Model-agnostic out-of-distribution detection using combined statistical tests. - Federico Bergamin; Pierre-Alexandre Mattei; Jakob Drachmann Havtorn; Hugo Sénétaire; Hugo Schmutz; Lars Maaløe; Søren Hauberg; Jes Frellsen (AISTATS, 2022)

Riemannian Laplace approximations for Bayesian neural networks. - Federico Bergamin; Pablo Moreno-Muñoz; Søren Hauberg; Georgios Arvanitidis (NeurIPS, 2023)

On conditional diffusion models for PDE simulations. - Aliaksandra Shysheya; Cristiana Diaconu; Federico Bergamin; Paris Perdikaris; José Miguel Hernández-Lobato; Richard E. Turner; Emile Mathieu (NeurIPS, 2024)

Kinetic Langevin Diffusion for Crystalline Materials Generation. - François Cornet; Federico Bergamin; Arghya Bhowmik; Juan Maria Garcia Lastra; Jes Frellsen; Mikkel N. Schmidt (CoRR, 2025)