Jan Koutník

发表

Proceedings of the 18th international conference on Artificial Neural Networks, Part II

Véra Kůrková, Roman Neruda, Jan Koutník, 2008 .

Reinforcement Learning to Run… Fast

Jan Koutník, Wojciech Jaśkowski, Odd Rune Lykkebø, 2018 .

Design magnetického vlaku

Jan Koutník, 2012 .

Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning

Jürgen Schmidhuber, Jan Koutník, Faustino J. Gomez, 2014, SAB.

Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I

Véra Kůrková, Roman Neruda, Jan Koutník, 2008, ICANN.

Accelerating Neural ODEs with Spectral Elements pdf

Jonathan Masci, Jan Koutník, Marco Gallieri, 2019, ArXiv.

Unsupervised Modeling of Partially Observable Environments

Jürgen Schmidhuber, Jan Koutník, Vincent Graziano, 2011, ECML/PKDD.

Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II

Roman Neruda, Jan Koutník, Vera Kurkova, 2008, ICANN.

Using Neural Networks to Predict the Functionality of Reconfigurable Nano-material Networks

Jürgen Schmidhuber, Jan Koutník, Klaus Greff, 2017 .

Evolving large-scale neural networks for vision-based reinforcement learning

Jürgen Schmidhuber, Jan Koutník, Faustino J. Gomez, 2013, GECCO '13.

Lipreading with long short-term memory

Jürgen Schmidhuber, Jan Koutník, Michael Wand, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Digital archiving of specific scientific information in the Czech Republic

Pavel Slavík, Jan Koutník, Pavel Mach, 2005, Data Sci. J..

Kernel representations for evolving continuous functions

Jürgen Schmidhuber, Jan Koutník, Tobias Glasmachers, 2012, Evol. Intell..

Building of 3D Environment Models for Mobile Robotics Using Self-organization

Roman Mázl, Miroslav Kulich, Jan Koutník, 2006, PPSN.

Searching for Minimal Neural Networks in Fourier Space

Jürgen Schmidhuber, Jan Koutník, Faustino Gomez, 2010, AGI 2010.

Grammatical Evolution with Bidirectional Representation

Léon J. M. Rothkrantz, Jan Koutník, Jirí Kubalík, 2003, EuroGP.

Neural Network Generating Hidden Markov Chain

Jan Koutník, Miroslav Snorek, 2005 .

NEAT in HyperNEAT Substituted with Genetic Programming

Jan Koutník, Miroslav Snorek, Zdenek Buk, 2009, ICANNGA.

Meta-learning approach to neural network optimization

Pavel Kordík, Jan Koutník, Jan Drchal, 2010, Neural Networks.

Self-Organizing Neural Networks for Signal Recognition

Jan Koutník, Miroslav Šnorek, J. Koutník, 2006, ICANN.

HyperNEAT controlled robots learn how to drive on roads in simulated environment

Jan Koutník, Jan Drchal, Miroslav Snorek, 2009, 2009 IEEE Congress on Evolutionary Computation.

Unconventional computing using evolution-in-nanomaterio: neural networks meet nanoparticle networks

Jan Koutník, Klaus Greff, Haitze J. Broersma, 2016 .

A Wavelet-based Encoding for Neuroevolution

Jürgen Schmidhuber, Kurt Driessens, Jan Koutník, 2016, GECCO.

Discovering Boolean Gates in Slime Mould pdf

Jürgen Schmidhuber, Andrew Adamatzky, Jan Koutník, 2016, ArXiv.

Compressed Network Complexity Search

Jürgen Schmidhuber, Jan Koutník, Faustino J. Gomez, 2012, PPSN.

A Frequency-Domain Encoding for Neuroevolution pdf

Jürgen Schmidhuber, Jan Koutník, Faustino J. Gomez, 2012, ArXiv.

Complexity search for compressed neural networks

Jürgen Schmidhuber, Jan Koutník, Faustino J. Gomez, 2012, GECCO '12.

A Clockwork RNN

Jürgen Schmidhuber, Jan Koutník, Klaus Greff, 2014, ICML.

Evolving neural networks in compressed weight space

Jürgen Schmidhuber, Jan Koutník, Faustino J. Gomez, 2010, GECCO '10.

Evolving large-scale neural networks for vision-based TORCS

Jürgen Schmidhuber, Jan Koutník, Faustino J. Gomez, 2013, FDG.

Temporal Hebbian Self-Organizing Map for Sequences

Jan Koutník, Miroslav Snorek, J. Koutník, 2008, ICANN.

Recurrent Highway Networks pdf

Jürgen Schmidhuber, Jan Koutník, Rupesh Kumar Srivastava, 2016, ICML.

Combining Multiple Inputs in HyperNEAT Mobile Agent Controller

Jan Koutník, Jan Drchal, Miroslav Snorek, 2009, ICANN.

Resource-Bounded Machines are Motivated to be Effective, Efficient, and Curious

Jürgen Schmidhuber, Kristinn R. Thórisson, Jan Koutník, 2013, AGI.

Evolving deep unsupervised convolutional networks for vision-based reinforcement learning

Jürgen Schmidhuber, Jan Koutník, Faustino J. Gomez, 2014, GECCO.

Super mario evolution

Julian Togelius, Jürgen Schmidhuber, Jan Koutník, 2009, 2009 IEEE Symposium on Computational Intelligence and Games.

From theoretical issues and neurophysiology to applications and hardware implementations.

Roman Neruda, Jan Koutník, Vera Kůrková, 2010, Neural networks : the official journal of the International Neural Network Society.