-constrained environments},
journal={Artificial Intelligence},
volume={67},
pages={245-285},
year={1994}}
@article{Samuel:59,
author = {A. L. Samuel},
title = {Some studies in machine learning using the game of checkers},
journal = {IBM Journal on Research and Development},
volume = {3},
pages={210-229},
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}}
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title={Stability and adaptation in artificial neural systems},
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year = {1989}}
@incollection{SilvaAlmeida:91,
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editor = "Erol Gelenbe",
publisher = "North-Holland",
year = "1991"
}
@inproceedings{Singleton:91,
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publisher={},
year = {1991}}
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pages={},
publisher={London},
year = {1993}}
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volume={1},
year = {1990}}
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note={In preparation},
pages = {},
year = {1993}}
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{
The Theory and Application of Minimal-Length Encoding
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Lehrstuhl Prof. Brauer, Technische Universit\"{a}t M\"{u}nchen}},
year = {1994}}
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year = {1995}}
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@INPROCEEDINGS{09-Gtd,
author = {Richard S. Sutton and Csaba Szepesv{\'a}ri and Hamid R. Maei},
title = {A Convergent {O(n)} Algorithm for Off-policy Temporal-difference Learning
with Linear Function Approximation},
booktitle = {Advances in Neural Information Processing Systems (NIPS'08)},
volume={21},
pages={1609--1616},
year = {2008},
file = {:D\:\\Papers\\08.NIPS.Sutton.A Convergent O(n) Algorithm for Off-policy Temporal-difference Learning with Linear Function Approximation.pdf:PDF}
}
@INPROCEEDINGS{05-IntrisicRL,
author = {Andrew Stout and George Konidaris and Andrew Barto},
title = {Intrinsically Motivated Reinforcement Learning: A Promising Framework
for Developmental Robot Learning},
booktitle = {AAAI Spring Symposium on Developmental Robotics},
year = {2005},
file = {:D\:\\Papers\\05.Intrinsically Motivated Reinforcement Learning - A Promising Framework for Developmental Robot Learning.pdf:PDF}
}
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year = {2005},
address = {Montreal, Canada},
month = {August}
}
@PHDTHESIS{schuster99thesis,
AUTHOR = {M. Schuster},
TITLE = { On supervised learning from sequential data with applications for speech recognition},
SCHOOL = {Nara Institute of Science and Technolog},
YEAR = {1999},
ADDRESS = { Kyoto, Japan}
}
@ARTICLE{fukada99boundary,
AUTHOR = {T. Fukada and M. Schuster and Y. Sagisaka},
TITLE = {Phoneme boundary estimation using bidirectional recurrent neural networks and its applications},
JOURNAL = {Systems and Computers in Japan},
YEAR = {1999},
VOLUME = {30},
number = {4},
PAGES = {20--30},
ee = {http://dx.doi.org/10.1002/(SICI)1520-684X(199904)30:4$<$20::AID-SCJ3$>$3.0.CO;2-E},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
@TECHREPORT{graves05retraining,
AUTHOR = {A. Graves and N. Beringer and J. Schmidhuber},
TITLE = {Rapid Retraining on Speech Data with {LSTM} Recurrent Networks},
INSTITUTION = {IDSIA},
YEAR = {2005},
NUMBER = {IDSIA-09-05}
}
@InProceedings{graves+eck+beringer+schmidhuber:2003,
author = {A. Graves and D. Eck and N. Beringer and J. Schmidhuber},
title = {Isolated Digit Recognition with {LSTM} Recurrent Networks},
booktitle = {First International Workshop on Biologically Inspired Approaches to Advanced Information Technology},
address = {Lausanne},
year = {2003},
source = {OwnPublication},
abstract = {Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. Not only are they more biologically plausible than previous artificial RNNs, they also outperformed them on many artificially generated sequential processing tasks. This encouraged us to apply LSTM to more realistic problems, such as the recognition of spoken digits. Without any modification of the underlying algorithm, we achieved results comparable to state-of-the-art Hidden Markov Model (HMM) based recognisers on both the TIDIGITS and TI46 speech corpora. We conclude that LSTM should be further investigated as a biologically plausible basis for a bottom-up, neural net-based approach to speech recognition.}
}
@InProceedings{ graves+beringer+schmidhuber:2003,
author = {A. Graves and N. Beringer and J. Schmidhuber},
title = {A Comparison Between Spiking and Differentiable Recurrent Neural Networks on Spoken Digit Recognition},
booktitle = {The 23rd IASTED International Conference on modelling, identification, and control},
address = {Grindelwald},
year = {2003},
source = {OwnPublication},
abstract = {In this paper we demonstrate that Long Short-Term Memory (LSTM) is a differentiable recurrent neural net (RNN)
capable of robustly categorizing timewarped speech data. We measure its performance on a spoken digit identification task, where the data was spike-encoded in such a way that classifying the utterances became a difficult challenge in non-linear timewarping. We find that LSTM gives greatly superior results to an SNN found in the
literature, and conclude that the architecture has a place in domains that require the learning of large timewarped datasets, such as automatic speech recognition.}
}
