| 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 | 917 | 2016 |
| Recurrent batch normalization T Cooijmans, N Ballas, C Laurent, Ç Gülçehre, A Courville arXiv preprint arXiv:1603.09025, 2016 | 501 | 2016 |
| Towards end-to-end speech recognition with deep convolutional neural networks Y Zhang, M Pezeshki, P Brakel, S Zhang, C Laurent, Y Bengio, ... arXiv preprint arXiv:1701.02720, 2017 | 480 | 2017 |
| Batch normalized recurrent neural networks C Laurent, G Pereyra, P Brakel, Y Zhang, Y Bengio 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 326 | 2016 |
| 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 | 212 | 2016 |
| Fast approximate natural gradient descent in a kronecker factored eigenbasis T George, C Laurent, X Bouthillier, N Ballas, P Vincent Advances in Neural Information Processing Systems 31, 2018 | 134 | 2018 |
| Unreproducible research is reproducible X Bouthillier, C Laurent, P Vincent International Conference on Machine Learning, 725-734, 2019 | 106 | 2019 |
| Implicit regularization via neural feature alignment A Baratin, T George, C Laurent, RD Hjelm, G Lajoie, P Vincent, ... International Conference on Artificial Intelligence and Statistics, 2269-2277, 2021 | 55 | 2021 |
| 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 | 49 | 2016 |
| Harm de Vries, David Warde-Farley, Dustin J R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, and …, 2016 | 30 | 2016 |
| Theano: A Python framework for fast computation of mathematical expressions. arXiv e-prints, abs/1605.02688 R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... URL http://arxiv. org/abs/1605.02688, 2016 | 23 | 2016 |
| Revisiting loss modelling for unstructured pruning C Laurent, C Ballas, T George, N Ballas, P Vincent arXiv preprint arXiv:2006.12279, 2020 | 13 | 2020 |
| Theano: A Python framework for fast computation of mathematical expressions. arXiv e-prints, abs/1605.02688, May 2016 R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... URL http://arxiv. org/abs/1605.02688. Project URL http://github. com/Theano …, 2016 | 11 | 2016 |
| Prediction of cognitive decline for enrichment of Alzheimer’s disease clinical trials A Tam, C Laurent, S Gauthier, C Dansereau, ... The Journal of Prevention of Alzheimer's Disease 9 (3), 400-409, 2022 | 10 | 2022 |
| Implicit regularization in deep learning: A view from function space A Baratin, T George, C Laurent, RD Hjelm, G Lajoie, P Vincent, ... arXiv preprint arXiv:2008.00938, 2020 | 9 | 2020 |
| An evaluation of fisher approximations beyond kronecker factorization C Laurent, T George, X Bouthillier, N Ballas, P Vincent | 4 | 2018 |
| Recurrent normalization propagation C Laurent, N Ballas, P Vincent | 2 | 2017 |
| Reducing Screen Failure Rates Due to Biomarker Cut-offs in Early AD Trials with a Prognostic Model A Tam, C Laurent, C Dansereau Alzheimer's Association International Conference, 2024 | | 2024 |
| Abstracts from the 11th Canadian Conference on Dementia: Better and Earlier Detection of Dementia in a Changing Landscape; November 2–4, 2023; Toronto, Ontario C Webster, J Morais, S Gauthier, P Rosa-Neto, K Aelick, M Beaulieu, ... Canadian Geriatrics Journal: CGJ 27 (2), 183-266, 2024 | | 2024 |
| Foresight AD: A multimodal prognostic tool to forecast cognitive and functional decline in early Alzheimer's disease A Tam, C Laurent, C Dansereau Journal of the Neurological Sciences 455, 2023 | | 2023 |
Nicolas BallasMeta AI ResearchVerified email at meta.com
