Learning and Transferring Physical Models Trhough Derivatives
Trenta A., Cossu A., Bacciu D., (2026). "Learning and Transferring Physical Models through Derivatives" Transactions on Machine Learning Research (TMLR).
CV
Education
- Ph.D in Artificial Intelligence, University of Pisa, 2027 (expected)
- M.S. in Mathematics, University of Pisa, 2022
- Master in Mathematics, Scuola Normale Superiore, 2022
- B.S. in Mathematics, University of Pisa, 2020
Work experience
- 2022-2023: Data Scientist
- Electra Vechicles inc.
- Machine Learning models for fault prediction in electric batteries and smart charging.
Awards
- Bronze Medal at International Physics Olympiad (IPhO) 2017
- Gold Medal at the Italian Mathematics Olympiad (ItaMO) 2017
- Gold Medal at the Italian Physics Olympiad 2017
- Silver Medal at the Italian Mathematics Olympiad (ItaMO) 2016
- Bronze Medal at the Italian Physics Olympiad 2016
- Bronze Medal at the Italian Mathematics Olympiad (ItaMO) 2015
Publications
SONAR: Long-Range Graph Propagation through Information Waves
Trenta A.*, Gravina A.*, Bacciu D., (2025). "SONAR: Long-Range Graph Propagation through Information Waves" Neural Information Processing Systems (NeurIPS).
Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
Heilig S.*, Gravina A.*, Trenta A., Gallicchio C., Bacciu D., (2025). "Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks." International Conference on Learning Representations (ICLR).