Jan Koutník

According to our database, Jan Koutník authored at least 33 papers between 2003 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Neural Lyapunov Model Predictive Control.

Mayank Mittal, Marco Gallieri, Alessio Quaglino, Seyed Sina Mirrazavi Salehian, Jan Koutník

CoRR, 2020

SNODE: Spectral Discretization of Neural ODEs for System Identification.

Alessio Quaglino, Marco Gallieri, Jonathan Masci, Jan Koutník

Proceedings of the 8th International Conference on Learning Representations, 2020

Infinite-Horizon Differentiable Model Predictive Control.

Sebastian East, Marco Gallieri, Jonathan Masci, Jan Koutník, Mark Cannon

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Accelerating Neural ODEs with Spectral Elements.

Alessio Quaglino, Marco Gallieri, Jonathan Masci, Jan Koutník

CoRR, 2019

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

Recurrent Highway Networks.

Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutník, Jürgen Schmidhuber

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Discovering Boolean Gates in Slime Mould.

Simon Harding, Jan Koutník, Klaus Greff, Jürgen Schmidhuber, Andy Adamatzky

CoRR, 2016

Lipreading with long short-term memory.

Michael Wand, Jan Koutník, Jürgen Schmidhuber

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A Wavelet-based Encoding for Neuroevolution.

Sjoerd van Steenkiste, Jan Koutník, Kurt Driessens, Jürgen Schmidhuber

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2014

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

Jan Koutník, Jürgen Schmidhuber, Faustino J. Gomez

Proceedings of the From Animals to Animats 13, 2014

A Clockwork RNN.

Jan Koutník, Klaus Greff, Faustino J. Gomez, Jürgen Schmidhuber

Proceedings of the 31th International Conference on Machine Learning, 2014

Evolving deep unsupervised convolutional networks for vision-based reinforcement learning.

Jan Koutník, Jürgen Schmidhuber, Faustino J. Gomez

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

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

Jan Koutník, Giuseppe Cuccu, Jürgen Schmidhuber, Faustino J. Gomez

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolving large-scale neural networks for vision-based TORCS.

Jan Koutník, Giuseppe Cuccu, Jürgen Schmidhuber, Faustino J. Gomez

Proceedings of the 8th International Conference on the Foundations of Digital Games, 2013

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

Bas R. Steunebrink, Jan Koutník, Kristinn R. Thórisson, Eric Nivel, Jürgen Schmidhuber

Proceedings of the Artificial General Intelligence - 6th International Conference, 2013

2012

Kernel representations for evolving continuous functions.

Tobias Glasmachers, Jan Koutník, Jürgen Schmidhuber

Evol. Intell., 2012

A Frequency-Domain Encoding for Neuroevolution

Jan Koutník, Jürgen Schmidhuber, Faustino J. Gomez

CoRR, 2012

Compressed Network Complexity Search.

Faustino J. Gomez, Jan Koutník, Jürgen Schmidhuber

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Complexity search for compressed neural networks.

Faustino J. Gomez, Jan Koutník, Jürgen Schmidhuber

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Unsupervised Modeling of Partially Observable Environments.

Vincent Graziano, Jan Koutník, Jürgen Schmidhuber

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Editorial.

Vera Kurková, Roman Neruda, Jan Koutník

Neural Networks, 2010

Meta-learning approach to neural network optimization.

Pavel Kordík, Jan Koutník, Jan Drchal, Oleg Kovárík, Miroslav Cepek, Miroslav Snorek

Neural Networks, 2010

Evolving neural networks in compressed weight space.

Jan Koutník, Faustino J. Gomez, Jürgen Schmidhuber

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009

NEAT in HyperNEAT Substituted with Genetic Programming.

Zdenek Buk, Jan Koutník, Miroslav Snorek

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Combining Multiple Inputs in HyperNEAT Mobile Agent Controller.

Jan Drchal, Ondrej Kapral, Jan Koutník, Miroslav Snorek

Proceedings of the Artificial Neural Networks, 2009

Super mario evolution.

Julian Togelius, Sergey Karakovskiy, Jan Koutník, Jürgen Schmidhuber

Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009

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

Jan Drchal, Jan Koutník, Miroslav Snorek

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Temporal Hebbian Self-Organizing Map for Sequences.

Jan Koutník, Miroslav Snorek

Proceedings of the Artificial Neural Networks, 2008

2006

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

Jan Koutník, Roman Mázl, Miroslav Kulich

Proceedings of the Parallel Problem Solving from Nature, 2006

Self-Organizing Neural Networks for Signal Recognition.

Jan Koutník, Miroslav Snorek

Proceedings of the Artificial Neural Networks, 2006

2005

Digital archiving of specific scientific information in the Czech Republic.

Pavel Slavík, Pavel Mach, Miroslav Snorek, Jan Koutník

Data Sci. J., 2005

2003

Grammatical Evolution with Bidirectional Representation.

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

Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003