Pascal Vincent

Mila > About Mila > Team > Pascal Vincent
Core Industry Member
Pascal Vincent
Associate Professor, Université de Montréal, Facebook
Pascal Vincent

My research interests are centered around discovering fundamental computational principles that underlie the extraordinary capabilities to learn from the environment, understand it and adapt to it that characterize intelligence. The development of novel machine learning algorithms based on such principles, and trained on very large data sets, is at the heart of the latest technological breakthroughs in artificial intelligence.

More specifically, I research how higher level representations that carry meaning can be constructed autonomously, starting from streams of raw sensory input (such as images and sounds). Similarly to what our brain’s neural networks naturally know how to do, this amounts to intelligently modeling the structure of the observed reality, by discovering and exploiting hidden and complex statistical regularities that it follows.

Publications

2021-03

Accounting for Variance in Machine Learning Benchmarks
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gael Varoquaux and Pascal Vincent
Proceedings of Machine Learning and Systems
(2021-03-15)
proceedings.mlsys.orgPDF
Accounting for Variance in Machine Learning Benchmarks.
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Naz Sepah, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux and Pascal Vincent
arXiv: Learning
(2021-03-04)
arxiv.orgPDF
Online Adversarial Attacks.
Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent and Gauthier Gidel
arXiv preprint arXiv:2103.02014
(2021-03-02)
arxiv.orgPDF

2020-11

Do sequence-to-sequence VAEs learn global features of sentences?
Tom Bosc and Pascal Vincent
EMNLP 2020
(2020-11-01)
dblp.uni-trier.de

2020-10

Efficient Learning in Non-Stationary Linear Markov Decision Processes.
Ahmed Touati and Pascal Vincent
arXiv: Learning
(2020-10-26)
arxiv.orgPDF

2020-08

Implicit Regularization via Neural Feature Alignment.
Aristide Baratin, Thomas George, César Laurent, R Devon Hjelm, Guillaume Lajoie, Pascal Vincent and Simon Lacoste-Julien
arXiv: Learning
(2020-08-03)
arxiv.orgPDF
Implicit Regularization in Deep Learning: A View from Function Space
Aristide Baratin, Thomas George, César Laurent, R Devon Hjelm, Guillaume Lajoie, Pascal Vincent and Simon Lacoste-Julien
arXiv preprint arXiv:2008.00938
(2020-08-03)
www.microsoft.comPDF

2020-07

Stochastic Hamiltonian Gradient Methods for Smooth Games
Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien and Ioannis Mitliagkas
SVRG for Policy Evaluation with Fewer Gradient Evaluations
Zilun Peng, Ahmed Touati, Pascal Vincent and Doina Precup
Sharp Analysis of Smoothed Bellman Error Embedding.
Ahmed Touati and Pascal Vincent
arXiv preprint arXiv:2007.03749
(2020-07-07)
dblp.uni-trier.dePDF
Adversarial Example Games.
Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien and William L. Hamilton
arXiv preprint arXiv:2007.00720
(2020-07-01)
dblp.uni-trier.dePDF

2020-06

Revisiting Loss Modelling for Unstructured Pruning.
César Laurent, Camille Ballas, Thomas George, Nicolas Ballas and Pascal Vincent
arXiv preprint arXiv:2006.12279
(2020-06-22)
dblp.uni-trier.dePDF

2020-04

A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
Hugo Berard, Gauthier Gidel, Amjad Almahairi, Pascal Vincent and Simon Lacoste-Julien
Do sequence-to-sequence VAEs learn global features of sentences?
Tom Bosc and Pascal Vincent
arXiv preprint arXiv:2004.07683
(2020-04-16)
dblp.uni-trier.dePDF

2020-03

Stable Policy Optimization via Off-Policy Divergence Regularization.
Ahmed Touati, Amy Zhang, Joelle Pineau and Pascal Vincent
arXiv preprint arXiv:2003.04108
(2020-03-09)
ui.adsabs.harvard.eduPDF

