[Sep 2025] New paper 'Gaussian Mixture Model with unknown diagonal covariances via continuous sparse regularization' with R. Giard and C. Marteau, under review
[Sep 2025] Updated version of 'FastPart: Over-Parameterized Stochastic Gradient Descent for Sparse optimisation on Measures' available on arXiv
[Jul 2025] Paper 'Effective regions and kernels in continuous sparse regularisation, with application to sketched mixtures' with R. Gribonval and N. Jouvin
[Apr 2025] Paper 'Minimax Estimation of Partially-Observed Vector AutoRegressions' with G. Dalle accepted in Electronic Journal of Statistics, establishing optimal convergence rates
2024: Paper with V. Duval and R. Petit published in Inverse Problems
2022: Paper with J-M Azaïs published in Information & Inference: A Journal of the IMA
2021: Multiple papers published in Annals of Statistics, Optimization Letters, Journal of Mathematical Imaging and Vision, etc.
Maintains GitHub repositories including FastPart and SuperMix
Research Experience
Elected head of the École Centrale Lyon site of Institut Camille Jordan; statutory member of the institute’s laboratory council and the school’s executive committee
Affiliated researcher at CERMICS, École des Ponts ParisTech
External collaborator with the OCKHAM team at INRIA Lyon
Elected member of the Mathematics and Computer Science Department Council at École Centrale Lyon
Teaches Machine Learning (2nd year) and Convexity and Parsimony (3rd year, jointly with Master 2 MeA, Lyon 1)