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Jürgen Schmidhuber, Ph.D. - Publications

Affiliations: 
1995- Istituto Dalle Molle di Studi sull'Intelligenza Artificiale 
Area:
Artificial Intelligence
Website:
http://people.idsia.ch/~juergen/
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64 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Gopalakrishnan A, Irie K, Schmidhuber J, van Steenkiste S. Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers. Neural Computation. 35: 593-626. PMID 36746145 DOI: 10.1162/neco_a_01567  0.341
2021 Rauber P, Ummadisingu A, Mutz F, Schmidhuber J. Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients. Neural Computation. 33: 1498-1553. PMID 34496391 DOI: 10.1162/neco_a_01387  0.309
2020 van Steenkiste S, Kurach K, Schmidhuber J, Gelly S. Investigating object compositionality in Generative Adversarial Networks. Neural Networks : the Official Journal of the International Neural Network Society. 130: 309-325. PMID 32736226 DOI: 10.1016/J.Neunet.2020.07.007  0.388
2020 Schmidhuber J. Generative Adversarial Networks are special cases of Artificial Curiosity (1990) and also closely related to Predictability Minimization (1991). Neural Networks : the Official Journal of the International Neural Network Society. 127: 58-66. PMID 32334341 DOI: 10.1016/J.Neunet.2020.04.008  0.371
2016 Greff K, Srivastava RK, Koutnik J, Steunebrink BR, Schmidhuber J. LSTM: A Search Space Odyssey. Ieee Transactions On Neural Networks and Learning Systems. PMID 27411231 DOI: 10.1109/Tnnls.2016.2582924  0.397
2016 Kompella VR, Luciw M, Stollenga MF, Schmidhuber J. Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis. Neural Computation. 1-64. PMID 27348735 DOI: 10.1162/Neco_A_00855  0.446
2015 Arganda-Carreras I, Turaga SC, Berger DR, Cireşan D, Giusti A, Gambardella LM, Schmidhuber J, Laptev D, Dwivedi S, Buhmann JM, Liu T, Seyedhosseini M, Tasdizen T, Kamentsky L, Burget R, et al. Crowdsourcing the creation of image segmentation algorithms for connectomics. Frontiers in Neuroanatomy. 9: 142. PMID 26594156 DOI: 10.3389/Fnana.2015.00142  0.311
2015 Schmidhuber J. Deep learning in neural networks: an overview. Neural Networks : the Official Journal of the International Neural Network Society. 61: 85-117. PMID 25462637 DOI: 10.1016/J.Neunet.2014.09.003  0.437
2015 Kompella VR, Stollenga M, Luciw M, Schmidhuber J. Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots Artificial Intelligence. DOI: 10.1016/J.Artint.2015.02.001  0.441
2014 Masci J, Bronstein MM, Bronstein AM, Schmidhuber J. Multimodal Similarity-Preserving Hashing. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 824-30. PMID 26353203 DOI: 10.1109/Tpami.2013.225  0.452
2014 Frank M, Leitner J, Stollenga M, Förster A, Schmidhuber J. Curiosity driven reinforcement learning for motion planning on humanoids. Frontiers in Neurorobotics. 7: 25. PMID 24432001 DOI: 10.3389/Fnbot.2013.00025  0.721
2014 Ngo H, Luciw M, Nagi J, Forster A, Schmidhuber J, Vien NA. Efficient Interactive Multiclass Learning from Binary Feedback Acm Transactions On Interactive Intelligent Systems. 4: 1-25. DOI: 10.1145/2629631  0.44
2014 Luciw M, Kazerounian S, Sandamirskaya Y, Schöner G, Schmidhuber J. Reinforcement-driven shaping of sequence learning in neural dynamics Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8575: 198-209. DOI: 10.1007/978-3-319-08864-8_19  0.327
