On June 30th 2025, at ENS de Lyon, in the framework of the COLT2025 conference on learning theory, the SHARP and Foundry projects of the PEPR IA are co-organizing a one-day workshop on “Frugal and Robust Foundations for Machine Learning – Occam’s razor at the age of LLM’s”. The workshop will be dedicated to recent advances in frugal and robust learning. Details here
2 papers @ICML2025, with an oral
Two papers I contributed to have been accepted at ICML 2025
Congratulations also to my colleagues for the following paper also accepted:
SSFAM Phd Prize – honorable mention for Antoine Gonon
Antoine Gonon, former Ph.D. student in the Ockham and ARIC teams, is among the laureates of the Ph.D. award of the SSFAM (French-speaking Machine Learning Society) for his thesis on “Harnessing symmetries for modern deep learning challenges: a path-lifting perspective“. Congratulations to Antoine!
Talk @ PEPR IA Days, Saclay, Mar 18th 2025
PEPR IA Days, Talk on Highs and lows of sparsity in a world of depths
Journée AILYS at ENS Lyon, Feb 14th 2025
Optimization for Artificial Intelligence
Robustness, Overfitting, Transfer, Frugality
Talk on Conservation laws during neural network training (joint work with S. Marcotte and G. Peyré)
Séminaire “mathématiques de l’IA”, IMB, Bordeaux, Jan 30 2025
Rescaling Symmetries in Neural Networks: a Path-lifting Perspective
joint work with A. Gonon, N. Brisebarre, E. Riccietti (https://hal.science/hal-04225201v5, https://hal.science/hal-04584311v3)
and with A. Gagneux, M. Massias, E. Soubies (https://hal.science/hal-04877619v1)
PolSys Seminar, LIP6, Paris, Sep 27th 2024
https://www-polsys.lip6.fr/Seminar/seminar.html Conservation Laws for Gradient Flows