| 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 | 9507 | 2008 |
| 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 | 9334 | 2010 |
| 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 | 3669 | 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 e-prints, arXiv: 1605.02688, 2016 | 930 | 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 | 728 | 2019 |
| 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 | 652 | 2009 |
| Topmoumoute online natural gradient algorithm N Roux, PA Manzagol, Y Bengio Advances in neural information processing systems 20, 2007 | 251 | 2007 |
| 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 | 217 | 2016 |
| Proceedings of the 25th international conference on Machine learning P Vincent, H Larochelle, Y Bengio, PA Manzagol ACM, 2008 | 103 | 2008 |
| 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 | 89 | 2018 |
| 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 | 80 | 2020 |
| 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 | 66 | 2020 |
| Theano: A Python framework for fast computation of mathematical expressions. arXiv R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688 10, 2016 | 51 | 2016 |
| Negative eigenvalues of the hessian in deep neural networks G Alain, NL Roux, PA Manzagol arXiv preprint arXiv:1902.02366, 2019 | 37 | 2019 |
| PLUR: A unifying, graph-based view of program learning, understanding, and repair Z Chen, VJ Hellendoorn, P Lamblin, P Maniatis, PA Manzagol, D Tarlow, ... Advances in Neural Information Processing Systems 34, 23089-23101, 2021 | 34 | 2021 |
| On the Use of Sparce Time Relative Auditory Codes for Music. PA Manzagol, T Bertin-Mahieux, D Eck ISMIR, 603-608, 2008 | 33 | 2008 |
| Reducing the variance in online optimization by transporting past gradients S Arnold, PA Manzagol, R Babanezhad Harikandeh, I Mitliagkas, ... Advances in Neural Information Processing Systems 32, 2019 | 26 | 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 | 16 | 2013 |
| Resolving Code Review Comments with Machine Learning A Frömmgen, J Austin, P Choy, N Ghelani, L Kharatyan, G Surita, ... Proceedings of the 46th International Conference on Software Engineering …, 2024 | 9 | 2024 |
| Deep learning with denoising autoencoders P Vincent, H Larochelle, Y Bengio, PA Manzagol Journal of Machine Learning 27, 49-50, 2008 | 9 | 2008 |
Hugo LarochelleGoogle DeepMind & MilaBestätigte E-Mail-Adresse bei google.com