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Training with added noise works about as good.",
notes = "^^",
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@techreport{Gers:99a,
author = { F. A. Gers and J. Schmidhuber and F. Cummins},
title = {Learning to Forget: Continual Prediction with {LSTM}},
institution = {IDSIA, Lugano},
year = {1999},
number = {IDSIA-01-99},
address = {Lugano, CH}
}
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}
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year = 1998
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year = 1998
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institution = {University of Massachusetts},
year = 1998,
number = {98-74},
address = {Amherst, MA 01003}
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note = {To appear}
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pages = {40-46},
year = {1996}
}
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author = {Macready, W. G. and Wolpert, D. H.},
title = {Bandit Problems and the Exploration/Exploitatin Tradeoff},
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year = {1998}
}
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author = {Epstein, J. M.},
title = {Zones of Cooperation in Demographic Prisoner's Dilemma},
journal = {Complexity},
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year = {1996}
}
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author = {Starr, R. M. and Stinchcombe, M. B.},
title = {Exchange in a Network of Trading Posts},
booktitle={Markets, Information and Uncertainty: Essays in Economic Theory
in Honor of {K}enneth {A}rrow},
editor ={Arrow, K. J. and Chichilnisky, G. },
publisher={Cambridge University Press},
pages = {},
year = {1998}
}
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author = {bendor, J. and Swistak, P.},
title = {The Evolutionary Advantage of Conditional Cooperation},
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pages = {15-18},
year = {1996}
}
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author = {Bass, T.},
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year = {1992}
}
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author = {Kauffman, S. A.},
title = {At Home in the Universe: The Search for the Laws of
Self-Organization and Complexity},
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address = {},
year = 1995
}
@inproceedings{knsu98,
author = {Knight, T. F. and Sussman, G. J.},
title = {Cellular Gate Technology},
booktitle = {Proceedings of the First International Conference on
Unconventional Models of Computation},
address = {Auckland, NZ},
month = {January},
year = {1998}
}
@inproceedings{weho98,
author = {Weiss, R. and Homsy, G. and Nagpal, R.},
title = {Programming Biological Cells},
booktitle = {Proceedings of the 8th International Conference on Architectural
Support for Programming Languages and Operating Systems},
address = {San Jose, NZ},
year = {1998}
}
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author = {Abelson, H. and Forbes, N.},
title = {Morphous-COmputing Techniques may lead to intelligent materials},
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pages = {520-522},
year = {1998}
}
@incollection{orsh78,
author = {Oro, J. and Sherwood, E. and Eichberg, J. and Epps, D.},
title = {Formation of Phospholipids under pritive earth conditions and the
role of membranes in prebiological evolution},
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address = {New York},
pages = {1-21},
year = {1978}
}
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author = {Deamer, D. W. and Oro, J.},
title = {The Role of Lipids in Prebiotic Structures},
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year = {1980}
}
@book{epax96,
author = {Epstein, J. M. and Axtell, R.},
title = {Growing Artificial Societies: Social Sciences from the Bottom Up},
publisher = {MIT Press},
address = {Cambridge, MA},
year = 1996
}
@book{ep97,
author = {Epstein, J. M.},
title = {Nonlinear Dynamics, Mathematical Biology, and Social Science},
publisher = {Addison Wesley},
address = {Reading, MA},
year = 1997
}
@book{ma90,
author = {Maes, P.},
title = {Designing Autonomous Agents},
publisher = {MIT Press},
address = {Cambridge, MA},
year = 1990
}
@article{kere98,
author = {Keller, L. and Reeve, H. K.},
title = {Familiarity breeds cooperation},
journal = {Nature},
volume = {394},
pages = {121-122},
year = {1998}
}
@article{nosi98,
author = {Nowak, M. A. and Sigmund, K.},
title = {Evolution of Inderect Reciprocity by Image Scoring},
journal = {Nature},
volume = {393},
pages = {573-577},
year = {1998}
}
@article{chco95,
author = {Christini, D. J. and Collins, J. J.},
title = {Using Noise and Chaos Control to Control Nonchaotic Systems },
journal = {Physical Review E},
volume = {52},
number = {6},
pages = {5806-5809},
year = {1995}
}
@article{lent98,
author = {Lenton, T. M.},
title = {Gaia and Natural Selection},
journal = {Nature},
volume = {394},
pages = {439-447},
year = {1998}
}
@unpublished{galu98,
author = {Gafiychuk, V. V},
title = {Distributed Self--Regulation Induced by Negative Feedbacks in
Ecological and Economic Systems},
note = {pre-print, adap-org/98110011},
month = {November},
year = {1998}
}
@techreport{brei94,
author = {Breiman, L.},
title = {Bagging Predictors},
department = {Statistics Department},
institution = {University of California Berkeley},
number = {421},
year = {1994}
}
@inproceedings{mola98,
