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Federico Bergamin
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Model-agnostic out-of-distribution detection using combined statistical tests
F Bergamin, PA Mattei, JD Havtorn, H Senetaire, H Schmutz, L Maaløe, ...
International Conference on Artificial Intelligence and Statistics, 10753-10776, 2022
242022
Riemannian Laplace approximations for Bayesian neural networks
F Bergamin, P Moreno-Muñoz, S Hauberg, G Arvanitidis
Advances in Neural Information Processing Systems 36, 31066-31095, 2023
92023
Guided autoregressive diffusion models with applications to PDE simulation
F Bergamin, C Diaconu, A Shysheya, P Perdikaris, JM Hernández-Lobato, ...
ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024
32024
On conditional diffusion models for PDE simulations
A Shysheya, C Diaconu, F Bergamin, P Perdikaris, JM Hernández-Lobato, ...
arXiv preprint arXiv:2410.16415, 2024
2024
Advances in Deep Generative Models, Approximate Inference, and their Applications
F Bergamin
Technical University of Denmark, 2024
2024
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