Lbadikho: /* Professional activities */ references for committees, board memberships etc.
Samy Bengio is a Canadian computer scientist known for co-founding [[Google Brain]]<ref>Liquid error: wrong number of arguments (given 1, expected 2)</ref> and leading a large group of researchers conducting research in many areas of [[machine learning]] such as deep architectures, representation learning, sequence processing, speech recognition, image understanding, large-scale problems, [[Adversarial machine learning|adversarial settings]].
== Education ==
Bengio obtained his Ph.D. in Computer Science in 1993 with a thesis titled ''Optimization of a Parametric Learning Rule for Neural Networks'' from the [[Université de Montréal]]. Before that, Bengio got an M.Sc. in Computer Science in 1989 with a thesis on ''Integration of Traditional and Intelligence Tutoring Systems'' from the same university, together with a B.Sc. in Computer Science in 1986.
== Professional activities ==
Bengio was the general chair for the Conference on [[Conference on Neural Information Processing Systems|Neural Information Processing Systems]] (NeurIPS) in 2018<ref></ref>, the main conference venue for machine learning, was the program chair for NeurIPS in 2017<ref></ref> and currently sits in its board members<ref></ref>. He is action editor of the [[Journal of Machine Learning Research]] and on the editorial board of the [[Machine Learning (journal)|Machine Learning Journal]], was program chair of the [[International Conference on Learning Representations]] (ICLR 2015, 2016), general chair of BayLearn (2012-2015) and the Workshops on Machine Learning for Multimodal Interactions (MLMI'2004-2006), as well as the IEEE Workshop on Neural Networks for Signal Processing (NNSP'2002), and on the program committee of several international conferences such as NeurIPS, ICML, ICLR, ECML and IJCAI<ref> Simons Institute for the Theory of Computing|url=https://simons.berkeley.edu/people/samy-bengio|access-date=2021-02-23|website=simons.berkeley.edu}}</ref>.
== Education ==
Bengio obtained his Ph.D. in Computer Science in 1993 with a thesis titled ''Optimization of a Parametric Learning Rule for Neural Networks'' from the [[Université de Montréal]]. Before that, Bengio got an M.Sc. in Computer Science in 1989 with a thesis on ''Integration of Traditional and Intelligence Tutoring Systems'' from the same university, together with a B.Sc. in Computer Science in 1986.
== Professional activities ==
Bengio was the general chair for the Conference on [[Conference on Neural Information Processing Systems|Neural Information Processing Systems]] (NeurIPS) in 2018<ref></ref>, the main conference venue for machine learning, was the program chair for NeurIPS in 2017<ref></ref> and currently sits in its board members<ref></ref>. He is action editor of the [[Journal of Machine Learning Research]] and on the editorial board of the [[Machine Learning (journal)|Machine Learning Journal]], was program chair of the [[International Conference on Learning Representations]] (ICLR 2015, 2016), general chair of BayLearn (2012-2015) and the Workshops on Machine Learning for Multimodal Interactions (MLMI'2004-2006), as well as the IEEE Workshop on Neural Networks for Signal Processing (NNSP'2002), and on the program committee of several international conferences such as NeurIPS, ICML, ICLR, ECML and IJCAI<ref> Simons Institute for the Theory of Computing|url=https://simons.berkeley.edu/people/samy-bengio|access-date=2021-02-23|website=simons.berkeley.edu}}</ref>.
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