2013 Ngo H, Luciw M, Förster A, Schmidhuber J. Confidence-based progress-driven self-generated goals for skill acquisition in developmental robots. Frontiers in Psychology. 4: 833. PMID 24324448 DOI: 10.3389/Fpsyg.2013.00833  0.405
2013 Schmidhuber J. PowerPlay: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem. Frontiers in Psychology. 4: 313. PMID 23761771 DOI: 10.3389/Fpsyg.2013.00313  0.377
2013 Luciw M, Kompella V, Kazerounian S, Schmidhuber J. An intrinsic value system for developing multiple invariant representations with incremental slowness learning. Frontiers in Neurorobotics. 7: 9. PMID 23755011 DOI: 10.3389/Fnbot.2013.00009  0.446
2013 Srivastava RK, Steunebrink BR, Schmidhuber J. First experiments with POWERPLAY. Neural Networks : the Official Journal of the International Neural Network Society. 41: 130-6. PMID 23465562 DOI: 10.1016/J.Neunet.2013.01.022  0.367
2013 Ruhrmair U, Solter J, Sehnke F, Xu X, Mahmoud A, Stoyanova V, Dror G, Schmidhuber J, Burleson W, Devadas S. PUF Modeling Attacks on Simulated and Silicon Data Ieee Transactions On Information Forensics and Security. 8: 1876-1891. DOI: 10.1109/Tifs.2013.2279798  0.326
2012 Kompella VR, Luciw M, Schmidhuber J. Incremental slow feature analysis: adaptive low-complexity slow feature updating from high-dimensional input streams. Neural Computation. 24: 2994-3024. PMID 22845826 DOI: 10.1162/Neco_A_00344  0.374
2012 Pape L, Oddo CM, Controzzi M, Cipriani C, Förster A, Carrozza MC, Schmidhuber J. Learning tactile skills through curious exploration. Frontiers in Neurorobotics. 6: 6. PMID 22837748 DOI: 10.3389/Fnbot.2012.00006  0.429
2012 Cireşan D, Meier U, Masci J, Schmidhuber J. Multi-column deep neural network for traffic sign classification. Neural Networks : the Official Journal of the International Neural Network Society. 32: 333-8. PMID 22386783 DOI: 10.1016/J.Neunet.2012.02.023  0.365
2012 Leitner J, Harding S, Frank M, Forster A, Schmidhuber J. Learning spatial object localization from vision on a humanoid robot International Journal of Advanced Robotic Systems. 9: 243. DOI: 10.5772/54657  0.396
2012 Danafar S, Giusti A, Schmidhuber J. Erratum to: Novel Kernel-Based Recognizers of Human Actions Eurasip Journal On Advances in Signal Processing. 2012: 124. DOI: 10.1186/1687-6180-2012-124  0.363
2012 Glasmachers T, Koutník J, Schmidhuber J. Kernel representations for evolving continuous functions Evolutionary Intelligence. 5: 171-187. DOI: 10.1007/S12065-012-0070-Y  0.699
2011 Gagliolo M, Schmidhuber J. Algorithm portfolio selection as a bandit problem with unbounded losses Annals of Mathematics and Artificial Intelligence. 61: 49-86. DOI: 10.1007/S10472-011-9228-Z  0.408
2011 Graziano V, Koutník J, Schmidhuber J. Unsupervised modeling of partially observable environments Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6911: 503-515. DOI: 10.1007/978-3-642-23780-5_42  0.338
2010 Cireşan DC, Meier U, Gambardella LM, Schmidhuber J. Deep, big, simple neural nets for handwritten digit recognition. Neural Computation. 22: 3207-20. PMID 20858131 DOI: 10.1162/Neco_A_00052  0.335
2010 Sehnke F, Osendorfer C, Rückstiess T, Graves A, Peters J, Schmidhuber J. Parameter-exploring policy gradients. Neural Networks : the Official Journal of the International Neural Network Society. 23: 551-9. PMID 20061118 DOI: 10.1016/J.Neunet.2009.12.004  0.354
