All publications
| 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 | 501-525 | 526-526 |
2011
| , and , Improving first and second-order methods by modeling uncertainty, in: Optimization for Machine Learning, MIT Press, 2011 |
| , Incorporating Complex Cells into Neural Networks for Pattern Classification, Universit{'e} de Montr{'e}al, 2011 |
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| , and , Large-Scale Learning of Embeddings with Reconstruction Sampling, in: Proceedings of the Twenty-eighth International Conference on Machine Learning (ICML'11), 2011 |
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| , , , , and , Learning invariant features through local space contraction, Université de Montréal - DIRO - LISA, number 1360, 2011 |
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| , , and , Learning Structured Embeddings of Knowledge Bases, in: AAAI 2011, 2011 |
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| , 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 , On the Expressive Power of Deep Architectures, in: Proceedings of the 22nd International Conference on Algorithmic Learning Theory, 2011 |
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| , and , On Tracking The Partition Function, in: NIPS'2011, 2011 |
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| , , , , and , pylearn2, 2011 |
| , and , Quickly Generating Representative Samples from an RBM-Derived Process (2011), in: Neural Computation, 23:8(2053-2073) |
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| and , Random Search for Hyper-parameter Optimization, The Learning Workshop, Fort Lauderdale FL., 2011 |
| , Réseaux de neurones à relaxation entraînés par critère d'autoencodeur débruitant, Université de Montréal, 2011 |
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| , and , Sampled Reconstruction for Large-Scale Learning of Embeddings (2011), in: Proceedings of the Twenty-eight International Conference on Machine Learning (ICML'11) |
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| and , Shallow vs. Deep Sum-Product Networks, in: Advances in Neural Information Processing Systems 24 (NIPS'11), 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 , Suitability of V1 Energy Models for Object Classification (2011), in: Neural Computation, 23:3(774–790) |
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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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| , , , and , The Manifold Tangent Classifier, in: NIPS'2011, 2011 |
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| , , , , , , , , , and , Theano: Deep Learning on GPUs with Python, in: Big Learn workshop, NIPS'11, 2011 |
| , , and , Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings, Université De Montréal, 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 , 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
| , A connection between Score Matching and Denoising Autoencoders, Université de Montréal, DIRO, number 1358, 2010 |
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| , and , Decision Trees do not Generalize to New Variations (2010), in: Computational Intelligence, 26:4(449--467) |
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| and , Deep Belief Networks are Compact Universal Approximators (2010), in: Neural Computation, 22:8(2192-2207) |
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| 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 | 501-525 | 526-526 |
