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Natural Sciences and Engineering

Hugo Larochelle

Professeur associé

Faculté des arts et des sciences - Département d'informatique et de recherche opérationnelle

hugo.larochelle@umontreal.ca

Media

The Deep End of Deep Learning | Hugo Larochelle | TEDxBoston

Artificial Neural Networks are inspired by some of the "computations" that occur in human brains—real neural networks. In the past 10 years, much progress has been made with Artificial Neural Networks and Deep Learning due to accelerated computer power (GPUs), Open Source coding libraries that are being leveraged, and in-the-moment debates and corroborations via social media. Hugo Larochelle shares his observations of what’s been made possible with the underpinnings of Deep Learning.

TEDx Talks

Profile

Biography

Je suis responsable de l’équipe Google Brain basée à Montréal, professeur associé à l’Université de Montréal et Chaire en IA CIFAR-Canada. Ma recherche se spécialise dans l’étude et le développement de méthodes d’apprentissage profond.

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Affiliations and responsabilities

Teaching and supervision

Student supervision

Theses and dissertation supervision (Papyrus Institutional Repository)

2023

Contextual cues for deep learning models of code

Graduate : Shrivastava, Disha
Cycle : Doctoral
Grade : Ph. D.
2023

Remote sensing representation learning for a species distribution modeling case study

Graduate : Elkafrawy, Sara
Cycle : Master's
Grade : M. Sc.
2020

On challenges in training recurrent neural networks

Graduate : Anbil Parthipan, Sarath Chandar
Cycle : Doctoral
Grade : Ph. D.

Projects

Research projects

2019 - 2024

Union Neurosciences et Intelligence Artificielle Québec (UNIQUE) / Regroupements stratégiques

Lead researcher : Karim Jerbi
Co-researchers : Yoshua Bengio , Christian Casanova , Frédéric Gosselin , John Francis Kalaska , Philippe Langlais , Pierre Rainville , Richard Robitaille , Pierre Jolicoeur , Paul Cisek , Andrea Michelle Green , Simona Maria Brambati , Pascal Vincent , Pierre-Louis Bellec , Hugo Larochelle , Guillaume Lajoie , Julien Cohen-Adad , Frédéric Lesage , Alan C Evans , José Manuel Fernandez , Joelle Pineau , Maxime Descoteaux , Tal Arbel , Jean-Marc Lina , Farida Cheriet , Erik P. Cook , Christian Gagné , Yves De Koninck , Simon Duchesne , François Laviolette , Julien Doyon , Bratislav Misic , Paul De Koninck , Simon Hardy , Nicolas Doyon , Thomas R Shultz , Christopher Pack , Amir Shmuel , Nikola Stikov , Kevin Whittingstall , Habib Benali , Ismail Ben Ayed , Patrick Desrosiers , Jean-Baptiste Poline
Funding sources: FRQNT/Fonds de recherche du Québec - Nature et technologies (FQRNT)
Grant programs: PVXXXXXX-(RS) Programme de regroupements stratégiques
2017 - 2022

ICRA : Associate Director : Research Support

Lead researcher : Hugo Larochelle
Funding sources: CIFAR - Canadian Institute for Advanced Research/ Institut canadien des recherches avancées
Grant programs:

Outreach

Publications and presentations

Disciplines

  • Computer Science

Areas of expertise

  • Neural Networks
  • Deep learning
  • Machine learning
  • Big data
  • Artificial intelligence
  • Computer vision
  • Natural-language processing (NLP)