Jürgen Schmidhuber

Jonathan Masci, Alessandro Giusti, Dan C. Ciresan, Gabriel Fricout, Jürgen Schmidhuber: A Fast Learning Algorithm for Image Segmentation with Max-Pooling Convolutional Networks. CoRR abs/1302.1690 (2013)

Alessandro Giusti, Dan C. Ciresan, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber: Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks. CoRR abs/1302.1700 (2013)

Ulrich Rührmair, Jan Sölter, Frank Sehnke, Xiaolin Xu, Ahmed Mahmoud, Vera Stoyanova, Gideon Dror, Jürgen Schmidhuber, Wayne Burleson, Srinivas Devadas: PUF Modeling Attacks on Simulated and Silicon Data. IACR Cryptology ePrint Archive 2013: 112 (2013)

Somayeh Danafar, Alessandro Giusti, Jürgen Schmidhuber: Correction: novel Kernel-based recognizers of human actions. EURASIP J. Adv. Sig. Proc. 2012: 124 (2012)

Tobias Glasmachers, Jan Koutník, Jürgen Schmidhuber: Kernel representations for evolving continuous functions. Evolutionary Intelligence 5(3): 171-187 (2012)

Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber: Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams. Neural Computation 24(11): 2994-3024 (2012)

Dan C. Ciresan, Ueli Meier, Jonathan Masci, Jürgen Schmidhuber: Multi-column deep neural network for traffic sign classification. Neural Networks 32: 333-338 (2012)

Linus Gisslén, Mark B. Ring, Matthew D. Luciw, Jürgen Schmidhuber: Modular Value Iteration through Regional Decomposition. AGI 2012: 69-78

Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber: An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision). BICA 2012: 205-210

Dan C. Ciresan, Ueli Meier, Jürgen Schmidhuber: Multi-column deep neural networks for image classification. CVPR 2012: 3642-3649

Rupesh Kumar Srivastava, Jürgen Schmidhuber, Faustino J. Gomez: Generalized compressed network search. GECCO (Companion) 2012: 647-648

Simon Harding, Vincent Graziano, Jürgen Leitner, Jürgen Schmidhuber: MT-CGP: mixed type cartesian genetic programming. GECCO 2012: 751-758

Faustino J. Gomez, Jan Koutník, Jürgen Schmidhuber: Complexity search for compressed neural networks. GECCO (Companion) 2012: 1455-1456

Mikhail Frank, Alexander Förster, Jürgen Schmidhuber: Reflexive Collision Response with Virtual Skin - Roadmap Planning Meets Reinforcement Learning. ICAART (1) 2012: 642-651

Matthew D. Luciw, Jürgen Schmidhuber: Low Complexity Proto-Value Function Learning from Sensory Observations with Incremental Slow Feature Analysis. ICANN (2) 2012: 279-287

Sohrob Kazerounian, Matthew D. Luciw, Yulia Sandamirskaya, Mathis Richter, Jürgen Schmidhuber, Gregor Schöner: Autonomous reinforcement of behavioral sequences in neural dynamics. ICDL-EPIROB 2012: 1-2

Varun Raj Kompella, Matthew D. Luciw, Marijn Stollenga, Leo Pape, Jürgen Schmidhuber: Autonomous learning of abstractions using Curiosity-Driven Modular Incremental Slow Feature Analysis. ICDL-EPIROB 2012: 1-8

Jürgen Leitner, Pramod Chandrashekhariah, Simon Harding, Mikhail Frank, Gabriele Spina, Alexander Förster, Jochen Triesch, Jürgen Schmidhuber: Autonomous learning of robust visual object detection and identification on a humanoid. ICDL-EPIROB 2012: 1-6

Rupesh Kumar Srivastava, Bas R. Steunebrink, Marijn Stollenga, Jürgen Schmidhuber: Continually adding self-invented problems to the repertoire: First experiments with POWERPLAY. ICDL-EPIROB 2012: 1-6

Mikhail Frank, Jürgen Leitner, Marijn Stollenga, Simon Harding, Alexander Förster, Jürgen Schmidhuber: The Modular Behavioral Environment for Humanoids and other Robots (MoBeE). ICINCO (2) 2012: 304-313

Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber: On the Size of the Online Kernel Sparsification Dictionary. ICML 2012

Dan Claudiu Ciresan, Ueli Meier, Jürgen Schmidhuber: Transfer learning for Latin and Chinese characters with Deep Neural Networks. IJCNN 2012: 1-6

Jonathan Masci, Ueli Meier, Dan C. Ciresan, Jürgen Schmidhuber, Gabriel Fricout: Steel defect classification with Max-Pooling Convolutional Neural Networks. IJCNN 2012: 1-6

