| 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 | 181 | 2018 |
| Implicit regularization via neural feature alignment A Baratin, T George, C Laurent, R Devon Hjelm, G Lajoie, P Vincent, ... The 24th International Conference on Artificial Intelligence and Statistics …, 2020 | 78* | 2020 |
| Continual learning in deep networks: an analysis of the last layer T Lesort, T George, I Rish arXiv preprint arXiv:2106.01834, 2021 | 22 | 2021 |
| Revisiting loss modelling for unstructured pruning C Laurent, C Ballas, T George, N Ballas, P Vincent arXiv preprint arXiv:2006.12279, 2020 | 16 | 2020 |
| NNGeometry: Easy and Fast Fisher Information Matrices and Neural Tangent Kernels in PyTorch T George | 15 | 2021 |
| Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty T George, G Lajoie, A Baratin Transactions on Machine Learning Research, 2022 | 9 | 2022 |
| An evaluation of fisher approximations beyond kronecker factorization C Laurent, T George, X Bouthillier, N Ballas, P Vincent | 4 | 2018 |
| Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark T George, P Nodet, A Bondu, V Lemaire Transactions on Machine Learning Research, 2024 | 1 | 2024 |
| The Dynamics of Functional Diversity throughout Neural Network Training L Zamparo, ME Brunet, T George, S Kharaghani, GK Dziugaite NeurIPS 2021 Workshop BDL, 2021 | 1 | 2021 |
| Deep networks training and generalization: insights from linearization T George | | 2023 |
| Factorized second order methods in neural networks T George | | 2017 |
| La détection d’exemples mal-étiquetés vue comme l’introspection de modèles d’apprentissage: concepts, recensement et étude comparative T George, P Nodet, A Bondu, V Lemaire | | |
César LaurentPerceiv AIBestätigte E-Mail-Adresse bei umontreal.ca