author = {Moriarty, D. E. and Langley, P.},
title = {Learning Cooperative Lane Selection Strategies for Highways},
booktitle={Proceedings of the Fifteenth National Conference on Artificial
Intelligence},
address = {Madisson, WI},
pages = {},
year = {1998}
}
@inbook {harding2013cartesian,
title = {Cartesian genetic programming for image processing},
booktitle = {Genetic Programming Theory and Practice X},
year = {2013},
pages = {31{\textendash}44},
publisher = {Springer},
organization = {Springer},
author = {Simon Harding and J{\"u}rgen Leitner and Juergen Schmidhuber}
}
@article {DBLP:journals/corr/abs-1302-1700,
title = {Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks},
journal = {CoRR},
volume = {abs/1302.1700},
year = {2013},
author = {Alessandro Giusti and Dan C. Ciresan and Jonathan Masci and L. M. Gambardella and Juergen Schmidhuber}
}
@article {DBLP:journals/corr/abs-1302-1690,
title = {A Fast Learning Algorithm for Image Segmentation with Max-Pooling Convolutional Networks},
journal = {CoRR},
volume = {abs/1302.1690},
year = {2013},
author = {Jonathan Masci and Alessandro Giusti and Dan C. Ciresan and Gabriel Fricout and Juergen Schmidhuber}
}
@article {DBLP:journals/iacr/RuhrmairSSXMSDSBD13,
title = {PUF Modeling Attacks on Simulated and Silicon Data},
journal = {IACR Cryptology ePrint Archive},
volume = {2013},
year = {2013},
pages = {112},
author = {Ulrich R{\"u}hrmair and Jan S{\"o}lter and Frank Sehnke and Xiaolin Xu and Ahmed Mahmoud and Vera Stoyanova and Gideon Dror and Juergen Schmidhuber and Wayne Burleson and Srinivas Devadas}
}
@article {DBLP:journals/corr/abs-1305-0423,
title = {Testing Hypotheses by Regularized Maximum Mean Discrepancy},
journal = {CoRR},
volume = {abs/1305.0423},
year = {2013},
author = {Somayeh Danafar and Paola M. V. Rancoita and T. Glasmachers and Kevin Whittingstall and Juergen Schmidhuber}
}
@conference {DBLP:conf/icdl-epirob/KompellaLSPS12,
title = {Autonomous learning of abstractions using Curiosity-Driven Modular Incremental Slow Feature Analysis},
booktitle = {ICDL-EPIROB},
year = {2012},
pages = {1-8},
author = {Varun Raj Kompella and Matthew D. Luciw and Marijn Stollenga and Leo Pape and Juergen Schmidhuber}
}
@conference {DBLP:conf/icdl-epirob/LeitnerCHFSFTS12,
title = {Autonomous learning of robust visual object detection and identification on a humanoid},
booktitle = {ICDL-EPIROB},
year = {2012},
pages = {1-6},
author = {J{\"u}rgen Leitner and Pramod Chandrashekhariah and Simon Harding and Mikhail Frank and Gabriele Spina and Alexander F{\"o}rster and Jochen Triesch and Juergen Schmidhuber}
}
@conference {DBLP:conf/icdl-epirob/KazerounianLSRSS12,
title = {Autonomous reinforcement of behavioral sequences in neural dynamics},
booktitle = {ICDL-EPIROB},
year = {2012},
pages = {1-2},
author = {Sohrob Kazerounian and Matthew D. Luciw and Yulia Sandamirskaya and Mathis Richter and Juergen Schmidhuber and Gregor Sch{\"o}ner}
}
@conference {DBLP:conf/gecco/GomezKS12,
title = {Complexity search for compressed neural networks},
booktitle = {GECCO (Companion)},
year = {2012},
pages = {1455-1456},
author = {Faustino Gomez and J. Koutn{\'i}k and Juergen Schmidhuber}
}
@conference {DBLP:conf/ppsn/SrivastavaSG12,
title = {Generalized Compressed Network Search},
booktitle = {PPSN (1)},
year = {2012},
pages = {337-346},
author = {Rupesh Kumar Srivastava and Juergen Schmidhuber and Faustino Gomez}
}
@conference {Srivastava:2012:GCN:2330784.2330902,
title = {Generalized compressed network search},
booktitle = {Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion},
series = {GECCO Companion {\textquoteright}12},
year = {2012},
pages = {647{\textendash}648},
publisher = {ACM},
organization = {ACM},
address = {New York, NY, USA},
keywords = {complexity, indirect encodings, neuroevolution, recurrent neural networks},
isbn = {978-1-4503-1178-6},
doi = {10.1145/2330784.2330902},
url = {http://doi.acm.org/10.1145/2330784.2330902},
author = {Rupesh Kumar Srivastava and Juergen Schmidhuber and Faustino Gomez}
}
@inproceedings{ngo2013IJCAI,
author = {Hung Ngo and Matthew Luciw and Ngo Anh Vien and J\"urgen Scmidhuber},
title = {Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence},
series = {IJCAI'13},
year = {2013},
isbn = {978-1-57735-633-2},
location = {Beijing, China},
pages = {2488--2494},
numpages = {7},
url={http://ijcai.org/papers13/Papers/IJCAI13-366.pdf},
publisher = {AAAI Press}
}
@article{ngo2013Frontiers,
title={Confidence-Based Progress-Driven Self-Generated Goals for Skill Acquisition in Developmental Robots},
author={Hung Ngo and Matthew Luciw and Alexander F{\"o}rster and J{\"u}rgen Schmidhuber},
journal={Frontiers in Psychology},
volume={4},
year={2013},
doi={10.3389/fpsyg.2013.00833},
issn={1664-1078},
publisher={Frontiers Media S.A.}
}
@conference {leitner2012icvision,
title = {icvision: A modular vision system for cognitive robotics research},
booktitle = {International Conference on Cognitive Systems (CogSys)},
year = {2012},
author = {J{\"u}rgen Leitner and Simon Harding and Mikhail Frank and Alexander F{\"o}rster and Juergen Schmidhuber}
}
@conference {DBLP:conf/ro-man/NagiNGGSC12,
title = {Incremental learning using partial feedback for gesture-based human-swarm interaction},
booktitle = {RO-MAN},
year = {2012},
pages = {898-905},
author = {Jawad Nagi and Hung Ngo and Alessandro Giusti and L. M. Gambardella and Juergen Schmidhuber and Gianni A. Di Caro}
}
@article {DBLP:journals/neco/KompellaLS12,