2010 Rückstieß T, Sehnke F, Schaul T, Wierstra D, Sun Y, Schmidhuber J. Exploring parameter space in reinforcement learning Paladyn. 1: 14-24. DOI: 10.2478/S13230-010-0002-4  0.401
2010 Danafar S, Giusti A, Schmidhuber J. Novel kernel-based recognizers of human actions Eurasip Journal On Advances in Signal Processing. 2010: 202768. DOI: 10.1155/2010/202768  0.336
2010 Schmidhuber J. Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990–2010) Ieee Transactions On Autonomous Mental Development. 2: 230-247. DOI: 10.1109/Tamd.2010.2056368  0.381
2010 Wierstra D, Förster A, Peters J, Schmidhuber J. Recurrent policy gradients Logic Journal of the Igpl. 18: 620-634. DOI: 10.1093/Jigpal/Jzp049  0.379
2010 Schmidhuber J. The new AI is general and mathematically rigorous Frontiers of Electrical and Electronic Engineering in China. 5: 347-362. DOI: 10.1007/S11460-010-0105-Z  0.364
2009 Graves A, Liwicki M, Fernández S, Bertolami R, Bunke H, Schmidhuber J. A novel connectionist system for unconstrained handwriting recognition. Ieee Transactions On Pattern Analysis and Machine Intelligence. 31: 855-68. PMID 19299860 DOI: 10.1109/Tpami.2008.137  0.344
2009 Martín-Guerrero JD, Gomez F, Soria-Olivas E, Schmidhuber J, Climente-Martí M, Jiménez-Torres NV. A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients Expert Systems With Applications. 36: 9737-9742. DOI: 10.1016/J.Eswa.2009.02.041  0.347
2007 Schmidhuber J, Wierstra D, Gagliolo M, Gomez F. Training recurrent networks by Evolino. Neural Computation. 19: 757-79. PMID 17298232 DOI: 10.1162/Neco.2007.19.3.757  0.339
2006 Schmidhuber J. Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts Connection Science. 18: 173-187. DOI: 10.1080/09540090600768658  0.372
2006 Gagliolo M, Schmidhuber J. Learning dynamic algorithm portfolios Annals of Mathematics and Artificial Intelligence. 47: 295-328. DOI: 10.1007/S10472-006-9036-Z  0.401
2005 Graves A, Schmidhuber J. Framewise phoneme classification with bidirectional LSTM and other neural network architectures. Neural Networks : the Official Journal of the International Neural Network Society. 18: 602-10. PMID 16112549 DOI: 10.1016/J.Neunet.2005.06.042  0.346
2004 Milano M, Koumoutsakos P, Schmidhuber J. Self-organizing nets for optimization. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 758-65. PMID 15384562 DOI: 10.1109/Tnn.2004.826132  0.375
2004 Graves A, Eck D, Beringer N, Schmidhuber J. Biologically plausible speech recognition with LSTM neural nets Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3141: 127-136. DOI: 10.1007/978-3-540-27835-1_10  0.35
2003 Pérez-Ortiz JA, Gers FA, Eck D, Schmidhuber J. Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets. Neural Networks : the Official Journal of the International Neural Network Society. 16: 241-50. PMID 12628609 DOI: 10.1016/S0893-6080(02)00219-8  0.302
2003 Gers FA, Schraudolph NN, Schmidhuber J. Learning precise timing with lstm recurrent networks Journal of Machine Learning Research. 3: 115-143. DOI: 10.1162/153244303768966139  0.433
2002 Schmidhuber J, Gers F, Eck D. Learning nonregular languages: a comparison of simple recurrent networks and LSTM. Neural Computation. 14: 2039-41. PMID 12184841 DOI: 10.1162/089976602320263980  0.325
2002 Schmidhuber J. Hierarchies Of Generalized Kolmogorov Complexities And Nonenumerable Universal Measures Computable In The Limit International Journal of Foundations of Computer Science. 13: 587-612. DOI: 10.1142/S0129054102001291  0.315
