Faustino Gomez

Cited by

	All	Since 2018
Citations	11234	7202
h-index	32	24
i10-index	50	34

1600

800

400

1200

200220032004200520062007200820092010201120122013201420152016201720182019202020212022202340 48 63 94 109 144 179 198 212 173 280 261 282 410 586 757 1020 1199 1283 1594 1515 591

Public access

View all

15 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of LuganoVerified email at kaust.edu.sa
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
Alex GravesUniversity of TorontoVerified email at cs.toronto.edu
Santiago FernandezIK4-TeknikerVerified email at tekniker.es
Giuseppe CuccuUniversity of FribourgVerified email at unifr.ch
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 Scientist, DeepMindVerified email at nyu.edu
Marijn StollengaIDSIA/Supsi, USIVerified email at imfusion.com
Klaus GreffResearch Scientist at Google BrainVerified email at usi.ch
Julian TogeliusAssociate Professor of Computer Science and Engineering, New York University; co-founder, modl.aiVerified email at nyu.edu
Wojciech JaśkowskiSnowflakeVerified email at snowflake.com
Marco GallieriSenior Researcher, NNAISENSE SA. Former F1 Engineer, Cambridge PhD.Verified email at nnaisense.com
Mark RingIDSIAVerified email at markring.com
Doug BurgerTechnical Fellow, Microsoft AzureVerified email at microsoft.com
Marco CicconePostdoctoral Researcher at Politecnico di TorinoVerified email at polito.it
Christian Osendorfer (Dr.)former TU MünchenVerified email at in.tum.de

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	5449	2006
Incremental evolution of complex general behavior F Gomez, R Miikkulainen Adaptive Behavior 5 (3-4), 317-342, 1997	607	1997
A Clockwork RNN J Koutnik, K Greff, F Gomez, J Schimdhuber International Conference on Machine Learning (ICML), 2014	585	2014
Accelerated Neural Evolution through Cooperatively Coevolved Synapses. F Gomez, J Schmidhuber, R Miikkulainen Journal of Machine Learning Research 9 (5), 2008	373	2008
Solving non-Markovian control tasks with neuroevolution FJ Gomez, R Miikkulainen IJCAI 99, 1356-1361, 1999	338	1999
Training recurrent networks by evolino J Schmidhuber, D Wierstra, M Gagliolo, F Gomez Neural Computation 19 (3), 757-779, 2007	314	2007
Deep networks with internal selective attention through feedback connections MF Stollenga, J Masci, F Gomez, J Schmidhuber Advances in neural information processing systems 27, 2014	311	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	268	2008
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	219	2013
Robust non-linear control through neuroevolution FJ Gomez Computer Science Department, University of Texas, 2003	213	2003
Compete to compute RK Srivastava, J Masci, S Kazerounian, F Gomez, J Schmidhuber Advances in neural information processing systems 26, 2013	212	2013
Efficient non-linear control through neuroevolution F Gomez, J Schmidhuber, R Miikkulainen Machine Learning: ECML 2006: 17th European Conference on Machine Learning …, 2006	181	2006
Active guidance for a finless rocket using neuroevolution F Gomez, R Miikkulainen International Conference on Genetic and Evolutionary Computation—GECCO 2003 …, 2003	169	2003
Planning to be surprised: Optimal bayesian exploration in dynamic environments Y Sun, F Gomez, J Schmidhuber Artificial General Intelligence: 4th International Conference, AGI 2011 …, 2011	168	2011
Model-based active exploration P Shyam, W Jaśkowski, F Gomez International conference on machine learning, 5779-5788, 2019	156	2019
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	148	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	138	2005
When novelty is not enough G Cuccu, F Gomez Evostar 2011 (Turin), 234-243, 2011	117	2011
Co-evolving recurrent neurons learn deep memory POMDPs FJ Gomez, J Schmidhuber Proceedings of the 2005 Conference on Genetic and Evolutionary Computation …, 2005	97	2005
Evolving neural networks in compressed weight space J Koutník, F Gomez, J Schmidhuber Proceedings of the Conference on Genetic and Evolutionary Computation (GECCO-10), 2010	96	2010

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

Follow

Cited by

Co-authors