Aaron Courville

Bio Outline

Appointment

  • Fellow
  • Learning in Machines & Brains

Institution

  • Université de Montréal
Department of Computer Science and Operations Research

Country

  • Canada

Education

PhD (Computer Science), Carnegie Mellon University
MASc, University of Toronto
BASc (Engineering Science), University of Toronto

About

Aaron Courville is a computer scientist whose current research focuses on the development of deep learning models and methods.

He is particularly interested in developing probabilistic models and novel inference methods. While he has mainly focused on applications to computer vision, he is also interested in other domains such as natural language processing, audio signal processing, speech understanding and just about any other artificial-intelligence-related task.

Awards

Winning Team Member of the Transfer Learning Challenge, ICML Workshop, 2011

Winning Team Member of the Unsupervised and Transfer Learning Challenge Phase II, NIPS, 2011

Relevant Publications

Erhan, D. et al. "Why does unsupervised pre-training help deep learning?" J. Machine Learning Research 11 (2010): 625–60.

Connect

Website