| Jan 28, 2025 | I will attend EGC in Strasbourg to present our paper Calibration des modèles d’apprentissage pour l’amélioration des détecteurs automatiques d’exemples mal-étiquetés as well as the workshop IACD for a presentation of our paper Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark. |
| 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) 🥳 |
| 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. |
| Jun 14, 2021 | Presentation of Implicit Regularization via Neural Feature Alignment at Conférence sur l’Apprentissage Automatique 2021 |
| Apr 21, 2021 | I will present NNGeometry at the Pytorch Ecosystem Day |
| Feb 19, 2021 | I will give a talk titled Optimization and generalization through the lens of the linearization of neural networks training dynamics in front of Roger Grosse’s group at Vector Institute Toronto. |