Pierre-Antoine Manzagol
Pierre-Antoine Manzagol
Google Brain
Verified email at google.com
Cited by
Cited by
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, L Bottou
Journal of machine learning research 11 (12), 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, A Courville, Y Bengio, P Vincent
Proceedings of the thirteenth international conference on artificial …, 2010
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv, arXiv: 1605.02688, 2016
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
Meta-dataset: A dataset of datasets for learning to learn from few examples
E Triantafillou, T Zhu, V Dumoulin, P Lamblin, U Evci, K Xu, R Goroshin, ...
arXiv preprint arXiv:1903.03096, 2019
On the Use of Sparce Time Relative Auditory Codes for Music.
PA Manzagol, T Bertin-Mahieux, D Eck
ISMIR, 603-608, 2008
Negative eigenvalues of the Hessian in deep neural networks
G Alain, NL Roux, PA Manzagol
arXiv preprint arXiv:1902.02366, 2019
Discovery of digital goods in an online marketplace
CP Nygaard, O Gershony, S Doyon, TC Hesterberg, PA Manzagol
US Patent App. 13/654,766, 2013
Learning to fix build errors with graph2diff neural networks
D Tarlow, S Moitra, A Rice, Z Chen, PA Manzagol, C Sutton, E Aftandilian
Proceedings of the IEEE/ACM 42nd International Conference on Software …, 2020
Reducing the variance in online optimization by transporting past gradients
S Arnold, PA Manzagol, RB Harikandeh, I Mitliagkas, N Le Roux
Advances in Neural Information Processing Systems, 5391-5402, 2019
On the interplay between noise and curvature and its effect on optimization and generalization
V Thomas, F Pedregosa, B Merriënboer, PA Manzagol, Y Bengio, ...
International Conference on Artificial Intelligence and Statistics, 3503-3513, 2020
Task switching or task launching based on a ranked list of tasks
PJ Beaudoin, TC Huang, R Lee, PA Manzagol, RDP McFarlane, ...
US Patent App. 14/446,760, 2018
Mirex special tagatune evaluation submission
PA Manzagol, S Bengio
Music Information Retrieval Evaluation Music Information Retrieval …, 2009
Deep Learning with Denoising Autoencoders.[J]
P Vincent, H Larochelle, Y Bengio, PA Manzagol
Journal of Machine Learning 27, 49-50, 2008
Why Does Unsupervised Pre-training Help Deep Discriminant Learning?
D Erhan, Y Bengio, A Courville, PA Manzagol, P Vincent, S Bengio
Online variance-reducing optimization
N Le Roux, R Babanezhad, PA Manzagol
TONGA: un algorithme de gradient naturel pour les problèmes de grande taille
PA Manzagol
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