Aaron Courville
First name(s): Aaron
Last name(s): Courville

Publications of Aaron Courville
2012
Guillaume Desjardins, Aaron Courville and Yoshua Bengio, On Training Deep Boltzmann Machines, Université de Montréal, number arXiv:1203.4416v1, 2012
download
[URL]
2011
Aaron Courville, James Bergstra and Yoshua Bengio, A Spike and Slab Restricted Boltzmann Machine, in: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
download
Ian Goodfellow, Aaron Courville and Yoshua Bengio, Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery, in: NIPS Workshop on Challenges in Learning Hierarchical Models, 2011
Aaron Courville, James Bergstra and Yoshua Bengio, Unsupervised Models of Images by Spike-and-Slab RBMs, in: Proceedings of the Twenty-eight International Conference on Machine Learning (ICML'11), 2011
download
2010
Guillaume Desjardins, Aaron Courville, Yoshua Bengio, Pascal Vincent and Olivier Delalleau, Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machine, in: JMLR W\&CP: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), Chia Laguna Resort, Sardinia, Italy, pages 145--152, 2010
download
Aaron Courville, James Bergstra and Yoshua Bengio, The Spike and Slab Restricted Boltzmann Machine, Deep Learning and Unsupervised Feature Learning Workshop, {NIPS}, 2010
[URL]
Dumitru Erhan, Aaron Courville, Yoshua Bengio and Pascal Vincent, Why Does Unsupervised Pre-training Help Deep Learning?, in: JMLR W\&CP: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), Chia Laguna Resort, Sardinia, Italy, pages 201-208, 2010
download
2009
Aaron Courville, Douglas Eck and Yoshua Bengio, An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism, in: Neural Information Processing Systems Conference (NIPS) 22, pages 405--413, "", 2009
download
[URL]
Guillaume Desjardins, Aaron Courville, Yoshua Bengio, Pascal Vincent and Olivier Delalleau, Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines, Département d'Informatique et de Recherche Opérationnelle, Université de Montréal, number 1345, 2009
download
2007
Hugo Larochelle, Dumitru Erhan, Aaron Courville, James Bergstra and Yoshua Bengio, An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation, in: Proceedings of the 24th International Conference on Machine Learning (ICML'07), Corvallis, OR, pages 473--480, ACM, 2007
attachment
[DOI]
[URL]