Grammatical Evolution with Bidirectional Representation. - Jirí Kubalík; Jan Koutník; Léon J. M. Rothkrantz (EuroGP, 2003)

Enhancement of categorizing and learning module (CALM) - embedded detection of signal change. - Jan Koutník; Miroslav Snorek (IJCNN, 2003)

Single categorizing and learning module for temporal sequences. - Jan Koutník; Miroslav Snorek (IJCNN, 2004)

Digital archiving of specific scientific information in the Czech Republic. - Pavel Slavík; Pavel Mach; Miroslav Snorek; Jan Koutník (Data Sci. J., 2005)

Self-Organizing Neural Networks for Signal Recognition. - Jan Koutník; Miroslav Snorek (ICANN (1), 2006)

Building of 3D Environment Models for Mobile Robotics Using Self-organization. - Jan Koutník; Roman Mázl; Miroslav Kulich (PPSN, 2006)

Temporal Hebbian Self-Organizing Map for Sequences. - Jan Koutník; Miroslav Snorek (ICANN (1), 2008)

HyperNEAT controlled robots learn how to drive on roads in simulated environment. - Jan Drchal; Jan Koutník; Miroslav Snorek (IEEE Congress on Evolutionary Computation, 2009)

Super mario evolution. - Julian Togelius; Sergey Karakovskiy; Jan Koutník; Jürgen Schmidhuber (CIG, 2009)

Combining Multiple Inputs in HyperNEAT Mobile Agent Controller. - Jan Drchal; Ondrej Kapral; Jan Koutník; Miroslav Snorek (ICANN (2), 2009)

NEAT in HyperNEAT Substituted with Genetic Programming. - Zdenek Buk; Jan Koutník; Miroslav Snorek (ICANNGA, 2009)

Evolving neural networks in compressed weight space. - Jan Koutník; Faustino J. Gomez; Jürgen Schmidhuber (GECCO, 2010)

Meta-learning approach to neural network optimization. - Pavel Kordík; Jan Koutník; Jan Drchal; Oleg Kovárík; Miroslav Cepek; Miroslav Snorek (Neural Networks, 2010)

Editorial. - Vera Kurková; Roman Neruda; Jan Koutník (Neural Networks, 2010)

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

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

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

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

Kernel representations for evolving continuous functions. - Tobias Glasmachers; Jan Koutník; Jürgen Schmidhuber (Evol. Intell., 2012)

Resource-Bounded Machines are Motivated to be Effective, Efficient, and Curious. - Bas R. Steunebrink; Jan Koutník; Kristinn R. Thórisson; Eric Nivel; Jürgen Schmidhuber (AGI, 2013)

Evolving large-scale neural networks for vision-based TORCS. - Jan Koutník; Giuseppe Cuccu; Jürgen Schmidhuber; Faustino J. Gomez (FDG, 2013)

Evolving large-scale neural networks for vision-based reinforcement learning. - Jan Koutník; Giuseppe Cuccu; Jürgen Schmidhuber; Faustino J. Gomez (GECCO, 2013)

Evolving deep unsupervised convolutional networks for vision-based reinforcement learning. - Jan Koutník; Jürgen Schmidhuber; Faustino J. Gomez (GECCO, 2014)

A Clockwork RNN. - Jan Koutník; Klaus Greff; Faustino J. Gomez; Jürgen Schmidhuber (ICML, 2014)

Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning. - Jan Koutník; Jürgen Schmidhuber; Faustino J. Gomez (SAB, 2014)

A Wavelet-based Encoding for Neuroevolution. - Sjoerd van Steenkiste; Jan Koutník; Kurt Driessens; Jürgen Schmidhuber (GECCO, 2016)

Lipreading with long short-term memory. - Michael Wand 002; Jan Koutník; Jürgen Schmidhuber (ICASSP, 2016)

Discovering Boolean Gates in Slime Mould. - Simon Harding; Jan Koutník; Klaus Greff; Jürgen Schmidhuber; Andy Adamatzky (CoRR, 2016)

Recurrent Highway Networks. - Julian Georg Zilly; Rupesh Kumar Srivastava; Jan Koutník; Jürgen Schmidhuber (ICML, 2017)

LSTM: A Search Space Odyssey. - Klaus Greff; Rupesh Kumar Srivastava; Jan Koutník; Bas R. Steunebrink; Jürgen Schmidhuber (IEEE Trans. Neural Networks Learn. Syst., 2017)

Accelerating Neural ODEs with Spectral Elements. - Alessio Quaglino; Marco Gallieri; Jonathan Masci; Jan Koutník (CoRR, 2019)

Safe Interactive Model-Based Learning. - Marco Gallieri; Seyed Sina Mirrazavi Salehian; Nihat Engin Toklu; Alessio Quaglino; Jonathan Masci; Jan Koutník; Faustino J. Gomez (CoRR, 2019)

Infinite-Horizon Differentiable Model Predictive Control. - Sebastian East; Marco Gallieri; Jonathan Masci; Jan Koutník; Mark Cannon (ICLR, 2020)

SNODE: Spectral Discretization of Neural ODEs for System Identification. - Alessio Quaglino; Marco Gallieri; Jonathan Masci; Jan Koutník (ICLR, 2020)

Neural Lyapunov Model Predictive Control. - Mayank Mittal; Marco Gallieri; Alessio Quaglino; Seyed Sina Mirrazavi Salehian; Jan Koutník (CoRR, 2020)