Jan Koutník

According to our database1, Jan Koutník authored at least 32 papers between 2003 and 2017.

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Timeline

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Bibliography

2017
LSTM: A Search Space Odyssey.
IEEE Trans. Neural Netw. Learning Syst., 2017

Recurrent Highway Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Recurrent Highway Networks.
CoRR, 2016

Lipreading with Long Short-Term Memory.
CoRR, 2016

Discovering Boolean Gates in Slime Mould.
CoRR, 2016

Lipreading with long short-term memory.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A Wavelet-based Encoding for Neuroevolution.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015
LSTM: A Search Space Odyssey.
CoRR, 2015

2014
A Clockwork RNN.
CoRR, 2014

Online Evolution of Deep Convolutional Network for Vision-Based Reinforcement Learning.
Proceedings of the From Animals to Animats 13, 2014

A Clockwork RNN.
Proceedings of the 31th International Conference on Machine Learning, 2014

Evolving deep unsupervised convolutional networks for vision-based reinforcement learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Evolving large-scale neural networks for vision-based reinforcement learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolving large-scale neural networks for vision-based TORCS.
Proceedings of the 8th International Conference on the Foundations of Digital Games, 2013

Resource-Bounded Machines are Motivated to be Effective, Efficient, and Curious.
Proceedings of the Artificial General Intelligence - 6th International Conference, 2013

2012
Kernel representations for evolving continuous functions.
Evolutionary Intelligence, 2012

A Frequency-Domain Encoding for Neuroevolution
CoRR, 2012

Compressed Network Complexity Search.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Complexity search for compressed neural networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Unsupervised Modeling of Partially Observable Environments.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010
Editorial.
Neural Networks, 2010

Meta-learning approach to neural network optimization.
Neural Networks, 2010

Evolving neural networks in compressed weight space.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
NEAT in HyperNEAT Substituted with Genetic Programming.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Combining Multiple Inputs in HyperNEAT Mobile Agent Controller.
Proceedings of the Artificial Neural Networks, 2009

Super mario evolution.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009

HyperNEAT controlled robots learn how to drive on roads in simulated environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Temporal Hebbian Self-Organizing Map for Sequences.
Proceedings of the Artificial Neural Networks, 2008

2006
Building of 3D Environment Models for Mobile Robotics Using Self-organization.
Proceedings of the Parallel Problem Solving from Nature, 2006

Self-Organizing Neural Networks for Signal Recognition.
Proceedings of the Artificial Neural Networks, 2006

2005
Digital archiving of specific scientific information in the Czech Republic.
Data Science Journal, 2005

2003
Grammatical Evolution with Bidirectional Representation.
Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003


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