Faustino Gomez

Cited by

	All	Since 2016
Citations	7421	4792
h-index	31	26
i10-index	48	33

1300

650

325

975

20012002200320042005200620072008200920102011201220132014201520162017201820192020202119 36 47 63 91 106 150 182 195 207 168 280 261 288 406 591 745 1034 1169 1232 19

Co-authors

Juergen SchmidhuberThe Swiss AI Lab IDSIA / USI & SUPSIVerified email at idsia.ch
Risto MiikkulainenProfessor of Computer Science, the University of Texas at AustinVerified email at cs.utexas.edu
Jan KoutníkDirector of Intelligent Automation, NNAISENSEVerified email at idsia.ch
Jonathan MasciNNAISENSE SAVerified email at nnaisense.com
Giuseppe CuccuUniversity of FribourgVerified email at unifr.ch
Alex GravesUniversity of TorontoVerified email at cs.toronto.edu
Santiago FernandezIK4-TeknikerVerified email at tekniker.es
Yi SunGoogleVerified email at idsia.ch
Matteo GaglioloAssociate Professor. GERME, Institute of Sociology, Université libre de Bruxelles, Brussels, BelgiumVerified email at ulb.ac.be
Rupesh Kumar SrivastavaNNAISENSEVerified email at nnaisense.com
Tom SchaulSenior Staff Research Scientist, DeepMindVerified email at nyu.edu
Marijn StollengaIDSIA/Supsi, USIVerified email at idsia.ch
Julian TogeliusAssociate Professor of Computer Science and Engineering, New York University; co-founder, modl.aiVerified email at nyu.edu
Klaus GreffMachine Learning PhD Student, Università della Svizzera ItalianaVerified email at usi.ch
Wojciech JaśkowskiNNAISENSEVerified email at nnaisense.com
Marco GallieriSenior Researcher, NNAISENSE SA. Former F1 Engineer, Cambridge PhD.Verified email at nnaisense.com
Doug BurgerTechnical Fellow, Microsoft AzureVerified email at microsoft.com
Mark RingIDSIAVerified email at markring.com
Matthew LuciwPrincipal Scientist, NeuralaVerified email at idsia.ch
Christian IgelDepartment of Computer Science, University of CopenhagenVerified email at diku.dk

Faustino Gomez

CEO NNAISENSE SA. Former Senior Researcher, IDSIA, Switzerland

Verified email at idsia.ch

AI Neural Networks Evolutionary Reinforcement Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	2765	2006
Incremental evolution of complex general behavior F Gomez, R Miikkulainen Adaptive Behavior 5 (3-4), 317-342, 1997	562	1997
A Clockwork RNN J Koutnik, K Greff, F Gomez, J Schimdhuber International Conference on Machine Learning (ICML), 2014	394	2014
Accelerated Neural Evolution through Cooperatively Coevolved Synapses. F Gomez, J Schmidhuber, R Miikkulainen, M Mitchell Journal of Machine Learning Research 9 (5), 2008	326	2008
Solving non-Markovian control tasks with neuroevolution FJ Gomez, R Miikkulainen IJCAI 99, 1356-1361, 1999	310	1999
Training recurrent networks by evolino J Schmidhuber, D Wierstra, M Gagliolo, F Gomez Neural Computation 19 (3), 757-779, 2007	270	2007
Deep networks with internal selective attention through feedback connections M Stollenga, J Masci, F Gomez, J Schmidhuber arXiv preprint arXiv:1407.3068, 2014	229	2014
Robust non-linear control through neuroevolution FJ Gomez Computer Science Department, University of Texas, 2003	206	2003
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	203	2008
Efficient non-linear control through neuroevolution F Gomez, J Schmidhuber, R Miikkulainen European Conference on Machine Learning, 654-662, 2006	169	2006
Compete to Compute. RK Srivastava, J Masci, S Kazerounian, FJ Gomez, J Schmidhuber NIPS, 2310-2318, 2013	167	2013
Active guidance for a finless rocket using neuroevolution F Gomez, R Miikkulainen International Conference on Genetic and Evolutionary Computation—GECCO 2003 …, 2003	157	2003
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	141	2013
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	113	2014
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	108	2011
Evolino: Hybrid neuroevolution/optimal linear search for sequence prediction J Schmidhuber, D Wierstra, FJ Gomez Proceedings of the 19th International Joint Conferenceon Artificial …, 2005	104	2005
When novelty is not enough G Cuccu, F Gomez Evostar 2011 (Turin), 234-243, 2011	97	2011
Sustaining diversity using behavioral information distance FJ Gomez Proceedings of the 11th Annual Conference on Genetic and Evolutionary …, 2009	79	2009
Co-evolving recurrent neurons learn deep memory POMDPs FJ Gomez, J Schmidhuber Proceedings of the 2005 Conference on Genetic and Evolutionary Computation …, 2005	75	2005
2-D pole-balancing with recurrent evolutionary networks F Gomez, R Miikkulainen Proceedings of the International Conference on Artificial Neural Networks …, 1998	71	1998

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors