Thomas George
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. 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
| May 02, 2024 | I joined Orange Innovation as a permanent research scientist in the Responsible and Impactful AI program. |
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| 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) 🥳 |
| Dec 21, 2022 | Our paper Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty was accepted to TMLR. (code) |
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? |