All publications sorted by recency
| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-450 | 451-475 | 476-500 | 501-515 |
| , , , , and , pylearn2, 2011 |
| , Réseaux de neurones à relaxation entraînés par critère d'autoencodeur débruitant, Université de Montréal, 2011 |
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| , , , and , A High-Order Feature Synthesis and Selection Algorithm Applied to Insurance Risk Modelling (2011), in: International Journal of Business Intelligence and Data Mining, 6:3(237 - 258) |
| , A Connection between Score Matching and Denoising Autoencoders (2011), in: Neural Computation, 23:7(1661-1674) |
| and , A neurodynamical model for working memory (2011), in: Neural Networks, 24:2(199-207) |
| , , , , , , , , , and , Theano: Deep Learning on GPUs with Python, in: Big Learn workshop, NIPS'11, 2011 |
| , , , and , A Common GPU n-Dimensional Array for Python and C, in: Big Learn workshop, NIPS'11, 2011 |
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| NIPS'11, in: NIPS 24, -1 |
| Advances in Neural Information Processing Systems 24 (NIPS'11), in: NIPS 24, -1 |
| http://www.iro.umontreal.ca/~lisa/publications2/index.php/publications/show/518, in: Advances in Neural Information Processing Systems 24 (NIPS'11), -1 |
| , and , Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery, in: Workshop on Challenges in Learning Hierarchical Models. NIPS 2011., 2011 |
| , and , Learning Algorithms for the Classification Restricted Boltzmann Machine (2012), in: Journal of Machine Learning Research |
| and , Random Search for Hyper-Parameter Optimization (2012), in: Journal of Machine Learning Research |
| and , Shallow vs. Deep Sum-Product Networks, in: Advances in Neural Information Processing Systems 24 (NIPS'11), 2011 |
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| , and , On Tracking The Partition Function, in: NIPS'2011, 2011 |
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| , , and , Algorithms for Hyper-Parameter Optimization, in: NIPS'2011, 2011 |
| , , , and , The Manifold Tangent Classifier, in: NIPS'2011, 2011 |
| , and , Multi-Tasking with Joint Semantic Spaces for Large-Scale Music Annotation and Retrieval (2011), in: Journal of New Music Research |
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| , , and , Temporal pooling and multiscale learning for automatic annotation and ranking of music audio, in: In Proceedings of the 12th International Conference on Music Information Retrieval (ISMIR’11), Miami, FL, USA, 2011 |
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| , Understanding deep architectures and the effect of unsupervised pre-training, Université de Montréal, 2010 |
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| Learning deep architectures for AI, Now Publishers, 2009 |
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| and , On the Expressive Power of Deep Architectures, in: Proceedings of the 22nd International Conference on Algorithmic Learning Theory, 2011 |
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| , Deep Learning of Representations for Unsupervised and Transfer Learning, in: Proceedings of the Unsupervised and Transfer Learning challenge and workshop, 2011 |
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| , , , , , , , , , , , 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 , Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings, Université De Montréal, 2011 |
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