2020-01

fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.
Florian Knoll, Jure Zbontar, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzalv, Adriana Romero, Michael Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick... (3 more)
Radiology. Artificial intelligence
(2020-01-29)
pubs.rsna.org
Adversarial Example Games
Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien and Will Hamilton
NEURIPS 2020
(2020-01-01)
papers.nips.cc
Stable Policy Optimization via Off-Policy Divergence Regularization.
Ahmed Touati, Amy Zhang, Joelle Pineau and Pascal Vincent
UAI 2020
(2020-01-01)
dblp.uni-trier.dePDF

2019-07

An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation.
Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal and Doina Precup
arXiv preprint arXiv:1908.00061
(2019-07-31)
dblp.uni-trier.dePDF

2019-06

Unreproducible research is reproducible
Xavier Bouthillier, César Laurent and Pascal Vincent
ICML 2019
(2019-06-09)
proceedings.mlr.pressPDF

2019-05

A Variational Inequality Perspective on Generative Adversarial Networks
Gauthier Gidel, Hugo Berard, Gaëtan Vignoud, Pascal Vincent and Simon Lacoste-Julien
ICLR 2019
(2019-05-06)
iclr.ccPDF

2019-02

Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition
Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang and Michal Drozdzal

2019-01

Stochastic Neural Network with Kronecker Flow.
Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste and Aaron C. Courville

2018-12

Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis
Thomas George, César Laurent, Xavier Bouthillier, Nicolas Ballas and Pascal Vincent

2018-11

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Jure Zbontar, Florian Knoll, Anuroop Sriram, Tullie Murrell, Zhengnan Huang, Matthew J. Muckley, Aaron Defazio, Ruben Stern, Patricia Johnson, Mary Bruno, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael Rabbat, Pascal Vincent, Nafissa Yakubova... (7 more)
arXiv preprint arXiv:1811.08839
(2018-11-21)
ui.adsabs.harvard.eduPDF

2018-10

Auto-Encoding Dictionary Definitions into Consistent Word Embeddings
Tom Bosc and Pascal Vincent
EMNLP 2018
(2018-10-31)
emnlp2018.org

2018-07

Convergent Tree-Backup and Retrace with Function Approximation
ICML 2018
(2018-07-10)
proceedings.mlr.pressPDF

2018-06

Improving Landmark Localization with Semi-Supervised Learning
Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Pal and Jan Kautz
CVPR 2018
(2018-06-18)
openaccess.thecvf.comPDF
Randomized Value Functions via Multiplicative Normalizing Flows
Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau and Pascal Vincent

2018-04

Iteratively unveiling new regions of interest in Deep Learning models
Florian Bordes, Tess Berthier, Lisa Di Jorio, Pascal Vincent and Yoshua Bengio
(venue unknown)
(2018-04-11)
openreview.netPDF

2018-02

A Variational Inequality Perspective on Generative Adversarial Nets
arXiv preprint arXiv:1802.10551
(2018-02-28)
export.arxiv.orgPDF
Parametric Adversarial Divergences are Good Task Losses for Generative Modeling
Gabriel Huang, Hugo Berard, Ahmed Touati, Gauthier Gidel, Pascal Vincent and Simon Lacoste-Julien
ICLR 2018
(2018-02-15)
ui.adsabs.harvard.eduPDF
Learning to Compute Word Embeddings On the Fly
Dzmitry Bahdanau, Tom Bosc, Stanisław Jastrzębski, Edward Grefenstette, Pascal Vincent and Yoshua Bengio
arXiv preprint arXiv:1706.00286
(2018-02-15)
ui.adsabs.harvard.eduPDF
An Evaluation of Fisher Approximations Beyond Kronecker Factorization
César Laurent, Thomas George, Xavier Bouthillier, Nicolas Ballas and Pascal Vincent
ICLR 2018
(2018-02-12)
dblp.uni-trier.de

Publications collected and formatted using Paperoni

array(1) { ["wp-wpml_current_language"]=> string(2) "en" }