All publications sorted by recency
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| , and , A Spike and Slab RBM Approach to Modeling Natural Images, The Learning Workshop, Fort Lauderdale, FL., 2011 |
| and , Random Search for Hyper-parameter Optimization, The Learning Workshop, Fort Lauderdale FL., 2011 |
| , and , A Spike and Slab Restricted Boltzmann Machine, in: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011 |
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| and , Adaptive Drift-Diffusion Process to Learn Time Intervals, University of Montreal, 2011 |
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| , and , Quickly Generating Representative Samples from an RBM-Derived Process (2011), in: Neural Computation, 23:8(2053-2073) |
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| , and , The Spike and Slab Restricted Boltzmann Machine, Deep Learning and Unsupervised Feature Learning Workshop, {NIPS}, 2010 |
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| , A connection between Score Matching and Denoising Autoencoders, Université de Montréal, DIRO, number 1358, 2010 |
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| , , , and , Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine (2011), in: Computational Intelligence |
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| , Non-negative matrix decomposition approaches to frequency domain analysis of music audio signals, Université de Montréal, 2010 |
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| , Échantillonnage dynamique de champs markoviens, Université de Montréal, 2010 |
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| , Modèle informatique du coapprentissage des ganglions de la base et du cortex : L’apprentissage par renforcement et le développement de représentations, Université de Montréal, Département d’informatique et de recherche opérationnelle, 2009 |
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| , , , and , Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion (2010), in: Journal of Machine Learning Research, 11(3371--3408) |
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| , and , Understanding Representations Learned in Deep Architectures, Université de Montréal/DIRO, number 1355, 2010 |
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| , , , , , , , , , , , , , , , and , Deep Self-Taught Learning for Handwritten Character Recognition, University of Montréal, number 1353, 2010 |
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| , Sequential Machine learning Approaches for Portfolio Management, Université de Montréal, 2010 |
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| , and , Suitability of V1 Energy Models for Object Classification (2011), in: Neural Computation, 23:3(774–790) |
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| , and , Unlearning for Better Mixing, Université de Montréal/DIRO, number 1349, 2010 |
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| http://www.iro.umontreal.ca/~lisa/publications2/index.php/publications/show/466 (-1), in: Journal of Machine Learning Research |
| , and , Scalable Genre and Tag Prediction with Spectral Covariance, in: Proceedings of the 11th {I}nternational {S}ociety for {M}usic {I}nformation {R}etrieval {C}onference ({ISMIR}), Utrecht, The Netherlands., pages 507--512, 2010 |
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| , Analyse par apprentissage automatique des réponses fMRI du cortex auditif à des modulations spectro-temporelles., Université de Montréal, 2009 |
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| and , The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization, in: AI06, pages 491-502, 2006 |
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| and , GPU Programming with Theano, {SHARCNET} Research Day, 2010 |
, , , , , , , and , Theano: a CPU and GPU Math Expression Compiler, in: Proceedings of the Python for Scientific Computing Conference ({SciPy}), Austin, TX, 2010
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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 |