Hung Ngo, Matthew D. Luciw, Alexander Förster, Jürgen Schmidhuber: Learning skills from play: Artificial curiosity on a Katana robot arm. IJCNN 2012: 1-8

Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber: Transferring spatial perception between robots operating in a shared workspace. IROS 2012: 1507-1512

Dan C. Ciresan, Alessandro Giusti, Luca Maria Gambardella, Jürgen Schmidhuber: Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images. NIPS 2012: 2852-2860

Faustino J. Gomez, Jan Koutník, Jürgen Schmidhuber: Compressed Network Complexity Search. PPSN (1) 2012: 316-326

Rupesh Kumar Srivastava, Jürgen Schmidhuber, Faustino J. Gomez: Generalized Compressed Network Search. PPSN (1) 2012: 337-346

Jawad Nagi, Hung Ngo, Alessandro Giusti, Luca Maria Gambardella, Jürgen Schmidhuber, Gianni A. Di Caro: Incremental learning using partial feedback for gesture-based human-swarm interaction. RO-MAN 2012: 898-905

Vincent Graziano, Faustino J. Gomez, Mark B. Ring, Jürgen Schmidhuber: T-Learning. CoRR abs/1201.0292 (2012)

Dan C. Ciresan, Ueli Meier, Jürgen Schmidhuber: Multi-column Deep Neural Networks for Image Classification. CoRR abs/1202.2745 (2012)

Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber: On the Size of the Online Kernel Sparsification Dictionary. CoRR abs/1206.4623 (2012)

Jonathan Masci, Michael M. Bronstein, Alexander A. Bronstein, Jürgen Schmidhuber: Multimodal similarity-preserving hashing. CoRR abs/1207.1522 (2012)

Jonathan Masci, Ueli Meier, Gabriel Fricout, Jürgen Schmidhuber: Object Recognition with Multi-Scale Pyramidal Pooling Networks. CoRR abs/1207.1765 (2012)

Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber: Efficient Natural Evolution Strategies. CoRR abs/1209.5853 (2012)

Jürgen Schmidhuber: Self-Delimiting Neural Networks. CoRR abs/1210.0118 (2012)

Rupesh Kumar Srivastava, Bas R. Steunebrink, Jürgen Schmidhuber: First Experiments with PowerPlay. CoRR abs/1210.8385 (2012)

Jonathan Masci, Jesús Angulo, Jürgen Schmidhuber: A Learning Framework for Morphological Operators using Counter-Harmonic Mean. CoRR abs/1212.2546 (2012)

Jan Koutník, Jürgen Schmidhuber, Faustino J. Gomez: A Frequency-Domain Encoding for Neuroevolution. CoRR abs/1212.6521 (2012)

Matteo Gagliolo, Jürgen Schmidhuber: Algorithm portfolio selection as a bandit problem with unbounded losses. Ann. Math. Artif. Intell. 61(2): 49-86 (2011)

Jürgen Schmidhuber: Lifelong Credit Assignment with the Success-Story Algorithm. Lifelong Learning 2011

Tom Schaul, Leo Pape, Tobias Glasmachers, Vincent Graziano, Jürgen Schmidhuber: Coherence Progress: A Measure of Interestingness Based on Fixed Compressors. AGI 2011: 21-30

Linus Gisslén, Matthew D. Luciw, Vincent Graziano, Jürgen Schmidhuber: Sequential Constant Size Compressors for Reinforcement Learning. AGI 2011: 31-40

Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber: Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments. AGI 2011: 41-51

Tobias Glasmachers, Jürgen Schmidhuber: Optimal Direct Policy Search. AGI 2011: 52-61

Jürgen Schmidhuber, Dan C. Ciresan, Ueli Meier, Jonathan Masci, Alex Graves: On Fast Deep Nets for AGI Vision. AGI 2011: 243-246

Bas R. Steunebrink, Jürgen Schmidhuber: A Family of Gödel Machine Implementations. AGI 2011: 275-280

Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber: Curiosity-driven optimization. IEEE Congress on Evolutionary Computation 2011: 1343-1349

Tom Schaul, Tobias Glasmachers, Jürgen Schmidhuber: High dimensions and heavy tails for natural evolution strategies. GECCO 2011: 845-852

Varun Raj Kompella, Leo Pape, Jonathan Masci, Mikhail Frank, Jürgen Schmidhuber: AutoIncSFA and vision-based developmental learning for humanoid robots. Humanoids 2011: 622-629

Jonathan Masci, Ueli Meier, Dan C. Ciresan, Jürgen Schmidhuber: Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction. ICANN (1) 2011: 52-59

Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Jürgen Schmidhuber: Convolutional Neural Network Committees for Handwritten Character Classification. ICDAR 2011: 1135-1139

Ueli Meier, Dan Claudiu Ciresan, Luca Maria Gambardella, Jürgen Schmidhuber: Better Digit Recognition with a Committee of Simple Neural Nets. ICDAR 2011: 1250-1254

