Faustino Gomez

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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
Alex GravesUniversity of TorontoVerified email at cs.toronto.edu
Jonathan MasciNNAISENSE SAVerified email at nnaisense.com
Giuseppe CuccuUniversity of FribourgVerified email at unifr.ch
Santiago FernandezIK4-TeknikerVerified email at tekniker.es
Yi SunGoogleVerified email at idsia.ch
Rupesh Kumar SrivastavaNNAISENSEVerified email at nnaisense.com
Matteo GaglioloAssociate Professor. GERME, Institute of Sociology, Université libre de Bruxelles, Brussels, BelgiumVerified email at ulb.ac.be
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
Wojciech JaśkowskiSnowflakeVerified email at snowflake.com
Julian TogeliusAssociate Professor of Computer Science and Engineering, New York University; co-founder, modl.aiVerified email at nyu.edu
Marco GallieriSenior Data Scientist, DXT Commodities. Former F1 Engineer, Cambridge PhD.Verified email at nnaisense.com
Mark RingIDSIAVerified email at markring.com
Doug BurgerCorporate VP, Managing Director, Microsoft Research CoreVerified email at microsoft.com
Marco CicconePostdoctoral Fellow, Vector InstituteVerified email at vectorinstitute.ai
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


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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	7259	2006
A Clockwork RNN J Koutnik, K Greff, F Gomez, J Schimdhuber International Conference on Machine Learning (ICML), 2014	707	2014
Incremental evolution of complex general behavior F Gomez, R Miikkulainen Adaptive Behavior 5 (3-4), 317-342, 1997	615	1997
Accelerated Neural Evolution through Cooperatively Coevolved Synapses. F Gomez, J Schmidhuber, R Miikkulainen Journal of Machine Learning Research 9 (5), 2008	401	2008
Solving non-Markovian control tasks with neuroevolution FJ Gomez, R Miikkulainen IJCAI 99, 1356-1361, 1999	353	1999
Training recurrent networks by evolino J Schmidhuber, D Wierstra, M Gagliolo, F Gomez Neural Computation 19 (3), 757-779, 2007	336	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	335	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	304	2008
Compete to compute RK Srivastava, J Masci, S Kazerounian, F Gomez, J Schmidhuber Advances in neural information processing systems 26, 2013	248	2013
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	242	2013
Model-based active exploration P Shyam, W Jaśkowski, F Gomez International conference on machine learning, 5779-5788, 2019	230	2019
Robust non-linear control through neuroevolution FJ Gomez Computer Science Department, University of Texas, 2003	213	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	192	2011
Efficient non-linear control through neuroevolution F Gomez, J Schmidhuber, R Miikkulainen European Conference on Machine Learning, 654-662, 2006	183	2006
Active guidance for a finless rocket using neuroevolution F Gomez, R Miikkulainen International Conference on Genetic and Evolutionary Computation—GECCO 2003 …, 2003	176	2003
Evolino: Hybrid neuroevolution/optimal linear search for sequence prediction J Schmidhuber, D Wierstra, FJ Gomez Proceedings of the 19th International Joint Conferenceon Artificial …, 2005	153	2005
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	152	2014
When novelty is not enough G Cuccu, F Gomez Evostar 2011 (Turin), 234-243, 2011	134	2011
Co-evolving recurrent neurons learn deep memory POMDPs FJ Gomez, J Schmidhuber Proceedings of the 2005 Conference on Genetic and Evolutionary Computation …, 2005	108	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	107	2010

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