title = {Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams},
journal = {Neural Computation},
volume = {24},
number = {11},
year = {2012},
pages = {2994-3024},
author = {Varun Raj Kompella and Matthew D. Luciw and Juergen Schmidhuber}
}
@conference {DBLP:conf/ijcnn/NgoLFS12,
title = {Learning skills from play: Artificial curiosity on a Katana robot arm},
booktitle = {IJCNN},
year = {2012},
pages = {1-8},
author = {Hung Ngo and Matthew D. Luciw and Alexander F{\"o}rster and Juergen Schmidhuber}
}
@article {leitner2012learn,
title = {Learning Spatial Object Localisation from Vision on a Humanoid Robot},
journal = {International Journal of Advanced Robotics Systems},
year = {2012},
note = {submitted},
author = {J{\"u}rgen Leitner and Simon Harding and Mikhail Frank and Alexander F{\"o}rster and Juergen Schmidhuber}
}
@article {10.3389/fnbot.2012.00006,
title = {Learning tactile skills through curious exploration},
journal = {Frontiers in Neurorobotics},
volume = {6},
number = {6},
year = {2012},
abstract = {We present curiosity-driven, autonomous acquisition of tactile exploratory skills on a biomimetic robot finger equipped with an array of microelectromechanical touch sensors. Instead of building tailored algorithms for solving a specific tactile task, we employ a more general curiosity-driven reinforcement learning approach that autonomously learns a set of motor skills in absence of an explicit teacher signal. In this approach, the acquisition of skills is driven by the information content of the sensory input signals relative to a learner that aims at representing sensory inputs using fewer and fewer computational resources. We show that, from initially random exploration of its environment, the robotic system autonomously develops a small set of basic motor skills that lead to different kinds of tactile input. Next, the system learns how to exploit the learned motor skills to solve supervised texture classification tasks. Our approach demonstrates the feasibility of autonomous acquisition of tactile skills on physical robotic platforms through curiosity-driven reinforcement learning, overcomes typical difficulties of engineered solutions for active tactile exploration and underactuated control, and provides a basis for studying developmental learning through intrinsic motivation in robots.},
issn = {1662-5218},
doi = {10.3389/fnbot.2012.00006},
url = {http://www.frontiersin.org/neurorobotics/10.3389/fnbot.2012.00006/abstract},
author = {Leo Pape and Oddo, Calogero Maria and Controzzi, Marco and Cipriani, Christian and Alexander F{\"o}rster and Carrozza, Maria Chiara and Juergen Schmidhuber}
}
@inbook {luciw2012low,
title = {Low complexity proto-value function learning from sensory observations with incremental slow feature analysis},
booktitle = {Artificial Neural Networks and Machine Learning{\textendash}ICANN 2012},
year = {2012},
pages = {279{\textendash}287},
publisher = {Springer},
organization = {Springer},
author = {Luciw, Matthew and Juergen Schmidhuber}
}
@conference {leitner2012mars,
title = {Mars terrain image classification using cartesian genetic programming},
booktitle = {11th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS), Turin, Italy},
year = {2012},
author = {J{\"u}rgen Leitner and Simon Harding and Alexander F{\"o}rster and Juergen Schmidhuber}
}
@conference {frank2012modular,
title = {The modular behavioral environment for humanoids and other robots (mobee)},
booktitle = {9th International Conference on Informatics in Control, Automation and Robotics (ICINCO)},
year = {2012},
author = {Mikhail Frank and J{\"u}rgen Leitner and Marijn Stollenga and Kaufmann, Gregor and Simon Harding and Alexander F{\"o}rster and Juergen Schmidhuber}
}
@conference {DBLP:conf/agi/GisslenRLS12,
title = {Modular Value Iteration through Regional Decomposition},
booktitle = {AGI},
year = {2012},
pages = {69-78},
author = {Linus Gissl{\'e}n and Mark B. Ring and Matthew D. Luciw and Juergen Schmidhuber}
}
@conference {DBLP:conf/gecco/HardingGLS12,
title = {MT-CGP: mixed type cartesian genetic programming},
booktitle = {GECCO},
year = {2012},
pages = {751-758},
author = {Simon Harding and Vincent Graziano and J{\"u}rgen Leitner and Juergen Schmidhuber}
}
@inbook {schmidhuber2012new,
title = {New Millennium AI and the Convergence of History: Update of 2012},
booktitle = {Singularity Hypotheses},
year = {2012},
pages = {61{\textendash}82},
publisher = {Springer},
organization = {Springer},
author = {Juergen Schmidhuber}
}
@conference {DBLP:conf/icml/SunGS12,
title = {On the Size of the Online Kernel Sparsification Dictionary},
booktitle = {ICML},
year = {2012},
author = {Yi Sun and Faustino Gomez and Juergen Schmidhuber}
}
@inbook {steunebrink2012towards,
title = {Towards an Actual G{\"o}del Machine Implementation: a Lesson in Self-Reflective Systems},
booktitle = {Theoretical Foundations of Artificial General Intelligence},
year = {2012},
pages = {173{\textendash}195},
publisher = {Springer},
organization = {Springer},
author = {Steunebrink, Bas R and Juergen Schmidhuber}
}
@conference {DBLP:conf/ijcnn/CiresanMS12,
title = {Transfer learning for {Latin and Chinese} characters with Deep Neural Networks},
booktitle = {Proc. IJCNN},
year = {2012},
pages = {1-6},
author = {Dan C. Ciresan and U. Meier and Juergen Schmidhuber}
}
@conference {DBLP:conf/iros/LeitnerHFFS12,
title = {Transferring spatial perception between robots operating in a shared workspace},
