Thomas George

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I am a researcher at Orange Innovation in the Responsible and Impactful AI program.

My research interests include:

  • Generalization and explainability of deep neural networks
  • Weakly supervised learning
  • Causality in machine learning

I did my PhD at Mila in Québec, under the joint supervision of Pascal Vincent and Guillaume Lajoie, followed by a post-doc in Vincent Lemaire’s group at Orange Innovation. Previously, I was a multiple hats engineer at Eco-Adapt where I worked on time series from industrial sensors, in order to implement automated algorithms to make sense of these data streams. Prior to that I studied at École des Mines.

Here is my academic CV.

news

Oct 17, 2024 Our paper Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark was accepted to TMLR. (code, video)
May 02, 2024 I joined Orange Innovation as a permanent research scientist in the Responsible and Impactful AI program.
Jul 04, 2023 I will present our paper Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty at Conférence sur l’Apprentissage Automatique (CAp) in Strasbourg
May 02, 2023 I am now a postdoctoral researcher at Orange Labs in Vincent Lemaire’s group.
Apr 20, 2023 I successfully defended my PhD Thesis: Deep networks training and generalization: insights from linearization (manuscript, slides) 🥳

latest posts

selected publications

  1. 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, 2018
  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, 2021
  3. 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, 2022
  4. 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