2002 Eck D, Schmidhuber J. Finding temporal structure in music: Blues improvisation with LSTM recurrent networks Neural Networks For Signal Processing - Proceedings of the Ieee Workshop. 2002: 747-756. DOI: 10.1109/NNSP.2002.1030094  0.309
2001 Kwee I, Schmidhuber J. Optimal Control Using the Transport Equation: The Liouville Machine Adaptive Behavior. 9: 105-118. DOI: 10.1177/105971230200900201  0.305
2000 Gers FA, Schmidhuber J, Cummins F. Learning to forget: continual prediction with LSTM. Neural Computation. 12: 2451-71. PMID 11032042 DOI: 10.1162/089976600300015015  0.322
1999 Hochreiter S, Schmidhuber J. Feature extraction through LOCOCODE Neural Computation. 11: 679-714. PMID 10085426 DOI: 10.1162/089976699300016629  0.64
1999 Wiering M, Sałustowicz R, Schmidhuber J. Reinforcement Learning Soccer Teams with Incomplete World Models Autonomous Robots. 7: 77-88. DOI: 10.1023/A:1008921914343  0.467
1998 Sałustowicz RP, Wiering MA, Schmidhuber J. Learning Team Strategies: Soccer Case Studies Machine Learning. 33: 263-282. DOI: 10.1023/A:1007570708568  0.441
1998 Wiering M, Schmidhuber J. Fast Online Q(λ) Machine Learning. 33: 105-115. DOI: 10.1023/A:1007562800292  0.349
1997 Schmidhuber J. Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability. Neural Networks : the Official Journal of the International Neural Network Society. 10: 857-873. PMID 12662875 DOI: 10.1016/S0893-6080(96)00127-X  0.41
1997 Hochreiter S, Schmidhuber J. Long short-term memory Neural Computation. 9: 1735-1780. PMID 9377276 DOI: 10.1162/Neco.1997.9.8.1735  0.673
1997 Schmidhuber J. Low-Complexity Art Leonardo. 30: 97-103. DOI: 10.2307/1576418  0.328
1997 Wiering M, Schmidhuber J. HQ-Learning Adaptive Behavior. 6: 219-246. DOI: 10.1177/105971239700600202  0.302
1997 Schmidhuber J, Zhao J, Wiering M. Shifting Inductive Bias with Success-Story Algorithm, AdaptiveLevin Search, and Incremental Self-Improvement Machine Learning. 28: 105-130. DOI: 10.1023/A:1007383707642  0.367
1996 Schmidhuber J, Eldracher M, Foltin B. Semilinear predictability minimization produces well-known feature detectors Neural Computation. 8: 773-786. DOI: 10.1162/Neco.1996.8.4.773  0.334
1992 Schmidhuber J. Learning factorial codes by predictability minimization Neural Computation. 4: 863-879. DOI: 10.1162/Neco.1992.4.6.863  0.382
1992 Schmidhuber J. A fixed size storage O(n 3 ) time complexity learning algorithm for fully recurrent continually running networks Neural Computation. 4: 243-248. DOI: 10.1162/Neco.1992.4.2.243  0.381
1992 Schmidhuber J. Learning complex, extended sequences using the principle of history compression Neural Computation. 4: 234-242. DOI: 10.1162/Neco.1992.4.2.234  0.423
1992 Schmidhuber J. Learning to control fast-weight memories: an alternative to dynamic recurrent networks Neural Computation. 4: 131-139. DOI: 10.1162/Neco.1992.4.1.131  0.421
1991 Schmidhuber J, Huber R. Learning To Generate Artificial Fovea Trajectories For Target Detection International Journal of Neural Systems. 2: 125-134. DOI: 10.1142/S012906579100011X  0.394
1989 Schmidhuber J. A Local Learning Algorithm for Dynamic Feedforward and Recurrent Networks Connection Science. 1: 403-412. DOI: 10.1080/09540098908915650  0.437
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