booktitle = {IROS},
year = {2012},
pages = {1507-1512},
author = {J{\"u}rgen Leitner and Simon Harding and Mikhail Frank and Alexander F{\"o}rster and Juergen Schmidhuber}
}
@article {Schmidhuber:2012:TC,
title = {{Turing} in Context},
volume = {336},
number = {6089},
year = {2012},
pages = {1638{\textendash}1639},
issn = {0036-8075 (print), 1095-9203 (electronic)},
doi = {http://dx.doi.org/10.1126/science.336.6089.1638-c},
url = {http://www.sciencemag.org/content/336/6089/1638.3.full.pdf},
author = {Juergen Schmidhuber}
}
@article {Schmidhuber:2012:TKH,
title = {{Turing}: Keep his work in perspective},
volume = {483},
number = {7391},
year = {2012},
pages = {541{\textendash}541},
issn = {0028-0836 (print), 1476-4687 (electronic)},
doi = {http://dx.doi.org/10.1038/483541b},
url = {http://www.nature.com/nature/journal/v483/n7391/full/483541b.html},
author = {Juergen Schmidhuber}
}
@techreport{graziano2011tl,
author ={V. Graziano and M. Ring and F. Gomez and J. Schmidhuber},
title ={T-Learning},
number={IDSIA-04-11},
year={2011},
institution ={IDSIA},
}
@article {Graziano2011acta,
title = {{Artificial Curiosity for Autonomous Space Exploration}},
journal = {Acta Futura},
volume = {1},
number = {4},
year = {2011},
pages = {41{\textendash}51},
author = {Vincent Graziano and T. Glasmachers and Tom Schaul and Leo Pape and Cuccu, Giuseppe and J{\"u}rgen Leitner and Juergen Schmidhuber}
}
@article{togelius2009ontophylo,
author = {Togelius, Julian and Schaul, Tom and Wierstra, Daan and Igel, Christian and Gomez, Faustino and Schmidhuber, J\"{u}rgen},
file = {:C$\backslash$:/Users/Tom/Documents/IDSIA/ki2009-03\_page30-33\_korrektur.pdf:pdf},
journal = {Zeitschrift K\"{u}nstliche Intelligenz - Special Issue on Reinforcement Learning},
keywords = {RL},
mendeley-tags = {RL},
issue = {3},
pages = {30--33},
title = {{Ontogenetic and Phylogenetic Reinforcement Learning}},
year = {2009}
}
@conference {DBLP:conf/humanoids/KompellaPMFS11,
title = {AutoIncSFA and vision-based developmental learning for humanoid robots},
booktitle = {Humanoids},
year = {2011},
pages = {622-629},
author = {Varun Raj Kompella and Leo Pape and Jonathan Masci and Mikhail Frank and Juergen Schmidhuber}
}
@booklet {Schmidhuber_2011,
title = {Citation bubble about to burst?},
journal = {Nature},
number = {7328},
year = {2011},
pages = {34{\~n}34},
doi = {10.1038/469034b},
url = {http://www.nature.com/nature/journal/v469/n7328/full/469034b.html},
author = {Juergen Schmidhuber}
}
@conference {DBLP:conf/cec/SchaulSWGS11,
title = {Curiosity-driven optimization},
booktitle = {IEEE Congress on Evolutionary Computation},
year = {2011},
pages = {1343-1349},
author = {Tom Schaul and Yi Sun and Daan Wierstra and Faustino Gomez and Juergen Schmidhuber}
}
@conference {DBLP:conf/agi/SteunebrinkS11,
title = {A Family of {G}{\"o}del Machine Implementations},
booktitle = {AGI},
year = {2011},
pages = {275-280},
author = {Bas R. Steunebrink and Juergen Schmidhuber}
}
@booklet {koutnik:techreport2011,
title = {Fourier Networks},
number = {IDSIA-02-11},
year = {2011},
note = {Submitted},
publisher = {IDSIA},
author = {J. Koutn\'{i}k and Faustino Gomez and Juergen Schmidhuber}
}
@article {koutnik:evco2011,
title = {Frequency Domain Encoding for Neuroevolution},
journal = {Evolutionary Computation},
year = {2011},
note = {Submitted},
publisher = {MIT Press},
author = {J. Koutn{\'i}k and Faustino Gomez and Juergen Schmidhuber}
}
@conference {DBLP:conf/icml/SunGRS11,
title = {Incremental Basis Construction from Temporal Difference Error},
booktitle = {ICML},
year = {2011},
pages = {481-488},
author = {Yi Sun and Faustino Gomez and Mark B. Ring and Juergen Schmidhuber}
}
@conference {DBLP:conf/icsipa/NagiDCCMGNSG11,
title = {Max-pooling convolutional neural networks for vision-based hand gesture recognition},
booktitle = {ICSIPA},
year = {2011},
pages = {342-347},
author = {Jawad Nagi and Frederick Ducatelle and Gianni A. Di Caro and Dan C. Ciresan and U. Meier and Alessandro Giusti and Farrukh Nagi and Juergen Schmidhuber and L. M. Gambardella}
}
@conference {DBLP:conf/ijcnn/PapeGRS11,
title = {Modular deep belief networks that do not forget},
booktitle = {IJCNN},
year = {2011},
pages = {1191-1198},
author = {Leo Pape and Faustino Gomez and Juergen Ring and Juergen Schmidhuber}
}
@article {DBLP:journals/corr/abs-1112-5309,
title = {POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem},
journal = {CoRR},
volume = {abs/1112.5309},
year = {2011},
author = {Juergen Schmidhuber}
}
@conference {DBLP:conf/pkdd/DanafarGS10,
title = {Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition},
booktitle = {ECML/PKDD (1)},
year = {2010},
pages = {264-279},
author = {Somayeh Danafar and Arthur Gretton and Juergen Schmidhuber}
}
@article {DBLP:journals/tamd/Schmidhuber10,
title = {Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990-2010)},
journal = {IEEE T. Autonomous Mental Development},
volume = {2},
number = {3},
year = {2010},
pages = {230-247},
keywords = {active learning, aesthetics, cognition, creativity, data compression, event sequences, fun, intrinsic motivation, intrinsic reward},
issn = {1943-0604},
doi = {10.1109/TAMD.2010.2056368},
author = {Juergen Schmidhuber}
}
@conference {DBLP:conf/nips/SunGS10,
title = {Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices},
booktitle = {NIPS},
year = {2010},
pages = {2235-2243},
author = {Yi Sun and Faustino Gomez and Juergen Schmidhuber}
}
@article {DBLP:journals/iacr/RuhrmairSSDDS10,
