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.
Google Faculty Research Award, 2013 and 2012
NSERC Discovery Grant, 2012
AISTATS Notable Paper Award, 2011