Faustino Gomez
Faustino Gomez
CEO NNAISENSE SA. Former Senior Researcher, IDSIA, Switzerland
Verified email at idsia.ch
Cited by
Cited by
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
A Graves, S Fernández, F Gomez, J Schmidhuber
Proceedings of the 23rd International Conference on Machine Learning, 369-376, 2006
Incremental evolution of complex general behavior
F Gomez, R Miikkulainen
Adaptive Behavior 5 (3-4), 317-342, 1997
A Clockwork RNN
J Koutnik, K Greff, F Gomez, J Schimdhuber
International Conference on Machine Learning (ICML), 2014
Accelerated Neural Evolution through Cooperatively Coevolved Synapses.
F Gomez, J Schmidhuber, R Miikkulainen, M Mitchell
Journal of Machine Learning Research 9 (5), 2008
Solving non-Markovian control tasks with neuroevolution
FJ Gomez, R Miikkulainen
IJCAI 99, 1356-1361, 1999
Training recurrent networks by evolino
J Schmidhuber, D Wierstra, M Gagliolo, F Gomez
Neural Computation 19 (3), 757-779, 2007
Deep networks with internal selective attention through feedback connections
M Stollenga, J Masci, F Gomez, J Schmidhuber
arXiv preprint arXiv:1407.3068, 2014
A system for robotic heart surgery that learns to tie knots using recurrent neural networks
H Mayer, F Gomez, D Wierstra, I Nagy, A Knoll, J Schmidhuber
Advanced Robotics 22 (13-14), 1521-1537, 2008
Robust non-linear control through neuroevolution
FJ Gomez
Computer Science Department, University of Texas, 2003
Compete to Compute.
RK Srivastava, J Masci, S Kazerounian, FJ Gomez, J Schmidhuber
NIPS, 2310-2318, 2013
Efficient non-linear control through neuroevolution
F Gomez, J Schmidhuber, R Miikkulainen
European Conference on Machine Learning, 654-662, 2006
Evolving Large-Scale Neural Networks for Vision-Based Reinforcement Learning
J Koutník, G Cuccu, J Schmidhuber, F Gomez
Genetic and Evolutionary Computation Conference (GECCO), 2013
Active guidance for a finless rocket using neuroevolution
F Gomez, R Miikkulainen
International Conference on Genetic and Evolutionary Computation—GECCO 2003 …, 2003
Planning to be surprised: Optimal bayesian exploration in dynamic environments
Y Sun, F Gomez, J Schmidhuber
International Conference on Artificial General Intelligence, 41-51, 2011
Evolving deep unsupervised convolutional networks for vision-based reinforcement learning
J Koutník, J Schmidhuber, F Gomez
Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014
Evolino: Hybrid neuroevolution/optimal linear search for sequence prediction
J Schmidhuber, D Wierstra, FJ Gomez
Proceedings of the 19th International Joint Conferenceon Artificial …, 2005
When novelty is not enough
G Cuccu, F Gomez
Evostar 2011 (Turin), 234-243, 2011
Model-based active exploration
P Shyam, W Jaśkowski, F Gomez
International conference on machine learning, 5779-5788, 2019
Sustaining diversity using behavioral information distance
FJ Gomez
Proceedings of the 11th Annual Conference on Genetic and Evolutionary …, 2009
Co-evolving recurrent neurons learn deep memory POMDPs
FJ Gomez, J Schmidhuber
Proceedings of the 2005 Conference on Genetic and Evolutionary Computation …, 2005
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