Aaron C. Courville

	2012
21		Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio: Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery CoRR abs/1201.3382: (2012)
20		Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio: On Training Deep Boltzmann Machines CoRR abs/1203.4416: (2012)
	2011
19		Aaron C. Courville, James Bergstra, Yoshua Bengio: Unsupervised Models of Images by Spikeand-Slab RBMs. ICML 2011: 1145-1152
18		Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio: On Tracking The Partition Function. NIPS 2011: 2501-2509
17		James Bergstra, Aaron C. Courville, Yoshua Bengio: The Statistical Inefficiency of Sparse Coding for Images (or, One Gabor to Rule them All) CoRR abs/1109.6638: (2011)
16		Aaron C. Courville, James Bergstra, Yoshua Bengio: A Spike and Slab Restricted Boltzmann Machine. Journal of Machine Learning Research - Proceedings Track 15: 233-241 (2011)
15		Robert D. Vincent, Aaron C. Courville, Joelle Pineau: A bistable computational model of recurring epileptiform activity as observed in rodent slice preparations. Neural Networks 24(6): 526-537 (2011)
	2010
14		Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio: Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs CoRR abs/1012.3476: (2010)
13		Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, Pierre-Antoine Manzagol, Pascal Vincent, Samy Bengio: Why Does Unsupervised Pre-training Help Deep Learning? Journal of Machine Learning Research 11: 625-660 (2010)
12		Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio, Pascal Vincent, Olivier Delalleau: Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines. Journal of Machine Learning Research - Proceedings Track 9: 145-152 (2010)
11		Dumitru Erhan, Aaron C. Courville, Yoshua Bengio, Pascal Vincent: Why Does Unsupervised Pre-training Help Deep Learning? Journal of Machine Learning Research - Proceedings Track 9: 201-208 (2010)
	2009
10		Aaron C. Courville, Douglas Eck, Yoshua Bengio: An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism. NIPS 2009: 405-413
	2007
9		Hugo Larochelle, Dumitru Erhan, Aaron C. Courville, James Bergstra, Yoshua Bengio: An empirical evaluation of deep architectures on problems with many factors of variation. ICML 2007: 473-480
8		Nathaniel D. Daw, Aaron C. Courville: The rat as particle filter. NIPS 2007
	2006
7		Carl Wellington, Aaron C. Courville, Anthony Stentz: A Generative Model of Terrain for Autonomous Navigation in Vegetation. I. J. Robotic Res. 25(12): 1287-1304 (2006)
6		Nathaniel D. Daw, Aaron C. Courville, David S. Touretzky: Representation and Timing in Theories of the Dopamine System. Neural Computation 18(7): 1637-1677 (2006)
	2005
5		Carl Wellington, Aaron C. Courville, Anthony Stentz: Interacting Markov Random Fields for Simultaneous Terrain Modeling and Obstacle Detection. Robotics: Science and Systems 2005: 1-8
	2004
4		Aaron C. Courville, Nathaniel D. Daw, David S. Touretzky: Similarity and Discrimination in Classical Conditioning: A Latent Variable Account. NIPS 2004
	2003
3		Aaron C. Courville, Nathaniel D. Daw, Geoffrey J. Gordon, David S. Touretzky: Model Uncertainty in Classical Conditioning. NIPS 2003
	2002
2		Nathaniel D. Daw, Aaron C. Courville, David S. Touretzky: Timing and Partial Observability in the Dopamine System. NIPS 2002: 83-90
	2001
1		Aaron C. Courville, David S. Touretzky: Modeling Temporal Structure in Classical Conditioning. NIPS 2001: 3-10

Coauthor Index

1	Samy Bengio	[13]
2	Yoshua Bengio	[9] [10] [11] [12] [13] [14] [16] [17] [18] [19] [20] [21]
3	James Bergstra	[9] [16] [17] [19]
4	Nathaniel D. Daw	[2] [3] [4] [6] [8]
5	Olivier Delalleau	[12]
6	Guillaume Desjardins	[12] [14] [18] [20]
7	Douglas Eck	[10]
8	Dumitru Erhan	[9] [11] [13]
9	Ian J. Goodfellow	[21]
10	Geoffrey J. Gordon	[3]
11	Hugo Larochelle	[9]
12	Pierre-Antoine Manzagol	[13]
13	Joelle Pineau	[15]
14	Anthony Stentz	[5] [7]
15	David S. Touretzky	[1] [2] [3] [4] [6]
16	Pascal Vincent	[11] [12] [13]
17	Robert D. Vincent	[15]
18	Carl Wellington	[5] [7]

Colors in the list of coauthors

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