Tmlr2026

My paper “Diffusion-based Annealed Boltzmann Generators: Benefits, Pitfalls and Hopes,” co-authored with Maxence Noble, has been accepted at TMLR 2026!

I’ll be presenting it at two upcoming events:

• The SIAM Conference on Mathematics of Data Science (MDS26), as part of the minisymposium “Sampling Meets Machine Learning: Design, Analysis, and Applications,” in Salt Lake City, Utah (November 16–20, 2026)
• The “AI in Scientific Computing” workshop organized by RICAM, in Linz, Austria (October 19–23, 2026)