publications

2024

1. Mislabeled

   Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark

   Thomas George, Pierre Nodet, Alexis Bondu, and 1 more author

   Transactions on Machine Learning Research, 2024

2023

1. PhDThesis

   Deep networks training and generalization: insights from linearization

   Thomas George

   Jun 2023

   PhD thesis

   Website

2022

1. LazyHasty

   Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty

   Thomas George, Guillaume Lajoie, and Aristide Baratin

   Transactions on Machine Learning Research, Jun 2022

   Code Website

2021

1. The Dynamics of Functional Diversity throughout Neural Network Training

   Lee Zamparo, Marc-Etienne Brunet, Thomas George, and 2 more authors

   NeurIPS (Workshop), Jun 2021

   PDF
2. NTKAlign

   Implicit regularization via neural feature alignment

   Aristide Baratin, Thomas George, César Laurent, and 4 more authors

   In International Conference on Artificial Intelligence and Statistics, Jun 2021

   arXiv Website
3. Continual Learning in Deep Networks: an Analysis of the Last Layer

   Timothée Lesort, Thomas George, and Irina Rish

   ICML (Workshop), Jun 2021

   arXiv Poster

2020

1. Revisiting loss modelling for unstructured pruning

   César Laurent, Camille Ballas, Thomas George, and 2 more authors

   arXiv preprint arXiv:2006.12279, Jun 2020

   arXiv

2018

1. An Evaluation of Fisher Approximations Beyond Kronecker Factorization

   César Laurent, Thomas George, Xavier Bouthillier, and 2 more authors

   ICLR (Workshop), Jun 2018
2. Factorized second order methods in neural networks

   Thomas George

   Jun 2018

   Website
3. EKFAC

   Fast approximate natural gradient descent in a kronecker factored eigenbasis

   Thomas George, César Laurent, Xavier Bouthillier, and 2 more authors

   Advances in Neural Information Processing Systems, Jun 2018

   arXiv Poster