• "On conditional diffusion models for PDE simulations."
  A. Shysheya^*, C. Diaconu^*, F. Bergamin^*, P. Perdikaris, J.M. Hernández-Lobato, R.E. Turner, E. Mathieu
  To appear in Advances in Neural Information Processing Systems (NeurIPS), 2024
  [ arXiv ] [ Code ]

• "Riemannian Laplace approximations for Bayesian neural networks."
  F. Bergamin, P. Moreno-Muñoz, S. Hauberg and G. Arvanitidis
  In Advances in Neural Information Processing Systems (NeurIPS), 2023
  [ arXiv ] [ Code ] [ Poster ]

• "Model-agnostic out-of-distribution detection using combined statistical tests."
  F. Bergamin^*, P-A. Mattei^*, J.D. Havtorn , H. Senetaire, H. Schmutz, L. Maaløe, S. Hauberg, J. Frellsen
  Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022.
  [ arXiv ] [ Code ] [ Poster ]

Workshop papers