title = {Modeling Attacks on Physical Unclonable Functions},
journal = {IACR Cryptology ePrint Archive},
volume = {2010},
year = {2010},
pages = {251},
author = {Ulrich R{\"u}hrmair and Frank Sehnke and Jan S{\"o}lter and Gideon Dror and Srinivas Devadas and Juergen Schmidhuber}
}
@article {DBLP:journals/ejasp/DanafarGS10,
title = {Novel Kernel-Based Recognizers of Human Actions},
journal = {EURASIP J. Adv. Sig. Proc.},
volume = {2010},
year = {2010},
author = {Somayeh Danafar and Alessandro Giusti and Juergen Schmidhuber}
}
@conference {DBLP:conf/icann/UnkelbachSS09,
title = {An EM Based Training Algorithm for Recurrent Neural Networks},
booktitle = {ICANN (1)},
year = {2009},
pages = {964-974},
author = {Jan Unkelbach and Yi Sun and Juergen Schmidhuber}
}
@conference {DBLP:conf/icann/BayerWTS09,
title = {Evolving Memory Cell Structures for Sequence Learning},
booktitle = {Proc. ICANN (2)},
year = {2009},
pages = {755-764},
author = {Justin Bayer and Daan Wierstra and Julian Togelius and Juergen Schmidhuber}
}
@article {togelius2009ontogenetic,
title = {Ontogenetic and phylogenetic reinforcement learning},
journal = {K{\"u}nstliche Intelligenz},
volume = {23},
number = {3},
year = {2009},
pages = {30{\textendash}33},
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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}
}
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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}
}
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author = {Kaburlasos, Vassilis G and Athanasiadis, Ioannis N and Mitkas, Pericles A},
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title = {{Fuzzy Lattice Reasoning (FLR) classifier and its application for ambient ozone estimation}},
volume = {45},
year = {2007}
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address = {Porto, Portugal},
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volume = {4669},
year = {2007}
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number = {7},
year = {2009},
pages = {1029-1032},
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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}
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address = {St. Petersburg, Russia},
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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}
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author = {Ryabko, B and Ryabko, D},
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year = {2007}
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author = {Ryabko, D and Hutter, Marcus},
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year = {2008}
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year = {2008}
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@misc{Schaul2005,
address = {Lausanne},
author = {Schaul, Tom},
file = {:C$\backslash$:/Users/Tom/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Schaul - 2005 - Evolving a compact, concept-based Sokoban solver.pdf:pdf},
keywords = {Genetic Programming,Sokoban},
mendeley-tags = {Genetic Programming,Sokoban},
publisher = {EPFL},
title = {{Evolving a compact, concept-based Sokoban solver}},
year = {2005}
}
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address = {Lausanne},
author = {Schaul, Tom},
file = {:C$\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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title = {Multi-dimensional Recurrent Neural Networks},
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year = "2003"}
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PAGES = {11-18},
YEAR = {2002},
EDITOR = {W. Langdon et al.},
PUBLISHER = {Morgan Kaufmann Publishers},
URL = {papers/gecco2002.pdf}
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number = {3},
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publisher = {Kluwer Academic Publishers},
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number={TR-2002-36},
institution ={\"{O}sterreichisches Forschungsinstitut f\"{u}r Artificial Intelligence, Wien},
year = {2002}}
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number = 3,
year = 2003,
pages = {251-277}
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year = "1999",
}
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title = "Neutrality and Self-Adaptation",
journal = "Natural Computing",
year = "2003",
volume = "2",
number = "2",
URL = "http://ipsapp009.kluweronline.com/content/getfile/5030/5/1/abstract.htm",
doi = "doi:10.1023/A:1024906105255",
pages = "117--132",
keywords = "evolutionary computation, genotype-phenotype mapping,
neutrality, No-Free-Lunch theorem, redundancy,
self-adaptation, genetic programming",
abstract = "Neutral genotype-phenotype mappings can be observed in
natural evolution and are often used in evolutionary
computation. In this article, important aspects of such
encodings are analysed. First, it is shown that in the
absence of external control neutrality allows a
variation of the search distribution independent of
phenotypic changes. In particular, neutrality is
necessary for self-adaptation, which is used in a
variety of algorithms from all main paradigms of
evolutionary computation to increase efficiency.
Second, the average number of fitness evaluations
needed to find a desirable (e.g., optimally adapted)
genotype depending on the number of desirable genotypes
and the cardinality of the genotype space is derived.
