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Thomas George
Thomas George
Orange Innovation
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Title
Cited by
Cited by
Year
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
1722018
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
74*2020
Continual learning in deep networks: an analysis of the last layer
T Lesort, T George, I Rish
arXiv preprint arXiv:2106.01834, 2021
212021
Revisiting loss modelling for unstructured pruning
C Laurent, C Ballas, T George, N Ballas, P Vincent
arXiv preprint arXiv:2006.12279, 2020
152020
NNGeometry: Easy and Fast Fisher Information Matrices and Neural Tangent Kernels in PyTorch
T George
102021
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
92022
An evaluation of fisher approximations beyond kronecker factorization
C Laurent, T George, X Bouthillier, N Ballas, P Vincent
42018
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
12024
The Dynamics of Functional Diversity throughout Neural Network Training
L Zamparo, ME Brunet, T George, S Kharaghani, GK Dziugaite
NeurIPS 2021 Workshop BDL, 2021
12021
Deep networks training and generalization: insights from linearization
T George
2023
Factorized second order methods in neural networks
T George
2017
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Articles 1–11