Pascal Vincent, Université de Montréal

Research

Read how they describe their research on their Université de Montréal profile.

Apprentissage automatique Apprentissage de représentations Apprentissage profond Intelligence artificielle Mégadonnées Modèles statistiques Reconnaissance de formes Réseaux de neurones Algorithmique

Latest papers

fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.
Radiology. Artificial intelligence · 2020
Representation learning: a review and new perspectives.
IEEE transactions on pattern analysis and machine intelligence · 2013 · senior author
A connection between score matching and denoising autoencoders.
Neural computation · 2011 · first author

All 3 publications

Latest funding

High-performance computing environment to leverage deep learning technology for large biomedical and neuroimaging data
NSERC · 2016 · Co-investigator
$135,005
Software Infrastructure for Deep Learning
CFI · 2016 · Co-investigator
$2,000,000
Deep learning for cognitive computing
NSERC · 2015 · Co-investigator
$410,000

All 15 grants and awards

3 publications.

01

fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.

Knoll F, Zbontar J, Sriram A, Muckley MJ, Bruno M, Defazio A, Parente M, Geras KJ, Katsnelson J, Chandarana H, Zhang Z, Drozdzalv M, Romero A, Rabbat M, Vincent P, Pinkerton J, Wang D, Yakubova N, Owens E, Zitnick CL, Recht MP, Sodickson DK, Lui YW

Radiology. Artificial intelligence2020419 citationsOpen Access

DOI: 10.1148/ryai.2020190007 PMID: 32076662

02

Representation learning: a review and new perspectives.

Bengio Y, Courville A, Vincent P

IEEE transactions on pattern analysis and machine intelligence201313,351 citationsSenior author

DOI: 10.1109/tpami.2013.50 PMID: 23787338

03

A connection between score matching and denoising autoencoders.

Vincent P

Neural computation2011First author

DOI: 10.1162/neco_a_00142 PMID: 21492012

High-performance computing environment to leverage deep learning technology for large biomedical and neuroimaging data

Co-investigatorNSERC2016Research Tools and Instruments

Principal investigators: Bengio, Yoshua

$135,005

Software Infrastructure for Deep Learning

Co-investigatorCFI2016Cyberinfrastructure Initiative: Cyberinfrastructure Initiative - Challenge 1 - Competition 1

Principal investigators: Bengio, Yoshua

Keywords: machine learning, deep learning, artificial intelligence, medicine GPUs, high-level language, automatic differentiation,deep learning library

$2,000,000

Deep learning for cognitive computing

Co-investigatorNSERC2015Collaborative Research and Development Grants

Principal investigators: Bengio, Yoshua

$410,000

Leveraging the manifold hypothesis for learning representations in deep neural networks

Principal investigatorNSERC2013Discovery Grants Program - Individual

Principal investigators: Vincent, Pascal

$125,000

Learning representations of players' emotions and state for next generation gaming

Principal investigatorNSERC2013Collaborative Research and Development Grants

Principal investigators: Vincent, Pascal

$104,346

Large-Scale Deep Learning for Content-Based Recommendation Systems

Co-investigatorNSERC2013Strategic Projects - Group

Principal investigators: Bengio, Yoshua

$383,826

Environnements d'analyse et de conception des jeux vidéo intelligents

Co-investigatorCFI2012Innovation Fund: New Initiatives Fund (2012 competition)

Principal investigators: Frasson, Claude

Keywords: ondes cérébrales, conception de jeux vidéo intelligents,apprentissage machine, interfaces humain-machine, stimuli émotionnels, analyse cognitive casques EEG, capteurs de regards, caméras thermiques,calculateurs puissants

$425,000

Apprendre à miser dans des enchères publicitaires pour la publicité internet

Principal investigatorNSERC2011Engage Grants Program

Principal investigators: Vincent, Pascal

$23,500

Traquer le budget d'une campagne publicitaire internet avec mises adaptatives

Principal investigatorNSERC2011Engage Grants Program

Principal investigators: Vincent, Pascal

$25,000

GPUs for unsupervised learning of representations

Co-investigatorNSERC2010Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Bengio, Yoshua

$111,762

From public funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998 with their latest competition results, the Canada Foundation for Innovation, Genome Canada, the Canadian Space Agency, Canada Research Chairs, the Fonds de recherche du Québec, Ontario research funding, Michael Smith Health Research BC, the Canadian Cancer Society, Heart & Stroke and Brain Canada.

Frequent collaborators

Département d’informatique et de recherche opérationnelle

Co-authors at Université de Montréal, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Michael Rabbat

Department of Electrical and Computer Engineering

1 shared papers, latest 2020

Aaron Courville

Département d’informatique et de recherche opérationnelle

1 shared papers, latest 2013

Yoshua Bengio

Département d’informatique et de recherche opérationnelle

1 shared papers, latest 2013

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Paper to mention

Subject: Prospective PhD student: Apprentissage automatique Dear Professor Vincent, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning." (2020), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]