Hot Stuff

Tutorial at IJCAI'2018 on Deep Learning for AI, July 13th, 2018.

Call for an International Ban on the Weaponization of Artificial Intelligence, AI Researchers ask the Canadian government to act at the UN in an open letter which you can sign too.

Two faculty positions opened at MILA for the CS department (DIRO) with possibility of obtaining a CIFAR AI Chair.

Video of my keynote at the first Cognitive and Computational Neuroscience conference at Columbia University on September 8, 2017.

Montreal AI Symposium, 26 Sept 2017.

Upcoming Montreal Deep Learning Summit, 10-11 Oct 2017, with Geoff Hinton, Yann LeCun and Yoshua Bengio

Call for participation at the 2017 Montreal Deep Learning Summer School and Reinforcement Learning Summer School. and its video lectures.

Participation at the Beneficial AI Conference, with video of my presentation.

New machine learning faculty position at MILA

Introductory articles in Scientific American about Deep Learning and AI.

More research highlights and selected recent papers

Recruitment: there are available positions at all levels (MSc, PhD, post-doc, interns).

Nature paper on Deep Learning by Yann LeCun, Yoshua Bengio and Geoff Hinton (pdf)

NIPS'2015 Deep Learning Tutorial and the block of slides for the vision part.

NIPS'2014 Deep Learning and Representation Learning Workshop

Deep Learning - an MIT Press book now for sale.

ICLR: the International Conference on Learning Representations

2012 Review paper (published 2013 in PAMI) on Representation Learning

2012 review paper on Practical recommendations for gradient-based training of deep architectures

2009 Review paper / monograph on learning algorithms for deep architectures (pdf)

YB interviewed by Wired on Deep Learning and AI, June 27th, 2013.

YB interviewed at Radio-Canada national French-language TV, broadcast April 7, 2013.


Yoshua Bengio  

Yoshua Bengio
Full Professor
Department of Computer Science and Operations Research
Canada Research Chair in Statistical Learning Algorithms
<my first name> (dot) <my last name> (at sign)



To research highlights and selected recent papers

Students and interns at all levels (undergrad, MSc, PhD, postdoc) interested in coming to MILA please follow the instructions on the MILA admissions page


Yoshua Bengio (computer science PhD, 1991, McGill U; post-docs at MIT and Bell Labs, computer science professor at U. Montréal since 1993): he authored three books, over 500 publications (h-index 125, more than 135,000 citations), mostly in deep learning, holds a Canada Research Chair in Statistical Learning Algorithms, is Officer of the Order of Canada, recipient of the Marie-Victorin Quebec Prize 2017, Fellow of the Royal Society of Canada, and he is a CIFAR Senior Fellow and co-directs its Learning in Machines and Brains program. He is scientific director of the Mila, currently the largest academic research group on deep learning. He is on the NIPS foundation board (previously program chair and general chair), co-created the ICLR conference (specialized in deep learning) and is scientific co-director of IVADO. He pioneered deep learning and his goal is to contribute to uncover the principles giving rise to intelligence through learning, as well as favour the development of AI for the benefit of all.

From Artificial Intelligence to the Collective


E-mail (best way to reach me):
    <my first name> (dot) <my last name> (at sign)

  Department Fax: 514 343 5834
  Cell phone: upon request

  Regular mail should go to this post-office box:
Département d’Informatique et de recherche opérationnelle
Université de Montréal, P.O. Box 6128, Centre-Ville Branch
Montréal (QC), H3C 3J7, Canada
  Express mail should go to this street address:
Département d’Informatique et de recherche opérationnelle
Université de Montréal, 2920 chemin de la Tour, suite 2194,
Montréal (QC), H3T 1J4, Canada

In person:
2920 chemin de la Tour, Montréal,
Pavillon André-Aisenstadt, 3rd floor,
office in room 3243 or labs in the area


Web site design: Myriam Côté.