Pascal Vincent

RESEARCH SCIENTIST | MONTREAL, CANADA

Pascal Vincent is a Research Scientist at Facebook AI Research (FAIR) in Montreal, as well as an Associate Professor in the Department of Computer Science and Operations Research at Université de Montréal, a founding member of the Montreal Institute for Learning Algorithms (MILA) and Associate Fellow in the Canadian Institute for Advanced Research (CIFAR / Learning Machines and Brains program). Pascal has been conducting research on artificial neural networks since 1995 and completed a PhD in computer-science/machine-learning at Université de Montréal under the direction of Yoshua Bengio in 2004. Pascal's primary research focus is the development of original approaches for representation learning that aim to be both statistically and computationally efficient, in order to enable the learning of more meaningful and practically useful representations across multiple application domains such as vision and language understanding.

Pascal's Publications

June 18, 2023

CORE MACHINE LEARNING

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

Mido Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Mike Rabbat, Yann LeCun, Nicolas Ballas

June 18, 2023

November 08, 2022

CORE MACHINE LEARNING

Understanding contrastive versus reconstructive self-supervised learning of Vision Transformers

Ari Morcos, Florian Bordes, Pascal Vincent, Shashank Shekhar

November 08, 2022

July 06, 2022

Guillotine Regularization: Improving Deep Networks Generalization by Removing their Head

Pascal Vincent, Adrien Bardes, Florian Bordes, Quentin Garrido, Randall Balestriero

July 06, 2022

December 03, 2020

RESEARCH

CORE MACHINE LEARNING

Adversarial Example Games

Pascal Vincent, Hugo Berard, Andre Cianflone, Gauthier Gidel, Joey Bose, Simon Lacoste-Julien, Will Hamilton

December 03, 2020

July 09, 2020

RESEARCH

ML APPLICATIONS

Stochastic Hamiltonian Gradient Methods for Smooth Games

Pascal Vincent, Hugo Bérard, Alexia Jolicoeur-Martineau, Ioannis Mitliagkas, Nicolas Loizou, Simon Lacoste-Julien

July 09, 2020

April 17, 2020

RESEARCH

A Closer Look at the Optimization Landscapes of Generative Adversarial Networks

Pascal Vincent, Hugo Bérard, Amjad Almahairi, Gauthier Gidel, Simon Lacoste-Julien

April 17, 2020

June 10, 2019

RESEARCH

COMPUTER VISION

Unreproducible Research is Reproducible

Pascal Vincent, César Laurent, Xavier Bouthillier

June 10, 2019

May 10, 2019

RESEARCH

COMPUTER VISION

Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition

Michal Drozdzal, Adriana Romero Soriano, Pascal Vincent, Lin Yang, Matthiew Muckley, Zizhao Zhang

May 10, 2019

April 30, 2019

RESEARCH

A Variational Inequality Perspective on Generative Adversarial Networks

Pascal Vincent, Hugo Bérard, Gauthier Gidel (lead author), Gaëtan Vignoud, Simon Lacoste-Julien

April 30, 2019

December 06, 2018

RESEARCH

NLP

Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis

Pascal Vincent, Nicolas Ballas, César Laurent , Thomas George, Xavier Bouthillier

December 06, 2018

July 11, 2018

RESEARCH

Convergent Tree Backup and Retrace with Function Approximation

Pascal Vincent, Ahmed Touati, Doina Precup, Pierre-Luc Bacon

July 11, 2018

May 01, 2018

RESEARCH

NLP

An Evaluation of Fisher Approximations Beyond Kronecker Factorization

Pascal Vincent, Nicolas Ballas, Cesar Laurent, Thomas George, Xavier Bouthillier

May 01, 2018