Research output per year
Research output per year
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Dive into the research topics where Federico Bergamin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Advances in Deep Generative Models, Approximate Inference, and their Applications
Bergamin, F., 2024, Technical University of Denmark. 202 p.Research output: Book/Report › Ph.D. thesis
Open AccessFile338 Downloads (Orbit) -
Guided autoregressive diffusion models with applications to PDE simulation
Bergamin, F., Diaconu, C., Shysheya, A., Perdikaris, P., Hernández-Lobato, J. M., Turne, R. E. & Mathieu, E., 2024, Proceedings of the ICLR 2024 Workshop on AI4DifferentialEquations in Science. 31 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile197 Downloads (Orbit) -
On conditional diffusion models for PDE simulations
Shysheya, A., Diaconu, C., Bergamin, F., Perdikaris, P., Hernández-Lobato, J. M., Turner, R. E. & Mathieu, E., 2024, Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS 2024). 55 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile5 Downloads (Orbit) -
Riemannian Laplace approximations for Bayesian neural networks
Bergamin, F., Moreno-Muñoz, P., Hauberg, S. & Arvanitidis, G., 2023, Proceedings of the 37th Conference on Neural Information Processing Systems. Neural Information Processing Systems Foundation, Vol. 36. 28 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile55 Downloads (Orbit) -
Model-agnostic out-of-distribution detection using combined statistical tests
Bergamin, F., Mattei, P.-A., Havtorn, J. D., Senetaire, H., Schmutz, H., Maaløe, L., Hauberg, S. & Frellsen, J., 2022, Proceedings of the 25th International Conference on Artificial Intelligence and Statistics . International Machine Learning Society (IMLS), p. 10753-10776 (Proceedings of Machine Learning Research, Vol. 151).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile47 Downloads (Orbit)
Projects
- 1 Finished
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Deep Generative Models for Collaborative Filtering
Bergamin, F. (PhD Student), Frellsen, J. (Main Supervisor), Hauberg, S. (Supervisor), Mattei, P.-A. (Supervisor), Bauer, M. (Examiner) & Nalisnick, E. (Examiner)
01/10/2020 → 06/09/2024
Project: PhD