Yi Sun, Faustino J. Gomez, Mark B. Ring, Jürgen Schmidhuber: Incremental Basis Construction from Temporal Difference Error. ICML 2011: 481-488

Jawad Nagi, Frederick Ducatelle, Gianni A. Di Caro, Dan C. Ciresan, Ueli Meier, Alessandro Giusti, Farrukh Nagi, Jürgen Schmidhuber, Luca Maria Gambardella: Max-pooling convolutional neural networks for vision-based hand gesture recognition. ICSIPA 2011: 342-347

Dan Claudiu Ciresan, Ueli Meier, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber: Flexible, High Performance Convolutional Neural Networks for Image Classification. IJCAI 2011: 1237-1242

Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber: Incremental Slow Feature Analysis. IJCAI 2011: 1354-1359

Leo Pape, Faustino J. Gomez, Juergen Ring, Jürgen Schmidhuber: Modular deep belief networks that do not forget. IJCNN 2011: 1191-1198

Dan C. Ciresan, Ueli Meier, Jonathan Masci, Jürgen Schmidhuber: A committee of neural networks for traffic sign classification. IJCNN 2011: 1918-1921

Vincent Graziano, Jan Koutník, Jürgen Schmidhuber: Unsupervised Modeling of Partially Observable Environments. ECML/PKDD (1) 2011: 503-515

Jürgen Schmidhuber, Kristinn R. Thórisson, Moshe Looks (Eds.): Artificial General Intelligence - 4th International Conference, AGI 2011, Mountain View, CA, USA, August 3-6, 2011. Proceedings. Lecture Notes in Computer Science 6830, Springer 2011, isbn 978-3-642-22886-5

Dan C. Ciresan, Ueli Meier, Jonathan Masci, Luca Maria Gambardella, Jürgen Schmidhuber: High-Performance Neural Networks for Visual Object Classification. CoRR abs/1102.0183 (2011)

Dan C. Ciresan, Ueli Meier, Luca Maria Gambardella, Jürgen Schmidhuber: Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs. CoRR abs/1103.4487 (2011)

Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber: Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments. CoRR abs/1103.5708 (2011)

Yi Sun, Faustino J. Gomez, Tom Schaul, Jürgen Schmidhuber: A Linear Time Natural Evolution Strategy for Non-Separable Functions. CoRR abs/1106.1998 (2011)

Daan Wierstra, Tom Schaul, Tobias Glasmachers, Yi Sun, Jürgen Schmidhuber: Natural Evolution Strategies. CoRR abs/1106.4487 (2011)

Tom Schaul, Julian Togelius, Jürgen Schmidhuber: Measuring Intelligence through Games. CoRR abs/1109.1314 (2011)

Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber: Incremental Slow Feature Analysis: Adaptive and Episodic Learning from High-Dimensional Input Streams. CoRR abs/1112.2113 (2011)

Jürgen Schmidhuber: POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem. CoRR abs/1112.5309 (2011)

Jonathan Masci, Davide Migliore, Michael M. Bronstein, Jürgen Schmidhuber: Descriptor learning for omnidirectional image matching. CoRR abs/1112.6291 (2011)

Somayeh Danafar, Alessandro Giusti, Jürgen Schmidhuber: Novel Kernel-Based Recognizers of Human Actions. EURASIP J. Adv. Sig. Proc. 2010 (2010)

Daan Wierstra, Alexander Förster, Jan Peters, Jürgen Schmidhuber: Recurrent policy gradients. Logic Journal of the IGPL 18(5): 620-634 (2010)

Tom Schaul, Justin Bayer, Daan Wierstra, Yi Sun, Martin Felder, Frank Sehnke, Thomas Rückstieß, Jürgen Schmidhuber: PyBrain. Journal of Machine Learning Research 11: 743-746 (2010)

Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Jürgen Schmidhuber: Deep, Big, Simple Neural Nets for Handwritten Digit Recognition. Neural Computation 22(12): 3207-3220 (2010)

Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber: Parameter-exploring policy gradients. Neural Networks 23(4): 551-559 (2010)

Tom Schaul, Jürgen Schmidhuber: Metalearning. Scholarpedia 5(6): 4650 (2010)

Jürgen Schmidhuber: Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990-2010). IEEE T. Autonomous Mental Development 2(3): 230-247 (2010)

Giorgio Corani, Alessandro Giusti, Davide Migliore, Jürgen Schmidhuber: Robust Texture Recognition Using Credal Classifiers. BMVC 2010: 1-10

Ulrich Rührmair, Frank Sehnke, Jan Sölter, Gideon Dror, Srinivas Devadas, Jürgen Schmidhuber: Modeling attacks on physical unclonable functions. ACM Conference on Computer and Communications Security 2010: 237-249

