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Publications of Aaron Courville
2012
| , and , On Training Deep Boltzmann Machines, Université de Montréal, number arXiv:1203.4416v1, 2012 |
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2011
| , and , A Spike and Slab RBM Approach to Modeling Natural Images, The Learning Workshop, Fort Lauderdale, FL., 2011 |
| , and , A Spike and Slab Restricted Boltzmann Machine, in: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011 |
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| , and , On Tracking The Partition Function, in: NIPS'2011, 2011 |
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| , and , Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery, in: NIPS Workshop on Challenges in Learning Hierarchical Models, 2011 |
| , , , , , , , , , , , and , Unsupervised and Transfer Learning Challenge: a Deep Learning approach, in: JMLR W\& CP: Proceedings of the Unsupervised and Transfer Learning challenge and workshop, 2011 |
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| , and , Unsupervised Models of Images by Spike-and-Slab RBMs, in: Proceedings of the Twenty-eight International Conference on Machine Learning (ICML'11), 2011 |
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2010
| , , , and , 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 |
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| , and , The Spike and Slab Restricted Boltzmann Machine, Deep Learning and Unsupervised Feature Learning Workshop, {NIPS}, 2010 |
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| , and , Understanding Representations Learned in Deep Architectures, Université de Montréal/DIRO, number 1355, 2010 |
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| , , , , and , Why Does Unsupervised Pre-training Help Deep Learning? (2010), in: Journal of Machine Learning Research, 11(625--660) |
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| , , and , 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 |
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2009
| , and , An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism, in: Neural Information Processing Systems Conference (NIPS) 22, pages 405--413, "", 2009 |
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| , , , and , Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines, Département d'Informatique et de Recherche Opérationnelle, Université de Montréal, number 1345, 2009 |
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| , , and , Visualizing Higher-Layer Features of a Deep Network, University of Montreal, number 1341, 2009 |
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2007
| , , , and , 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 |
[DOI] [URL] |
