Thomas George
I am a researcher at Orange Research in the Responsible and Impactful AI and Machine learning foundations research groups.
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 Research. Previously, I was a multiple hats engineer at Eco-Adapt where I worked on time series from industrial sensors, in order to implement automated data analysis algorithms. Prior to that I studied at École des Mines.
Here is my academic CV.
news
| Oct 14, 2025 | At the Third Conference of the AI Fairness Cluster in Bruxelles, to talk about Fairness in intersectional setups, presented by Jeanne Monnier. |
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| Oct 10, 2025 | New preprint Training Feature Attribution for Vision Models available on arXiv for our work on explainability of vision models with Aziz Bacha. |
| Oct 09, 2025 | I will present our ongoing work Statistical diagnostic measures for deep learning with Pierre Nodet at the Workshop on cautiousness and imprecision in machine learning. |
| Sep 16, 2025 | I will attend the Trustworthy AI Summit with Jeanne Monnier to present our work Fairness in intersectional setups - aggregation choice and some paradoxes. |
| Mar 13, 2025 | PhD position at Orange Research with Pierre Nodet and me: Explaining “black box” AI algorithms through their training examples (en, fr). |
latest posts
| Feb 15, 2019 | Derivatives through a batch norm layer |
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| Nov 09, 2018 | What is the empirical Fisher ? |
| Oct 29, 2018 | How to compute the Fisher of a conditional when applying natural gradient to neural networks? |