Yoshua Bengio

Professor of the Department of Computer Science and Operations Research, head of the Montreal Institute for Learning Algorithms (MILA), CIFAR Program co-director of the CIFAR program on Learning in Machines and Brains, and Canada Research Chair in Statistical Learning Algorithms., Ph.D. - McGill University.


Professor Bengio has recommended books in the following areas:

Machine Learning

Yoshua Bengio received a Ph.D. in Computer Science from McGill University, Canada in 1991. After two post-doctoral years, one at MIT with Michael Jordan and one at AT&T Bell Laboratories with Yann LeCun and Vladimir Vapnik, he became professor at the Department of Computer Science and Operations Research at Université de Montréal.

He is the author of two books and more than 200 publications, the most cited being in the areas of deep learning, recurrent neural networks, probabilistic learning algorithms, natural language processing and manifold learning. He is among the most cited Canadian computer scientists and is or has been associate editor of the top journals in machine learning and neural networks.

Since 2000 he holds a Canada Research Chair in Statistical Learning Algorithms, since 2006 an NSERC Industrial Chair, since 2005 his is a Senior Fellow of the Canadian Institute for Advanced Research and since 2014 he co-directs its program focused on deep learning. He is on the board of the NIPS foundation and has been program chair and general chair for NIPS. He has co-organized the Learning Workshop for 14 years and co-created the new International Conference on Learning Representations.

His current interests are centered around a quest for AI through machine learning, and include fundamental questions on deep learning and representation learning, the geometry of generalization in high-dimensional spaces, manifold learning, biologically inspired learning algorithms, and challenging applications of statistical machine learning.

Titles and Distinctions

  • Officer of the Order of Canada (2020)

  • Turing Award, 2019

  • Canada Gairdner Foundation Wightman Award (2019)

  • IEEE Neural Network Pioneer Award (2018)

  • IEEE/RSE James Clerk Maxwell Medal (2017)

  • Canada CIFAR AI Chair (2017-2022)

  • Fellow of the Association for Computational Linguistics (2016)

  • Fellow of the International Association for Pattern Recognition (2016)

  • Full Professor, University of Montreal, department of computer science and operations research (DIRO)

  • Canada Research Chair in Statistical Learning Algorithms (2003-2022)

  • NSERC-Ubisoft Industrial Research Chair

  • Member of the NIPS Foundation board

  • Recipient of the 2009 Urgel Archambault Prize from ACFAS (for researchers in physics, mathematics, computer science, or engineering)

  • Fellow of the Canadian Institute for Advanced Research (CIFAR) and co-director of its NCAP program (Neural Computation and Adaptive Perception)

  • Fellow of CIRANO (Interuniversity Centre of Research, Liaison, and Transfer of Knowledge on the Analysis of Organizations)