Faustino Gomez

Citée par

	Toutes	Depuis 2016
Citations	7563	4924
indice h	31	26
indice i10	48	33

1300

650

325

975

20012002200320042005200620072008200920102011201220132014201520162017201820192020202119 36 47 63 91 106 150 182 196 206 168 281 261 287 413 585 745 1038 1166 1248 140

Coauteurs

Juergen SchmidhuberThe Swiss AI Lab IDSIA / USI & SUPSIAdresse e-mail validée de idsia.ch
Risto MiikkulainenProfessor of Computer Science, the University of Texas at AustinAdresse e-mail validée de cs.utexas.edu
Jan KoutníkDirector of Intelligent Automation, NNAISENSEAdresse e-mail validée de idsia.ch
Jonathan MasciNNAISENSE SAAdresse e-mail validée de nnaisense.com
Giuseppe CuccuUniversity of FribourgAdresse e-mail validée de unifr.ch
Alex GravesUniversity of TorontoAdresse e-mail validée de cs.toronto.edu
Santiago FernandezIK4-TeknikerAdresse e-mail validée de tekniker.es
Yi SunGoogleAdresse e-mail validée de idsia.ch
Matteo GaglioloAssociate Professor. GERME, Institute of Sociology, Université libre de Bruxelles, Brussels, BelgiumAdresse e-mail validée de ulb.ac.be
Rupesh Kumar SrivastavaNNAISENSEAdresse e-mail validée de nnaisense.com
Tom SchaulSenior Staff Research Scientist, DeepMindAdresse e-mail validée de nyu.edu
Marijn StollengaIDSIA/Supsi, USIAdresse e-mail validée de idsia.ch
Julian TogeliusAssociate Professor of Computer Science and Engineering, New York University; co-founder, modl.aiAdresse e-mail validée de nyu.edu
Klaus GreffMachine Learning PhD Student, Università della Svizzera ItalianaAdresse e-mail validée de usi.ch
Wojciech JaśkowskiNNAISENSEAdresse e-mail validée de nnaisense.com
Marco GallieriSenior Researcher, NNAISENSE SA. Former F1 Engineer, Cambridge PhD.Adresse e-mail validée de nnaisense.com
Doug BurgerTechnical Fellow, Microsoft AzureAdresse e-mail validée de microsoft.com
Mark RingIDSIAAdresse e-mail validée de markring.com
Matthew LuciwPrincipal Scientist, NeuralaAdresse e-mail validée de idsia.ch
Christian IgelDepartment of Computer Science, University of CopenhagenAdresse e-mail validée de diku.dk

Faustino Gomez

CEO NNAISENSE SA. Former Senior Researcher, IDSIA, Switzerland

Adresse e-mail validée de idsia.ch

AI Neural Networks Evolutionary Reinforcement Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	2856	2006
Incremental evolution of complex general behavior F Gomez, R Miikkulainen Adaptive Behavior 5 (3-4), 317-342, 1997	565	1997
A Clockwork RNN J Koutnik, K Greff, F Gomez, J Schimdhuber International Conference on Machine Learning (ICML), 2014	405	2014
Accelerated Neural Evolution through Cooperatively Coevolved Synapses. F Gomez, J Schmidhuber, R Miikkulainen, M Mitchell Journal of Machine Learning Research 9 (5), 2008	330	2008
Solving non-Markovian control tasks with neuroevolution FJ Gomez, R Miikkulainen IJCAI 99, 1356-1361, 1999	313	1999
Training recurrent networks by evolino J Schmidhuber, D Wierstra, M Gagliolo, F Gomez Neural Computation 19 (3), 757-779, 2007	272	2007
Deep networks with internal selective attention through feedback connections M Stollenga, J Masci, F Gomez, J Schmidhuber arXiv preprint arXiv:1407.3068, 2014	235	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	205	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	168	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	144	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	114	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	112	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	73	1998

Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.

Articles 1–20

Nombre de citations par an

Citations en double

Citations fusionnées

Ajouter les coauteursCoauteurs

Importer un PDF

Suivre les mises à jour de cet auteur

Citée par

Coauteurs