The automorphism group of and. - Alex Abreu; Marco Pacini (J. Comb. Theory A, 2018)

X-BaD: A Flexible Tool for Explanation-Based Bias Detection. - Marco Pacini; Federico Nesti; Alessandro Biondi 001; Giorgio C. Buttazzo (CSR, 2021)

Abel maps for nodal curves via tropical geometry. - Alex Abreu; Sally Andria; Marco Pacini (Math. Comput., 2022)

Maximizing team synergy in AI-related interdisciplinary groups: an interdisciplinary-by-design iterative methodology. - Piercosma Bisconti; Davide Orsitto; Federica Fedorczyk; Fabio Brau; Marianna Capasso; Lorenzo De Marinis; Hüseyin Eken; Federica Merenda; Mirko Forti; Marco Pacini; Claudia Schettini (AI Soc., 2023)

A Characterization Theorem for Equivariant Networks with Point-wise Activations. - Marco Pacini; Xiaowen Dong 001; Bruno Lepri; Gabriele Santin (ICLR, 2024)

Linkage of graphs with flows. - Alex Abreu; Marco Pacini; Matheus Secco (J. Comb. Theory, Ser. A, 2024)

Separation Power of Equivariant Neural Networks. - Marco Pacini; Xiaowen Dong 001; Bruno Lepri; Gabriele Santin (ICLR, 2025)

On Universality Classes of Equivariant Networks. - Marco Pacini; Gabriele Santin; Bruno Lepri; Shubhendu Trivedi (CoRR, 2025)