Hugo Larochelle

Université de Sherbrooke, Department of Computer Science

	2012
j11		Yoshua Bengio, Nicolas Chapados, Olivier Delalleau, Hugo Larochelle, Xavier Saint-Mleux, Christian Hudon, Jérôme Louradour: Detonation Classification from acoustic Signature with the Restricted Boltzmann Machine. Computational Intelligence 28(2): 261-288 (2012)
j10		Hugo Larochelle, Michael I. Mandel, Razvan Pascanu, Yoshua Bengio: Learning Algorithms for the Classification Restricted Boltzmann Machine. Journal of Machine Learning Research 13: 643-669 (2012)
j9		Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle: On Nonparametric Guidance for Learning Autoencoder Representations. Journal of Machine Learning Research - Proceedings Track 22: 1073-1080 (2012)
j8		Misha Denil, Loris Bazzani, Hugo Larochelle, Nando de Freitas: Learning Where to Attend with Deep Architectures for Image Tracking. Neural Computation 24(8): 2151-2184 (2012)
c14		Maksims Volkovs, Hugo Larochelle, Richard S. Zemel: Learning to rank by aggregating expert preferences. CIKM 2012: 843-851
c13		George E. Dahl, Ryan Prescott Adams, Hugo Larochelle: Training Restricted Boltzmann Machines on Word Observations. ICML 2012
c12		Hugo Larochelle, Stanislas Lauly: A Neural Autoregressive Topic Model. NIPS 2012: 2717-2725
c11		Jasper Snoek, Hugo Larochelle, Ryan P. Adams: Practical Bayesian Optimization of Machine Learning Algorithms. NIPS 2012: 2960-2968
i7		Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton: Conditional Restricted Boltzmann Machines for Structured Output Prediction. CoRR abs/1202.3748 (2012)
i6		George E. Dahl, Ryan Prescott Adams, Hugo Larochelle: Training Restricted Boltzmann Machines on Word Observations. CoRR abs/1202.5695 (2012)
i5		Jasper Snoek, Hugo Larochelle, Ryan Prescott Adams: Practical Bayesian Optimization of Machine Learning Algorithms. CoRR abs/1206.2944 (2012)
	2011
j7		Hugo Larochelle, Iain Murray: The Neural Autoregressive Distribution Estimator. Journal of Machine Learning Research - Proceedings Track 15: 29-37 (2011)
c10		Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino, Jo-Anne Ting: Learning attentional policies for tracking and recognition in video with deep networks. ICML 2011: 937-944
c9		Jérôme Louradour, Hugo Larochelle: Classification of Sets using Restricted Boltzmann Machines. UAI 2011: 463-470
c8		Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton: Conditional Restricted Boltzmann Machines for Structured Output Prediction. UAI 2011: 514-522
i4		Michael I. Mandel, Razvan Pascanu, Hugo Larochelle, Yoshua Bengio: Autotagging music with conditional restricted Boltzmann machines. CoRR abs/1103.2832 (2011)
i3		Jérôme Louradour, Hugo Larochelle: Classification of Sets using Restricted Boltzmann Machines. CoRR abs/1103.4896 (2011)
i2		Maksims Volkovs, Hugo Larochelle, Richard S. Zemel: Loss-sensitive Training of Probabilistic Conditional Random Fields. CoRR abs/1107.1805 (2011)
i1		Misha Denil, Loris Bazzani, Hugo Larochelle, Nando de Freitas: Learning where to Attend with Deep Architectures for Image Tracking. CoRR abs/1109.3737 (2011)
	2010
j6		Ruslan Salakhutdinov, Hugo Larochelle: Efficient Learning of Deep Boltzmann Machines. Journal of Machine Learning Research - Proceedings Track 9: 693-700 (2010)
j5		Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, Pierre-Antoine Manzagol: Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion. Journal of Machine Learning Research 11: 3371-3408 (2010)
j4		Hugo Larochelle, Yoshua Bengio, Joseph P. Turian: Tractable Multivariate Binary Density Estimation and the Restricted Boltzmann Forest. Neural Computation 22(9): 2285-2307 (2010)
c7		Hugo Larochelle, Geoffrey E. Hinton: Learning to combine foveal glimpses with a third-order Boltzmann machine. NIPS 2010: 1243-1251
	2009
j3		Hugo Larochelle, Dumitru Erhan, Pascal Vincent: Deep Learning using Robust Interdependent Codes. Journal of Machine Learning Research - Proceedings Track 5: 312-319 (2009)
j2		Hugo Larochelle, Yoshua Bengio, Jérôme Louradour, Pascal Lamblin: Exploring Strategies for Training Deep Neural Networks. Journal of Machine Learning Research 10: 1-40 (2009)
	2008
c6		Hugo Larochelle, Dumitru Erhan, Yoshua Bengio: Zero-data Learning of New Tasks. AAAI 2008: 646-651
c5		Hugo Larochelle, Yoshua Bengio: Classification using discriminative restricted Boltzmann machines. ICML 2008: 536-543
c4		Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pierre-Antoine Manzagol: Extracting and composing robust features with denoising autoencoders. ICML 2008: 1096-1103
	2007
c3		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
	2006
j1		Yoshua Bengio, Martin Monperrus, Hugo Larochelle: Nonlocal Estimation of Manifold Structure. Neural Computation 18(10): 2509-2528 (2006)
c2		Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle: Greedy Layer-Wise Training of Deep Networks. NIPS 2006: 153-160
	2005
c1		Yoshua Bengio, Hugo Larochelle, Pascal Vincent: Non-Local Manifold Parzen Windows. NIPS 2005

Coauthor Index

Colors in the list of coauthors

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