Microblog & Links

I was in Oberwolfach for the Mathematical Imaging and Surface Processing workshop. The report is available.

I gave a 5-hours introduction to language models at the Winter school Dijon-Besaçon.

We organized MIA 2025 Conference in Paris.

We organized the ICSDS 2024 Conference in Nice.

I will be in Vancouver for NeurIPS.

Matthieu Cordonnier defended his PhD thesis on "Neural networks on large scale random graphs". Congrats!

I gave an invited talk at SophIA Summit

Our paper Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs was accepted for publication in J. Mach. Learn. Res.

Mathieu Dagréou defended his PhD thesis on "Contributions to stochastic bilevel optimization". Congratulations Mathieu!

Just learned that I will be a 3IA chair holder for the next 4 years for my project BOGL (Bilevel Optimization for Graph Learning).

Our (w/ F. Iutzeler & E. Pauwels) paper Derivatives of Stochastic Gradient Descent was accepted to NeurIPS 2024.

We organized with L. Calatroni the LOCA workshop in Sophie-Antipolis.

I gave a talk at the Statistical and Probabilistic Analysis of Random Networks and Processes conference.

Started my tweet serie “One Piece of Math a Day” on Twitter. Also available on my website here.

I gave a talk at Inria Grenoble on automatic differentiation.

Attending EURO 2024. I will give an invited talk in the "Algorithms for machine learning and inverse problems" session.

The grant ANR MAD was just accepted. I will be the PI of the project "Mathematics of Automatic Differentiation" for the next 4 years with the following consortium: J. Bolte, S. Gadat, E. Pauwels (Toulouse School of Economics), G. Fort, F. Iutzeler (Université Paul Sabatier) and J.-B. Caillau, Y. Laguel (Université Côte d'Azur).

Visiting G. Gidel at MILA. I gave a talk at MTL Opt.

Accepted paper to TMLR with Hashem Ghanem and Nicolas Keriven Gradient Scarcity with Bilevel Optimization for Graph Learning with Featured Certification!

New preprint with Sophie Jaffard and Patricia Reynaud-Bouret CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration.