Alessandro Trenta

Alessandro Trenta

he/him

PhD student in AI at University of Pisa. Math graduate.

Publications

You can also find my articles on my Google Scholar profile.

Learning and Transferring Physical Models Trhough Derivatives

Published in Transactions on Machine Learning Research (TMLR), 2026

We introduce DERL, a supervised approach based on partial derivatives that is able to learn physical systems and to transfer physical knowledge across models.

Recommended citation: Trenta A., Cossu A., Bacciu D., (2026). "Learning and Transferring Physical Models through Derivatives" Transactions on Machine Learning Research (TMLR).
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Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks

Published in International Conference on Learning Representations (ICLR), 2025

We develop a GNN architecture capable of Long-range propagation exploiting the Hamiltonian formulation of Physical Dynamics

Recommended citation: 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).
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