Pierre-Antoine Manzagol
Pierre-Antoine Manzagol
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TitleCited byYear
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
P Vincent, H Larochelle, I Lajoie, Y Bengio, PA Manzagol
Journal of machine learning research 11 (Dec), 3371-3408, 2010
Extracting and composing robust features with denoising autoencoders
P Vincent, H Larochelle, Y Bengio, PA Manzagol
Proceedings of the 25th international conference on Machine learning, 1096-1103, 2008
Why does unsupervised pre-training help deep learning?
D Erhan, Y Bengio, A Courville, PA Manzagol, P Vincent, S Bengio
Journal of Machine Learning Research 11 (Feb), 625-660, 2010
The difficulty of training deep architectures and the effect of unsupervised pre-training
D Erhan, PA Manzagol, Y Bengio, S Bengio, P Vincent
Artificial Intelligence and Statistics, 153-160, 2009
Topmoumoute online natural gradient algorithm
NL Roux, PA Manzagol, Y Bengio
Advances in neural information processing systems, 849-856, 2008
Theano: A Python framework for fast computation of mathematical expressions
TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ...
arXiv preprint arXiv:1605.02688, 2016
On the Use of Sparce Time Relative Auditory Codes for Music.
PA Manzagol, T Bertin-Mahieux, D Eck
ISMIR, 603-608, 2008
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