Marco Pacini

13 papers A* 2Misc 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
On Uncertainty Calibration for Equivariant Functions.
Trans. Mach. Learn. Res.
Edward Berman, Jacob Ginesin, Marco Pacini, Robin Walters
2025 J jnl
On Uncertainty Calibration for Equivariant Functions.
CoRR
Edward Berman, Jacob Ginesin, Marco Pacini, Robin Walters
2025 J jnl
On Universality Classes of Equivariant Networks.
CoRR
Marco Pacini, Gabriele Santin, Bruno Lepri, Shubhendu Trivedi
2025 J jnl
On Universality of Deep Equivariant Networks.
CoRR
Marco Pacini, Mircea Petrache, Bruno Lepri, Shubhendu Trivedi, Robin Walters
2025 A* conf
Separation Power of Equivariant Neural Networks.
ICLR
Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin
2024 A* conf
A Characterization Theorem for Equivariant Networks with Point-wise Activations.
ICLR
Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin
2024 J jnl
A Characterization Theorem for Equivariant Networks with Point-wise Activations.
CoRR
Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin
2024 J jnl
Linkage of graphs with flows.
J. Comb. Theory, Ser. A
Alex Abreu, Marco Pacini, Matheus Secco
2024 J jnl
Separation Power of Equivariant Neural Networks.
CoRR
Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin
2023 J jnl
Maximizing team synergy in AI-related interdisciplinary groups: an interdisciplinary-by-design iterative methodology.
AI Soc.
Piercosma Bisconti, Davide Orsitto, Federica Fedorczyk, Fabio Brau, Marianna Capasso, Lorenzo De Marinis, Hüseyin Eken, Federica Merenda, Mirko Forti, Marco Pacini, Claudia Schettini
2022 J jnl
Abel maps for nodal curves via tropical geometry.
Math. Comput.
Alex Abreu, Sally Andria, Marco Pacini
2021 Misc conf
X-BaD: A Flexible Tool for Explanation-Based Bias Detection.
CSR
Marco Pacini, Federico Nesti, Alessandro Biondi, Giorgio C. Buttazzo
2018 J jnl
The automorphism group of and.
J. Comb. Theory A
Alex Abreu, Marco Pacini