MultiSTOP: Solving Functional Equations with Reinforcement Learning. - Alessandro Trenta; Davide Bacciu; Andrea Cossu; Pietro Ferrero (CoRR, 2024)

Injecting Hamiltonian Architectural Bias into Deep Graph Networks for Long-Range Propagation. - Simon Heilig; Alessio Gravina; Alessandro Trenta; Claudio Gallicchio; Davide Bacciu (CoRR, 2024)

Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks. - Simon Heilig; Alessio Gravina; Alessandro Trenta; Claudio Gallicchio; Davide Bacciu (ICLR, 2025)

Learning and Transferring Physical Models through Derivatives. - Alessandro Trenta; Andrea Cossu; Davide Bacciu (CoRR, 2025)