It turns out that this number increases only marginally
when neutrality is added to an encoding presuming that
the fraction of desirable genotypes stays constant and
that the number of these genotypes is not too small.",
notes = "Article ID: 5126729",
}
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title = {Introduction to the Special Issue on Meta-Learning},
journal = {Machine Learning},
volume = 54,
number = 3,
year = 2004,
pages = {187-193},
note = {Special Issue: Meta-Learning}
}
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title = "Computational Tradeoffs under Bounded Resources
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journal = "Artificial Intelligence",
year = "2001",
volume = "126",
number = "1--2",
pages = "1--4",
topic = "resource-bounded-reasoning;",
note= "Special Issue"
}
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number = "1--2",
pages = "43--62",
topic = "search;AI-algorithms;anytime-algorithms;"
}
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booktitle = "Proceedings of IJCAI-03, 18th International Joint
Conference on Artificial Intelligence",
editor = "Georg Gottlob and Toby Walsh",
publisher = "Morgan Kaufmann",
address = "San Francisco, {US}"}
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year = {2001}}
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Advice Strategies for Model Selection and Method Combination} }
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editor = "Ruzena Bajcsy",
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address = "Chamb{\'e}ry, France",
}
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volume = "126",
number = "1--2",
pages = "139--157",
topic = "anytime-algorithms;metareasoning;",
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@Article{boddy-dean:1994a,
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title = "Deliberation Scheduling for Problem Solving in
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year = "1994",
volume = "67",
number = "2",
pages = "245--285",
abstract = "We are interested in the problem faced by an
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in a complex environment with other agents and
processes not under its control. Careful management of
computational resources is important for complex
problem-solving tasks in which the time spent in
decision making affects the quality of the responses
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outcomes resulting from applying those procedures. Our
approach is called deliberation scheduling.
Deliberation scheduling involves the explicit
allocation of computational resources to
decision-making procedures based on the expected effect
of those allocations on the system's performance.",
topic = "limited-rationality;",
}
@InProceedings{ll-asrl-00,
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@InProceedings{Horvitz:01Bayes,
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@Article{zhang_wx:2001a,
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topic = "search;AI-algorithms;",
}
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pages = "1867",
address = "Orlando, Florida, USA",
publisher_address = "San Francisco, CA 94104, USA",
month = "13-17 " # jul,
publisher = "Morgan Kaufmann",
keywords = "genetic algorithms, genetic programming, methodology,
pedagogy and philosophy, poster paper, lindenmayer
L-systems",
ISBN = "1-55860-611-4",
notes = "GECCO-99 A joint meeting of the eighth international
conference on genetic algorithms (ICGA-99) and the
fourth annual genetic programming conference (GP-99)",
}
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}
@COMMENT{{This file has been generated by bib2bib 1.71}}
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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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AUTHOR = {Young, S.J. and Woodland, P.C},
TITLE = {HTK Version 3.2: User, Reference and Programmer Manual},
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PUBLISHER = {Cambridge University},
LOCATION = {Cambridge}
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ADDRESS = {Rhodes, Greece},
PAGES = {1171--1174},
YEAR = {1997},
URL = {citeseer.ist.psu.edu/363084.html}
}
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YEAR = {1998},
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}
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BOOKTITLE = {Proceedings of the Fourteenth International Congress of Phonetic Sciences},
ADDRESS = {San Francisco},
YEAR = {1999}
}
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pages={1--5},
year={2011},
publisher={Wiley Online Library}
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JOURNAL = "Bioinformatics",
VOLUME = "15",
PAGES = "937-946",
YEAR = 1999
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year={2012},
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title={Deep architectures and deep learning in chemoinformatics: the prediction of aqueous solubility for drug-like molecules},
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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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YEAR = 1987,
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AUTHOR = "P. Baldi",
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YEAR = 1995,
VOLUME = "6",
NUMBER = "1",
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}
@ARTICLE{baldichauvin96,
AUTHOR = "P. Baldi and Y. Chauvin",
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YEAR = 1996,
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NUMBER = "7",
PAGES = "1541-1565",
}
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AUTHOR = "P. Baldi and Y. Chauvin",
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YEAR = 1991,
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NUMBER = "4",
PAGES = "589-603",
}
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AUTHOR = "P. Baldi and K. Hornik",
TITLE = "Learning in Linear Networks: a Survey",
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},
}
@article{baldijmlr12,
title={Autoencoders, Unsupervised Learning, and Deep Architectures},
author={Baldi, P.},
journal={Journal of Machine Learning Research (Proc. 2011 ICML Workshop on Unsupervised and Transfer Learning)},
volume={27},
pages={37-50},
year={2012}
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title={Causal learnability},
author={Michael, Loizos},
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pages={1014--1020},
year={2011},
organization={AAAI Press}
}
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YEAR = {2003},
EDITOR = {D. Chasman},
CHAPTER = {8},
PAGES = {207-249}
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PAGES = {1650--1655},
YEAR = {2003}
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AUTHOR = {{Zheng}, W.},
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JOURNAL = {eprint arXiv:q-bio/0310026},
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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YEAR = {1997},
MONTH = {November},
PAGES = {2673--2681}
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AUTHOR = {J. Godfrey, E. Holliman and J. McDaniel},
TITLE = {Switchboard,: Telephone Speech Corpus for Research and Development},
booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
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YEAR = 1995,
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}
@TECHREPORT{graves04retraining,
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},
TITLE = {An Application of Recurrent Nets to Phone Probability Estimation},
JOURNAL = {IEEE Transactions on Neural Networks},
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NUMBER = {2},
MONTH = {March},
PAGES = {298--305},
YEAR = {1994},
URL = {citeseer.nj.nec.com/robinson94application.html}
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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.}
}
@BOOK{24,
AUTHOR = {N. Chomsky},
TITLE = {{O}m sproket. {P}roblem och perspektiv (orig.tit. Reflections on language)},
PUBLISHER = {Norstedts},
YEAR = {1978}
}
@BOOK{25,
AUTHOR = {N. Chomsky},
TITLE = {Lectures on government and binding},
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YEAR = {1982}
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@BOOK{26,
AUTHOR = {N. Chomsky},
TITLE = {Knowledge of language: its nature, origin and use},
PUBLISHER = {Praeger},
YEAR = {1986}
}
@ARTICLE{18,
AUTHOR = {N. Beringer},
TITLE = {Rule-based categorial analysis of unprompted speech - a cross-language study},
JOURNAL = {Proc. PaPI Conference},
YEAR = {2003}
}
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AUTHOR = {N. Beringer and M. Neff},
TITLE = {Regional pronunciation variants for automatic segmentation},
JOURNAL = {Proc. LREC},
YEAR = {2000}
}
@ARTICLE{2,
AUTHOR = {N. Beringer and F. Schiel},
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Modeling},
JOURNAL = {Proc. ICPhS},
PAGES = {1653-1656},
YEAR = {1999}
}
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AUTHOR = {F. Sanchez-Martinez and J. A. Puerez-Ortiz and M. L. Forcada},
TITLE = {Exploring the use of target-language information to train the part-of-speech tagger of machine translation systems},
JOURNAL = {Proc. EsTAL},
YEAR = {2004}
}
@ARTICLE{POS2,
AUTHOR = {F. Sanchez-Martinez and J. A. Puerez-Ortiz and M. L. Forcada},
TITLE = {Cooperative unsupervised training of the part-of-speech taggers in a bidirectional machine translation system},
JOURNAL = {Proc. TMI},
YEAR = {2004}
}
@inproceedings{beringer:05ijcnn,
AUTHOR = {N. Beringer and A. Graves and F. Schiel and J. Schmidhuber},
TITLE = {Classifying unprompted speech by retraining {LSTM} Nets},
booktitle = {{Proc. Int. Joint Conf. on Neural Networks IJCNN 2005}},
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%duplicate
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url = "http://arxiv.org/abs/math.ST/0502315",
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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,
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year = "2005",
pages = "1271--1278",
keywords = "Evolutionary algorithm, deletion schemes, fitness evaluation,
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http = "http://www.hutter1.de/ai/fuds.htm",
url = "http://arxiv.org/abs/cs.NE/0504035",
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keywords = "Sequence prediction; Algorithmic Information Theory;
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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}
}
@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}
}
@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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year = {1969}}
@inproceedings{lee2007sparse,
title={Sparse deep belief net model for visual area {V2}},
author={Lee, Honglak and Ekanadham, Chaitanya and Ng, Andrew Y},
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@inproceedings{DBLP:conf/dagm/SchneiderG13,
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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}
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@Article{PascalVOC2010,
author = "Everingham, M. and Van~Gool, L. and Williams, C. K. I. and Winn, J. and Zisserman, A.",
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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},
title = {Pattern Recognition - 35th German Conference, {GCPR} 2013, Saarbr{\"{u}}cken,
Germany, September 3-6, 2013. Proceedings},
series = {Lecture Notes in Computer Science},
year = {2013},
volume = {8142},
publisher = {Springer},
url = {http://dx.doi.org/10.1007/978-3-642-40602-7},
doi = {10.1007/978-3-642-40602-7},
isbn = {978-3-642-40601-0},
timestamp = {Wed, 01 Oct 2014 11:36:26 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/conf/dagm/2013},
bibsource = {dblp computer science bibliography, http://dblp.org}
}
@article{DBLP:journals/corr/Krizhevsky14,
author = {Alex Krizhevsky},
title = {One weird trick for parallelizing convolutional neural networks},
journal = {CoRR},
year = {2014},
volume = {abs/1404.5997},
url = {http://arxiv.org/abs/1404.5997},
timestamp = {Wed, 01 Oct 2014 14:02:35 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/Krizhevsky14},
bibsource = {dblp computer science bibliography, http://dblp.org}
}
@article{DBLP:journals/corr/PaineJYLH13,
author = {Thomas Paine and
Hailin Jin and
Jianchao Yang and
Zhe Lin and
Thomas S. Huang},
title = {{GPU} Asynchronous Stochastic Gradient Descent to Speed Up Neural
Network Training},
journal = {CoRR},
year = {2013},
volume = {abs/1312.6186},
url = {http://arxiv.org/abs/1312.6186},
timestamp = {Wed, 01 Oct 2014 14:06:07 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/PaineJYLH13},
bibsource = {dblp computer science bibliography, http://dblp.org}
}
@article{DBLP:journals/corr/YadanATR13,
author = {Omry Yadan and
Keith Adams and
Yaniv Taigman and
Marc'Aurelio Ranzato},
title = {Multi-GPU Training of ConvNets},
journal = {CoRR},
year = {2013},
volume = {abs/1312.5853},
url = {http://arxiv.org/abs/1312.5853},
timestamp = {Wed, 01 Oct 2014 14:07:24 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/YadanATR13},
bibsource = {dblp computer science bibliography, http://dblp.org}
}