Dr. Aaron Courville is a Canadian computer scientist and an Assistant Professor in the Department of Computer Science and Operations Research at the University of Montréal, Montréal, Canada.
Aaron Courville earned his Bachelor of Science in Electrical Engineering in 1997 and Master of Science in Electrical Engineering in 1999 in the University of Toronto and his PhD in Computer Science at the Robotics Institute, School of Computer Science and Center for the Neural Basis of Cognition , Carnegie Mellon University, Pittsburgh, USA in 2005.
Aaron Courville is a faculty member at the Montreal Institute for Learning Algorithms (MILA), Fellow at the Canadian Institute for Advanced Research (CIFAR) and a laboratory scientist at Creative Destruction Lab. His current research focuses on the advancement of deep learning models and methods. He is interested in improving probabilistic models and novel inference methods. While mainly focusing on applications to computer vision, he is also interested in areas such as natural language processing, audio signal processing, speech understanding and other artificial intelligence related tasks.
His works include, book chapters in Deep Learning of Representations with Yoshua Bengio; Semi-Rational Models of Conditioning: The Case of Trial Order. Technical reports, The Statistical Inefficiency of Sparse Coding for Images; Understanding Representations Learned in Deep Architectures; Tempered
Markov Chain Monte Carlo for training of Restricted Boltzmann Machines; and Visualizing Higher-Layer Features of a Deep Network.
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