Tobias Glasmachers, Tom Schaul, Yi Sun, Daan Wierstra, Jürgen Schmidhuber: Exponential natural evolution strategies. GECCO 2010: 393-400

Jan Koutník, Faustino J. Gomez, Jürgen Schmidhuber: Evolving neural networks in compressed weight space. GECCO 2010: 619-626

Mandy Grüttner, Frank Sehnke, Tom Schaul, Jürgen Schmidhuber: Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients. ICANN (2) 2010: 114-123

Frank Sehnke, Christian Osendorfer, Jan Sölter, Jürgen Schmidhuber, Ulrich Rührmair: Policy Gradients for Cryptanalysis. ICANN (3) 2010: 168-177

Frank Sehnke, Alex Graves, Christian Osendorfer, Jürgen Schmidhuber: Multimodal Parameter-exploring Policy Gradients. ICMLA 2010: 113-118

Matteo Gagliolo, Jürgen Schmidhuber: Algorithm Selection as a Bandit Problem with Unbounded Losses. LION 2010: 82-96

Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber: Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices. NIPS 2010: 2235-2243

Jürgen Schmidhuber: Formal Theory of Fun and Creativity. ECML/PKDD (1) 2010: 6

Somayeh Danafar, Arthur Gretton, Jürgen Schmidhuber: Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition. ECML/PKDD (1) 2010: 264-279

Tobias Glasmachers, Tom Schaul, Jürgen Schmidhuber: A Natural Evolution Strategy for Multi-objective Optimization. PPSN (1) 2010: 627-636

Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Jürgen Schmidhuber: Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition. CoRR abs/1003.0358 (2010)

Jürgen Schmidhuber: Evolution of National Nobel Prize Shares in the 20th Century. CoRR abs/1009.2634 (2010)

Ulrich Rührmair, Frank Sehnke, Jan Sölter, Gideon Dror, Srinivas Devadas, Jürgen Schmidhuber: Modeling Attacks on Physical Unclonable Functions. IACR Cryptology ePrint Archive 2010: 251 (2010)

Daniil Ryabko, Jürgen Schmidhuber: Using data compressors to construct order tests for homogeneity and component independence. Appl. Math. Lett. 22(7): 1029-1032 (2009)

Jürgen Schmidhuber: Ultimate Cognition à la Gödel. Cognitive Computation 1(2): 177-193 (2009)

José David Martín-Guerrero, Faustino J. Gomez, Emilio Soria-Olivas, Jürgen Schmidhuber, Mónica Climente-Martí, N. Víctor Jiménez-Torres: A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients. Expert Syst. Appl. 36(6): 9737-9742 (2009)

Alex Graves, Marcus Liwicki, S. Fernandez, Roman Bertolami, Horst Bunke, Jürgen Schmidhuber: A Novel Connectionist System for Unconstrained Handwriting Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 31(5): 855-868 (2009)

Niels van Hoorn, Julian Togelius, Daan Wierstra, Jürgen Schmidhuber: Robust player imitation using multiobjective evolution. IEEE Congress on Evolutionary Computation 2009: 652-659

Julian Togelius, Sergey Karakovskiy, Jan Koutník, Jürgen Schmidhuber: Super mario evolution. CIG 2009: 156-161

Niels van Hoorn, Julian Togelius, Jürgen Schmidhuber: Hierarchical controller learning in a First-Person Shooter. CIG 2009: 294-301

Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber: Efficient natural evolution strategies. GECCO 2009: 539-546

Justin Bayer, Daan Wierstra, Julian Togelius, Jürgen Schmidhuber: Evolving Memory Cell Structures for Sequence Learning. ICANN (2) 2009: 755-764

Faustino J. Gomez, Julian Togelius, Jürgen Schmidhuber: Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning. ICANN (2) 2009: 765-774

Jan Unkelbach, Yi Sun, Jürgen Schmidhuber: An EM Based Training Algorithm for Recurrent Neural Networks. ICANN (1) 2009: 964-974

Tom Schaul, Jürgen Schmidhuber: Scalable Neural Networks for Board Games. ICANN (1) 2009: 1005-1014

Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber: Stochastic search using the natural gradient. ICML 2009: 146

György Csaba, Xueming Ju, Qingqing Chen, Wolfgang Porod, Jürgen Schmidhuber, Ulf Schlichtmann, Paolo Lugli, Ulrich Rührmair: On-Chip Electric Waves: An Analog Circuit Approach to Physical Uncloneable Functions. IACR Cryptology ePrint Archive 2009: 246 (2009)

Hermann Georg Mayer, Faustino J. Gomez, Daan Wierstra, Istvan Nagy, Alois Knoll, Jürgen Schmidhuber: A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks. Advanced Robotics 22(13-14): 1521-1537 (2008)

Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen: Accelerated Neural Evolution through Cooperatively Coevolved Synapses. Journal of Machine Learning Research 9: 937-965 (2008)

Jürgen Schmidhuber: Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes. ABiALS 2008: 48-76

Julian Togelius, Faustino J. Gomez, Jürgen Schmidhuber: Learning what to ignore: Memetic climbing in topology and weight space. IEEE Congress on Evolutionary Computation 2008: 3274-3281

Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber: Natural Evolution Strategies. IEEE Congress on Evolutionary Computation 2008: 3381-3387

Julian Togelius, Jürgen Schmidhuber: An experiment in automatic game design. CIG 2008: 111-118

Alexandros Agapitos, Julian Togelius, Simon M. Lucas, Jürgen Schmidhuber, Andreas Konstantinidis: Generating diverse opponents with multiobjective evolution. CIG 2008: 135-142

Tom Schaul, Jürgen Schmidhuber: A scalable neural network architecture for board games. CIG 2008: 357-364

Matteo Gagliolo, Jürgen Schmidhuber: Towards Distributed Algorithm Portfolios. DCAI 2008: 634-643

Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber: Policy Gradients with Parameter-Based Exploration for Control. ICANN (1) 2008: 387-396

Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber: Episodic Reinforcement Learning by Logistic Reward-Weighted Regression. ICANN (1) 2008: 407-416

Jürgen Schmidhuber: Driven by Compression Progress. KES (1) 2008: 11

Alex Graves, Jürgen Schmidhuber: Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks. NIPS 2008: 545-552

Thomas Rückstieß, Martin Felder, Jürgen Schmidhuber: State-Dependent Exploration for Policy Gradient Methods. ECML/PKDD (2) 2008: 234-249

Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber: Fitness Expectation Maximization. PPSN 2008: 337-346

Julian Togelius, Tom Schaul, Jürgen Schmidhuber, Faustino J. Gomez: Countering Poisonous Inputs with Memetic Neuroevolution. PPSN 2008: 610-619

Santiago Fernández, Alex Graves, Jürgen Schmidhuber: Phoneme recognition in TIMIT with BLSTM-CTC. CoRR abs/0804.3269 (2008)

Matteo Gagliolo, Jürgen Schmidhuber: Algorithm Selection as a Bandit Problem with Unbounded Losses. CoRR abs/0807.1494 (2008)

Jürgen Schmidhuber: Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes. CoRR abs/0812.4360 (2008)

Alexey V. Chernov, Marcus Hutter, Jürgen Schmidhuber: Algorithmic complexity bounds on future prediction errors. Inf. Comput. 205(2): 242-261 (2007)

Jürgen Schmidhuber, Daan Wierstra, Matteo Gagliolo, Faustino J. Gomez: Training Recurrent Networks by Evolino. Neural Computation 19(3): 757-779 (2007)

Jürgen Schmidhuber: Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity and Creativity. ALT 2007: 32-33

Jürgen Schmidhuber: Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity. Discovery Science 2007: 26-38

Daan Wierstra, Jürgen Schmidhuber: Policy Gradient Critics. ECML 2007: 466-477

Alexander Förster, Alex Graves, Jürgen Schmidhuber: RNN-based Learning of Compact Maps for Efficient Robot Localization. ESANN 2007: 537-542

Santiago Fernández, Alex Graves, Jürgen Schmidhuber: An Application of Recurrent Neural Networks to Discriminative Keyword Spotting. ICANN (2) 2007: 220-229

Alex Graves, Santiago Fernández, Jürgen Schmidhuber: Multi-dimensional Recurrent Neural Networks. ICANN (1) 2007: 549-558

Daan Wierstra, Alexander Förster, Jan Peters, Jürgen Schmidhuber: Solving Deep Memory POMDPs with Recurrent Policy Gradients. ICANN (1) 2007: 697-706

Santiago Fernández, Alex Graves, Jürgen Schmidhuber: Sequence Labelling in Structured Domains with Hierarchical Recurrent Neural Networks. IJCAI 2007: 774-779

Matteo Gagliolo, Jürgen Schmidhuber: Learning Restart Strategies. IJCAI 2007: 792-797

Alex Graves, Santiago Fernández, Marcus Liwicki, Horst Bunke, Jürgen Schmidhuber: Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks. NIPS 2007

Jürgen Schmidhuber: New Millennium AI and the Convergence of History. Challenges for Computational Intelligence 2007: 15-35

Alex Graves, Santiago Fernández, Jürgen Schmidhuber: Multi-Dimensional Recurrent Neural Networks. CoRR abs/0705.2011 (2007)

Jürgen Schmidhuber: 2006: Celebrating 75 years of AI - History and Outlook: the Next 25 Years. CoRR abs/0708.4311 (2007)

