Thomas George
I am a postdoctoral researcher at Orange Labs in Vincent Lemaire’s group.
My research interests include weakly supervised learning and generalization in deep neural networks. I am interested in trying to build bridges between deep learning training mechanisms and more established machine learning techniques such as linear models and ensemble methods.
I did my PhD at Mila in Québec, under the joint supervision of Pascal Vincent and Guillaume Lajoie. Previously, I was a multiple hats engineer at Eco-Adapt where I worked with time series from various industrial sensors, trying to develop automated algorithms to make sense of these data streams. Prior to that I studied at École des Mines.
Here is my academic CV.
news
| Apr 20, 2023 | I successfully defended my PhD Thesis: Deep networks training and generalization: insights from linearization (manuscript, slides) 🥳 |
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| Dec 21, 2022 | Our paper Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty was accepted to TMLR. (code) |
| Sep 23, 2022 | New pre-print Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty available. |
| Jul 22, 2022 | I will present our recent work Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty (paper, poster) at the SCIS workshop at ICML 2022. |
| Jul 23, 2021 | Presentation of our workshop paper Continual learning and Deep Networks: an Analysis of the Last Layer with Timothée Lesort at the Theory of Continual Learning workshop at ICML. |