Hot Stuff


Introductory articles in Scientific American about Deep Learning and AI.

Announcing the Deep Learning Summer School 2016!

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 in preparation

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) umontreal (dot) ca

 

 

To research highlights and selected recent papers



Profile

Yoshua Bengio is Full 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 Neural Computation and Adaptive Perception program,  Canada Research Chair in Statistical Learning Algorithms. His main research ambition is to understand principles of learning that yield intelligence. He teaches a graduate course in Machine Learning (IFT6266) and supervises a large group of graduate students and post-docs. His research is widely cited (over 40000 citations found by Google Scholar in mid-2016, with an H-index of 84).

Yoshua Bengio is currently action editor for the Journal of Machine Learning Research, associate editor for the Neural Computation journal, editor for Foundations and Trends in Machine Learning, and has been associate editor for the Machine Learning Journal and the IEEE Transactions on Neural Networks.

Yoshua Bengio was Program Chair for NIPS'2008 and General Chair for NIPS'2009 (NIPS is the flagship conference in the areas of learning algorithms and neural computation). Since 1999, he has been co-organizing the Learning Workshop with Yann Le Cun, with whom he has also created the International Conference on Representation Learning (ICLR). He has also organized or co-organized numerous other events, principally the deep learning workshops and symposiua at NIPS and ICML since 2007.


Connectivity
From Artificial Intelligence to the Collective


 
Contact

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

Phone:
  Office: 514 343 6804
  Department Fax: 514 343 5834
  Cell phone: upon request

Snail-mail:
  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


 


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