Daniil Ryabko, Jürgen Schmidhuber: Using Data Compressors to Construct Rank Tests. CoRR abs/0709.0670 (2007)

Jürgen Schmidhuber: Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity. CoRR abs/0709.0674 (2007)

Alexey V. Chernov, Marcus Hutter, Jürgen Schmidhuber: Algorithmic Complexity Bounds on Future Prediction Errors. CoRR abs/cs/0701120 (2007)

Matteo Gagliolo, Jürgen Schmidhuber: Learning dynamic algorithm portfolios. Ann. Math. Artif. Intell. 47(3-4): 295-328 (2006)

Jürgen Schmidhuber: Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts. Connect. Sci. 18(2): 173-187 (2006)

Jürgen Schmidhuber: 2006: Celebrating 75 Years of AI - History and Outlook: The Next 25 Years. 50 Years of Artificial Intelligence 2006: 29-41

Alexey V. Chernov, Jürgen Schmidhuber: Prefix-Like Complexities and Computability in the Limit. CiE 2006: 85-93

Matteo Gagliolo, Jürgen Schmidhuber: Impact of Censored Sampling on the Performance of Restart Strategies. CP 2006: 167-181

Alexey V. Chernov, Marcus Hutter, Jürgen Schmidhuber: Complexity Monotone in Conditions and Future Prediction Errors. Kolmogorov Complexity and Applications 2006

Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen: Efficient Non-linear Control Through Neuroevolution. ECML 2006: 654-662

Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez: Evolino for recurrent support vector machines. ESANN 2006: 593-598

Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jürgen Schmidhuber: Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. IAS 2006: 272-281

Alex Graves, Santiago Fernández, Faustino J. Gomez, Jürgen Schmidhuber: Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. ICML 2006: 369-376

Bram Bakker, Viktor Zhumatiy, Gabriel Gruener, Jürgen Schmidhuber: Quasi-online Reinforcement Learning for Robots. ICRA 2006: 2997-3002

Hermann Georg Mayer, Faustino J. Gomez, Daan Wierstra, Istvan Nagy, Alois Knoll, Jürgen Schmidhuber: A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks. IROS 2006: 543-548

Matteo Gagliolo, Jürgen Schmidhuber: Dynamic Algorithm Portfolios. ISAIM 2006

Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jürgen Schmidhuber: Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. CoRR abs/cs/0603023 (2006)

Jürgen Schmidhuber: New Millennium AI and the Convergence of History. CoRR abs/cs/0606081 (2006)

Alex Graves, Jürgen Schmidhuber: Framewise phoneme classification with bidirectional LSTM and other neural network architectures. Neural Networks 18(5-6): 602-610 (2005)

Jürgen Schmidhuber: Gödel Machines: Towards a Technical Justification of Consciousness. Adaptive Agents and Multi-Agent Systems 2005: 1-23

Faustino J. Gomez, Jürgen Schmidhuber: Co-evolving recurrent neurons learn deep memory POMDPs. GECCO 2005: 491-498

Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber: Modeling systems with internal state using evolino. GECCO 2005: 1795-1802

Matteo Gagliolo, Jürgen Schmidhuber: A Neural Network Model for Inter-problem Adaptive Online Time Allocation. ICANN (2) 2005: 7-12

Jürgen Schmidhuber: Completely Self-referential Optimal Reinforcement Learners. ICANN (2) 2005: 223-233

Faustino J. Gomez, Jürgen Schmidhuber: Evolving Modular Fast-Weight Networks for Control. ICANN (2) 2005: 383-389

Martijn van de Giessen, Jürgen Schmidhuber: Fast Color-Based Object Recognition Independent of Position and Orientation. ICANN (1) 2005: 469-474

Nicole Beringer, Alex Graves, Florian Schiel, Jürgen Schmidhuber: Classifying Unprompted Speech by Retraining LSTM Nets. ICANN (1) 2005: 575-581

Alex Graves, Santiago Fernández, Jürgen Schmidhuber: Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition. ICANN (2) 2005: 799-804

Jürgen Schmidhuber, Daan Wierstra, Faustino J. Gomez: Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning. IJCAI 2005: 853-858

Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez: Evolino for recurrent support vector machines. CoRR abs/cs/0512062 (2005)

Jürgen Schmidhuber: Optimal Ordered Problem Solver. Machine Learning 54(3): 211-254 (2004)

Michele Milano, Petros Koumoutsakos, Jürgen Schmidhuber: Self-organizing nets for optimization. IEEE Transactions on Neural Networks 15(3): 758-765 (2004)

Alex Graves, Douglas Eck, Nicole Beringer, Jürgen Schmidhuber: Biologically Plausible Speech Recognition with LSTM Neural Nets. BioADIT 2004: 127-136

