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First name:	Hugo
Last name:	Larochelle
DBLP:	86/3862
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	Journal article Hugo Larochelle, Michael I. Mandel, Razvan Pascanu, Yoshua Bengio. Learning Algorithms for the Classification Restricted Boltzmann Machine.	Journal of Machine Learning Research 2012, Volume 13	(0)	2012
	Journal article Jasper Snoek, Ryan P. Adams, Hugo Larochelle. On Nonparametric Guidance for Learning Autoencoder Representations.	Journal of Machine Learning Research - Proceedings Track 2012, Volume 22	(0)	2012
	Conference paper 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 2012, Volume 28	(0)	2012
	Conference paper Misha Denil, Loris Bazzani, Hugo Larochelle, Nando de Freitas. Learning Where to Attend with Deep Architectures for Image Tracking.	Neural Computation 2012, Volume 24	(0)	2012
	Conference paper Jasper Snoek, Hugo Larochelle, Ryan P. Adams. Practical Bayesian Optimization of Machine Learning Algorithms	CoRR 2012, Volume 0	(0)	2012
	Conference paper George E. Dahl, Ryan P. Adams, Hugo Larochelle. Training Restricted Boltzmann Machines on Word Observations	CoRR 2012, Volume 0	(0)	2012
	Conference paper Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton. Conditional Restricted Boltzmann Machines for Structured Output Prediction	CoRR 2012, Volume 0	(0)	2012
	Conference paper Maksims Volkovs, Hugo Larochelle, Richard S. Zemel. Learning to rank by aggregating expert preferences.	21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012 2012	(0)	2012
	Conference paper George E. Dahl, Ryan P. Adams, Hugo Larochelle. Training Restricted Boltzmann Machines on Word Observations.	Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012 2012	(0)	2012
	Conference paper Hugo Larochelle, Stanislas Lauly. A Neural Autoregressive Topic Model.	Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States. 2012	(0)	2012
	Conference paper Jasper Snoek, Hugo Larochelle, Ryan P. Adams. Practical Bayesian Optimization of Machine Learning Algorithms.	Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States. 2012	(0)	2012
	Journal article Michael Mandel, Razvan Pascanu, Hugo Larochelle, Yoshua Bengio. Autotagging music with conditional restricted Boltzmann machines	CoRR 2011, Volume 0	(0)	2011
	Journal article Jérôme Louradour, Hugo Larochelle. Classification of Sets using Restricted Boltzmann Machines	CoRR 2011, Volume 0	(0)	2011
	Journal article Maksims Volkovs, Hugo Larochelle, Richard S. Zemel. Loss-sensitive Training of Probabilistic Conditional Random Fields	CoRR 2011, Volume 0	(0)	2011
	Journal article Hugo Larochelle, Iain Murray. The Neural Autoregressive Distribution Estimator.	Journal of Machine Learning Research - Proceedings Track 2011, Volume 15	(0)	2011
	Conference paper Misha Denil, Loris Bazzani, Hugo Larochelle, Nando de Freitas. Learning where to Attend with Deep Architectures for Image Tracking	CoRR 2011, Volume 0	(0)	2011
	Conference paper Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino, Jo-Anne Ting. Learning attentional policies for tracking and recognition in video with deep networks.	Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011 2011	(0)	2011
	Conference paper Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton. Conditional Restricted Boltzmann Machines for Structured Output Prediction.	UAI 2011, Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, July 14-17, 2011 2011	(0)	2011
	Conference paper Jérôme Louradour, Hugo Larochelle. Classification of Sets using Restricted Boltzmann Machines.	UAI 2011, Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, July 14-17, 2011 2011	(0)	2011
	Journal article Hugo Larochelle, Yoshua Bengio, Joseph P. Turian. Tractable Multivariate Binary Density Estimation and the Restricted Boltzmann Forest.	Neural Computation 2010, Volume 22	(0)	2010
	Conference paper 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 2010, Volume 11	(0)	2010
	Journal article Ruslan Salakhutdinov, Hugo Larochelle. Efficient Learning of Deep Boltzmann Machines.	Journal of Machine Learning Research - Proceedings Track 2010, Volume 9	(0)	2010
	Conference paper Hugo Larochelle, Geoffrey E. Hinton. Learning to combine foveal glimpses with a third-order Boltzmann machine.	Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada. 2010	(0)	2010
	Journal article Hugo Larochelle, Dumitru Erhan, Pascal Vincent. Deep Learning using Robust Interdependent Codes.	Journal of Machine Learning Research - Proceedings Track 2009, Volume 5	(0)	2009
	Journal article Hugo Larochelle, Yoshua Bengio, Jérôme Louradour, Pascal Lamblin. Exploring Strategies for Training Deep Neural Networks.	Journal of Machine Learning Research 2009, Volume 10	(0)	2009

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