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Hugo Larochelle

LMB_HugoLarochelle

Appointment

  • Associate Program Director
  • Learning in Machines & Brains

Institution

  • Université de Sherbrooke
Department of Computer Science

Country

  • Canada

Education

PhD (Computer Science), Université de Montreal
MSc (Computer science), Université de Montreal
BS (Mathematics and Computer Science), Université de Montreal

About

Hugo Larochelle is a computer scientist whose research focuses on machine learning, i.e., on the development of algorithms capable of extracting concepts and abstractions from data.

He is particularly interested in deep neural networks, mostly applied in the context of big data and to artificial intelligence problems such as computer vision and natural language processing.

More specifically, his research mainly addresses the following topics:

Tasks – supervised, semi-supervised and unsupervised learning, structured output prediction, ranking, density estimation;

Models – deep learning, neural networks, autoencoders, Boltzmann machines, Markov random fields;

Applications – object recognition and tracking, document classification, information retrieval.

Awards

Google Faculty Research Award, 2013 and 2012

NSERC Discovery Grant, 2012

AISTATS Notable Paper Award, 2011

Relevant Publications

Bengio, Y. et al. "Greedy layer-wise training of deep networks." Adv. Neural Inf. Process. Syst 19 (January 2007).

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ResearchGate