Faustino Gomez 个人学术档案

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	总计	2019 年至今
引用	12920	7899
h 指数	33	22
i10 指数	51	33

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Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of Lugano在 kaust.edu.sa 的电子邮件经过验证
Risto MiikkulainenProfessor of Computer Science, the University of Texas at Austin在 cs.utexas.edu 的电子邮件经过验证
Jan KoutníkDirector of Intelligent Automation, NNAISENSE在 idsia.ch 的电子邮件经过验证
Alex GravesUniversity of Toronto在 cs.toronto.edu 的电子邮件经过验证
Jonathan MasciNNAISENSE SA在 nnaisense.com 的电子邮件经过验证
Giuseppe CuccuUniversity of Fribourg在 unifr.ch 的电子邮件经过验证
Santiago FernandezIK4-Tekniker在 tekniker.es 的电子邮件经过验证
Yi SunGoogle在 idsia.ch 的电子邮件经过验证
Rupesh Kumar SrivastavaNNAISENSE在 nnaisense.com 的电子邮件经过验证
Matteo GaglioloAssociate Professor. GERME, Institute of Sociology, Université libre de Bruxelles, Brussels, Belgium在 ulb.ac.be 的电子邮件经过验证
Tom SchaulSenior Staff Scientist, DeepMind在 nyu.edu 的电子邮件经过验证
Marijn StollengaIDSIA/Supsi, USI在 imfusion.com 的电子邮件经过验证
Klaus GreffResearch Scientist at Google Brain在 usi.ch 的电子邮件经过验证
Wojciech JaśkowskiSnowflake在 snowflake.com 的电子邮件经过验证
Julian TogeliusAssociate Professor of Computer Science and Engineering, New York University; co-founder, modl.ai在 nyu.edu 的电子邮件经过验证
Marco GallieriSenior Data Scientist, DXT Commodities. Former F1 Engineer, Cambridge PhD.在 nnaisense.com 的电子邮件经过验证
Mark RingIDSIA在 markring.com 的电子邮件经过验证
Doug BurgerCorporate VP, Managing Director, Microsoft Research Core在 microsoft.com 的电子邮件经过验证
Marco CicconePostdoctoral Researcher at Politecnico di Torino在 polito.it 的电子邮件经过验证
Christian Osendorfer (Dr.)former TU München在 in.tum.de 的电子邮件经过验证

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Faustino Gomez

CEO NNAISENSE SA. Former Senior Researcher, IDSIA, Switzerland

在 idsia.ch 的电子邮件经过验证

AI Neural Networks Evolutionary Reinforcement Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	6742	2006
A Clockwork RNN J Koutnik, K Greff, F Gomez, J Schimdhuber International Conference on Machine Learning (ICML), 2014	669	2014
Incremental evolution of complex general behavior F Gomez, R Miikkulainen Adaptive Behavior 5 (3-4), 317-342, 1997	612	1997
Accelerated Neural Evolution through Cooperatively Coevolved Synapses. F Gomez, J Schmidhuber, R Miikkulainen Journal of Machine Learning Research 9 (5), 2008	395	2008
Solving non-Markovian control tasks with neuroevolution FJ Gomez, R Miikkulainen IJCAI 99, 1356-1361, 1999	348	1999
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	322	2014
Training recurrent networks by evolino J Schmidhuber, D Wierstra, M Gagliolo, F Gomez Neural Computation 19 (3), 757-779, 2007	322	2007
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	292	2008
Compete to compute RK Srivastava, J Masci, S Kazerounian, F Gomez, J Schmidhuber Advances in neural information processing systems 26, 2013	239	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	237	2013
Robust non-linear control through neuroevolution FJ Gomez Computer Science Department, University of Texas, 2003	212	2003
Model-based active exploration P Shyam, W Jaśkowski, F Gomez International conference on machine learning, 5779-5788, 2019	205	2019
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	189	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	169	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	150	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	149	2014
When novelty is not enough G Cuccu, F Gomez Evostar 2011 (Turin), 234-243, 2011	130	2011
Co-evolving recurrent neurons learn deep memory POMDPs FJ Gomez, J Schmidhuber Proceedings of the 2005 Conference on Genetic and Evolutionary Computation …, 2005	106	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	104	2010

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