Matteo Gagliolo, Viktor Zhumatiy, Jürgen Schmidhuber: Adaptive Online Time Allocation to Search Algorithms. ECML 2004: 134-143

Bram Bakker, Jürgen Schmidhuber: Hierarchical reinforcement learning with subpolicies specializing for learned subgoals. Neural Networks and Computational Intelligence 2004: 125-130

Alex Graves, Nicole Beringer, Jürgen Schmidhuber: A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition. Neural Networks and Computational Intelligence 2004: 164-168

Juan Antonio Pérez-Ortiz, Felix A. Gers, Douglas Eck, Jürgen Schmidhuber: Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets. Neural Networks 16(2): 241-250 (2003)

Bram Bakker, Viktor Zhumatiy, Gabriel Gruener, Jürgen Schmidhuber: A robot that reinforcement-learns to identify and memorize important previous observations. IROS 2003: 430-435

Jürgen Schmidhuber: The New AI: General & Sound & Relevant for Physics. CoRR cs.AI/0302012 (2003)

Jürgen Schmidhuber: Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements. CoRR cs.LO/0309048 (2003)

Jürgen Schmidhuber: Hierarchies of Generalized Kolmogorov Complexities and Nonenumerable Universal Measures Computable in the Limit. Int. J. Found. Comput. Sci. 13(4): 587-612 (2002)

Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber: Learning Precise Timing with LSTM Recurrent Networks. Journal of Machine Learning Research 3: 115-143 (2002)

Jürgen Schmidhuber, Felix A. Gers, Douglas Eck: Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM. Neural Computation 14(9): 2039-2041 (2002)

Jürgen Schmidhuber: The Speed Prior: A New Simplicity Measure Yielding Near-Optimal Computable Predictions. COLT 2002: 216-228

Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber: DEKF-LSTM. ESANN 2002: 369-376

Douglas Eck, Jürgen Schmidhuber: Learning the Long-Term Structure of the Blues. ICANN 2002: 284-289

Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber: Learning Context Sensitive Languages with LSTM Trained with Kalman Filters. ICANN 2002: 655-660

Juan Antonio Pérez-Ortiz, Jürgen Schmidhuber, Felix A. Gers, Douglas Eck: Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters. ICANN 2002: 1055-1069

Jürgen Schmidhuber: Bias-Optimal Incremental Problem Solving. NIPS 2002: 1547-1546

Jürgen Schmidhuber: Optimal Ordered Problem Solver. CoRR cs.AI/0207097 (2002)

Ivo Kwee, Jürgen Schmidhuber: Optimal Control Using the Transport Equation: The Liouville Machine. Adaptive Behaviour 9(2): 105-118 (2001)

Felix A. Gers, Jürgen Schmidhuber: LSTM recurrent networks learn simple context-free and context-sensitive languages. IEEE Transactions on Neural Networks 12(6): 1333-1340 (2001)

Michele Milano, Jürgen Schmidhuber, Petros Koumoutsakos: Active Learning with Adaptive Grids. ICANN 2001: 436-442

Felix A. Gers, Douglas Eck, Jürgen Schmidhuber: Applying LSTM to Time Series Predictable through Time-Window Approaches. ICANN 2001: 669-676

Magdalena Klapper-Rybicka, Nicol N. Schraudolph, Jürgen Schmidhuber: Unsupervised Learning in LSTM Recurrent Neural Networks. ICANN 2001: 684-691

Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber: Market-Based Reinforcement Learning in Partially Observable Worlds. ICANN 2001: 865-873

Jürgen Schmidhuber: Sequential Decision Making Based on Direct Search. Sequence Learning 2001: 213-240

Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber: Market-Based Reinforcement Learning in Partially Observable Worlds. CoRR cs.AI/0105025 (2001)

Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber: Gradient-based Reinforcement Planning in Policy-Search Methods. CoRR cs.AI/0111060 (2001)

Felix A. Gers, Jürgen Schmidhuber, Fred A. Cummins: Learning to Forget: Continual Prediction with LSTM. Neural Computation 12(10): 2451-2471 (2000)

Felix A. Gers, Jürgen Schmidhuber: Recurrent Nets that Time and Count. IJCNN (3) 2000: 189-194

Felix A. Gers, Jürgen Schmidhuber: Neural Processing of Complex Continual Input Streams. IJCNN (4) 2000: 557-562

Jürgen Schmidhuber: Algorithmic Theories of Everything. CoRR quant-ph/0011122 (2000)

Marco Wiering, Rafal Salustowicz, Jürgen Schmidhuber: Reinforcement Learning Soccer Teams with Incomplete World Models. Auton. Robots 7(1): 77-88 (1999)

Sepp Hochreiter, Jürgen Schmidhuber: Feature Extraction Through LOCOCODE. Neural Computation 11(3): 679-714 (1999)

