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All publications by Aaron C. Courville
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A Recurrent Latent Variable Model for Sequential Data
Junyoung Chung, Kyle Kastner, Laurent Dinh, Kratarth Goel, Aaron C. Courville and Yoshua Bengio
Advances in Neural Information Processing Systems 28, 2015


Large-Scale Feature Learning With Spike-and-Slab Sparse Coding
Ian Goodfellow, Yoshua Bengio and Aaron C. Courville
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


On Tracking The Partition Function
Guillaume Desjardins, Yoshua Bengio and Aaron C. Courville
Advances in Neural Information Processing Systems 24, 2011


Unsupervised Models of Images by Spike-and-Slab RBMs
Yoshua Bengio, Aaron C. Courville and James S. Bergstra
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Spike and Slab Restricted Boltzmann Machine
Aaron C. Courville, James Bergstra and Yoshua Bengio
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Why Does Unsupervised Pre-training Help Deep Learning?
Dumitru Erhan, Aaron C. Courville, Yoshua Bengio and Pascal Vincent
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio, Pascal Vincent and Olivier Delalleau
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism
Douglas Eck, Yoshua Bengio and Aaron C. Courville
Advances in Neural Information Processing Systems 22, 2009


An empirical evaluation of deep architectures on problems with many factors of variation
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville, James Bergstra and Yoshua Bengio
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


The rat as particle filter
Aaron C. Courville and Nathaniel D. Daw
Advances in Neural Information Processing Systems 20, 2007


Similarity and Discrimination in Classical Conditioning: A Latent Variable Account
Aaron C. Courville, Nathaniel D. Daw and David S. Touretzky
Advances in Neural Information Processing Systems 17, 2004


Model Uncertainty in Classical Conditioning
Aaron C. Courville, Geoffrey J. Gordon, David S. Touretzky and Nathaniel D. Daw
Advances in Neural Information Processing Systems 16, 2003


Timing and Partial Observability in the Dopamine System
Nathaniel D. Daw, Aaron C. Courville and David S. Touretzky
Advances in Neural Information Processing Systems 15, 2002


Modeling Temporal Structure in Classical Conditioning
Aaron C. Courville and David S. Touretzky
Advances in Neural Information Processing Systems 14, 2001