| LSTM: A Search Space Odyssey K Greff, RK Srivastava, J Koutník, BR Steunebrink, J Schmidhuber arXiv preprint arXiv:1503.04069, 2015 | 3561 | 2015 |
| A Clockwork RNN J Koutník, K Greff, F Gomez, J Schmidhuber arXiv preprint arXiv:1402.3511, 2014 | 436 | 2014 |
| Recurrent highway networks JG Zilly, RK Srivastava, J Koutník, J Schmidhuber Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 383 | 2017 |
| Evolving Large-Scale Neural Networks for Vision-Based Reinforcement Learning J Koutník, G Cuccu, J Schmidhuber, F Gomez | 184* | |
| Lipreading with long short-term memory M Wand, J Koutník, J Schmidhuber 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 157 | 2016 |
| Super mario evolution J Togelius, S Karakovskiy, J Koutník, J Schmidhuber Computational Intelligence and Games, 2009. CIG 2009. IEEE Symposium on, 156-161, 2009 | 140 | 2009 |
| Evolving neural networks in compressed weight space J Koutník, F Gomez, J Schmidhuber Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010 | 77 | 2010 |
| Meta-learning approach to neural network optimization P Kordík, J Koutník, J Drchal, O Kovárík, M Cepek, M Snorek Neural Networks 23 (4), 568-582, 2010 | 56 | 2010 |
| HyperNEAT controlled robots learn how to drive on roads in simulated environment J Drchal, J Koutník, M Snorek Evolutionary Computation, 2009. CEC'09. IEEE Congress on, 1087-1092, 2009 | 42 | 2009 |
| NEAT in HyperNEAT substituted with genetic programming Z Buk, J Koutník, M Šnorek Adaptive and Natural Computing Algorithms, 243-252, 2009 | 38 | 2009 |
| Evolving Large-Scale Neural Networks for Vision-Based TORCS J Koutník, G Cuccu, J Schmidhuber, F Gomez | 30 | |
| Inductive modelling of temporal sequences by means of self-organization J Koutnik Proceeding of International Workshop on Inductive Modelling (IWIM 2007), 269-277, 2007 | 28 | 2007 |
| A wavelet-based encoding for neuroevolution S van Steenkiste, J Koutník, K Driessens, J Schmidhuber Proceedings of the Genetic and Evolutionary Computation Conference 2016, 517-524, 2016 | 15 | 2016 |
| Compressed Network Complexity Search F Gomez, J Koutník, J Schmidhuber Parallel Problem Solving from Nature-PPSN XII, 316-326, 2012 | 14 | 2012 |
| Building of 3d environment models for mobile robotics using self-organization J Koutník, R Mázl, M Kulich Parallel Problem Solving from Nature-PPSN IX, 721-730, 2006 | 11 | 2006 |
| Reinforcement Learning to Run… Fast W Jaśkowski, OR Lykkebř, NE Toklu, F Trifterer, Z Buk, J Koutník, ... The NIPS'17 Competition: Building Intelligent Systems, 155-167, 2018 | 10 | 2018 |
| Combining Multiple Inputs in HyperNEAT Mobile Agent Controller J Drchal, O Kapral, J Koutník, M Šnorek Artificial Neural Networks–ICANN 2009, 775-783, 2009 | 8 | 2009 |
| Temporal hebbian self-organizing map for sequences J Koutník, M Šnorek Artificial Neural Networks-ICANN 2008, 632-641, 2008 | 8 | 2008 |
| Grammatical evolution with bidirectional representation J Kubalík, J Koutník, L Rothkrantz Genetic Programming, 19-35, 2003 | 8 | 2003 |
| Accelerating Neural ODEs with Spectral Elements A Quaglino, M Gallieri, J Masci, J Koutník arXiv preprint arXiv:1906.07038, 2019 | 5 | 2019 |
Juergen SchmidhuberThe Swiss AI Lab, IDSIA, University of LuganoEmail verificata su idsia.ch