Fred A. Cummins, Felix A. Gers, Jürgen Schmidhuber: Language identification from prosody without explicit features. EUROSPEECH 1999

Sepp Hochreiter, Jürgen Schmidhuber: Nonlinear ICA through low-complexity autoencoders. ISCAS (5) 1999: 53-56

Jürgen Schmidhuber: A Computer Scientist's View of Life, the Universe, and Everything. CoRR quant-ph/9904050 (1999)

Marco Wiering, Jürgen Schmidhuber: Fast Online Q(lambda). Machine Learning 33(1): 105-115 (1998)

Rafal Salustowicz, Marco Wiering, Jürgen Schmidhuber: Learning Team Strategies: Soccer Case Studies. Machine Learning 33(2-3): 263-282 (1998)

Marco Wiering, Jürgen Schmidhuber: Speeding up Q(lambda)-Learning. ECML 1998: 352-363

Rafal Salustowicz, Jürgen Schmidhuber: Evolving Structured Programs with Hierarchical Instructions and Skip Nodes. ICML 1998: 488-496

Sepp Hochreiter, Jürgen Schmidhuber: Source Separation as a By-Product of Regularization. NIPS 1998: 459-465

Rafal Salustowicz, Jürgen Schmidhuber: Probabilistic Incremental Program Evolution. Evolutionary Computation 5(2): 123-141 (1997)

Jürgen Schmidhuber, Jieyu Zhao, Marco Wiering: Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement. Machine Learning 28(1): 105-130 (1997)

Sepp Hochreiter, Jürgen Schmidhuber: Flat Minima. Neural Computation 9(1): 1-42 (1997)

Sepp Hochreiter, Jürgen Schmidhuber: Long Short-Term Memory. Neural Computation 9(8): 1735-1780 (1997)

Jürgen Schmidhuber: Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability. Neural Networks 10(5): 857-873 (1997)

Jürgen Schmidhuber: A Computer Scientist's View of Life, the Universe, and Everything. Foundations of Computer Science: Potential - Theory - Cognition 1997: 201-208

Rafal Salustowicz, Jürgen Schmidhuber: Probabilistic Incremental Program Evolution: Stochastic Search Through Program Space. ECML 1997: 213-220

Sepp Hochreiter, Jürgen Schmidhuber: Unsupervised Coding with LOCOCODE. ICANN 1997: 655-660

Rafal Salustowicz, Marco Wiering, Jürgen Schmidhuber: On Learning Soccer Strategies. ICANN 1997: 769-774

Jürgen Schmidhuber, Stefan Heil: Sequential neural text compression. IEEE Trans. Neural Netw. Learning Syst. 7(1): 142-146 (1996)

Jürgen Schmidhuber, Jieyu Zhao: Multi-Agent Learning with the Success-Story Algorithm. ECAI Workshop LDAIS / ICMAS Workshop LIOME 1996: 82-93

Marco Wiering, Jürgen Schmidhuber: Solving POMDPs with Levin Search and EIRA. ICML 1996: 534-542

Sepp Hochreiter, Jürgen Schmidhuber: LSTM can Solve Hard Long Time Lag Problems. NIPS 1996: 473-479

Jürgen Schmidhuber: Discovering Solutions with Low Kolmogorov Complexity and High Generalization Capability. ICML 1995: 488-496

Sepp Hochreiter, Jürgen Schmidhuber: Simplifying Neural Nets by Discovering Flat Minima. NIPS 1994: 529-536

Jürgen Schmidhuber, Stefan Heil: Predictive Coding with Neural Nets: Application to Text Compression. NIPS 1994: 1047-1054

Jürgen Schmidhuber, Daniel Prelinger: Discovering Predictable Classifications. Neural Computation 5(4): 625-635 (1993)

Jürgen Schmidhuber: Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Networks. Neural Computation 4(1): 131-139 (1992)

Jürgen Schmidhuber: Learning Complex, Extended Sequences Using the Principle of History Compression. Neural Computation 4(2): 234-242 (1992)

Jürgen Schmidhuber: A Fixed Size Storage O(n³) Time Complexity Learning Algorithm for Fully Recurrent Continually Running Networks. Neural Computation 4(2): 243-248 (1992)

Jürgen Schmidhuber: Learning Factorial Codes by Predictability Minimization. Neural Computation 4(6): 863-879 (1992)

Jürgen Schmidhuber, Rudolf Huber: Learning to Generate Artificial Fovea Trajectories for Target Detection. Int. J. Neural Syst. 2(1-2): 125-134 (1991)

Jürgen Schmidhuber: Learning Unambiguous Reduced Sequence Descriptions. NIPS 1991: 291-298

Jürgen Schmidhuber: Reinforcement Learning in Markovian and Non-Markovian Environments. NIPS 1990: 500-506