Scholar
Marco Pacini
Google Scholar ID: Nf5JzkoAAAAJ
PhD student, University of Trento & Fondazione Bruno Kessler
Citations & Impact
Citations
38
H-index
3
i10-index
1
Publications
7
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- - Oct 20, 2025: New preprint of “On Universality of Deep Equivariant Networks” is out on ArXiv now!
- - Sep 18, 2025: On Universality Classes of Equivariant Networks was accepted to NeurIPS 2025 as a Spotlight.
- - Jun 06, 2025: New preprint of “On Universality Classes of Equivariant Networks” is out on ArXiv now!
- - Feb 11, 2025: Separation Power of Equivariant Neural Networks has been accepted to ICLR 2025!
- - Jun 14, 2024: New preprint of “Separation Power of Equivariant Neural Networks” is out on ArXiv now!
- - 2025: On Universality of Deep Equivariant Networks, by Marco Pacini, Mircea Petrache, Bruno Lepri, and 2 more authors
- - 2025: On Universality Classes of Equivariant Networks, by Marco Pacini, Gabriele Santin, Bruno Lepri, and 1 more author
- - 2025: Separation Power of Equivariant Neural Networks, by Marco Pacini, Xiaowen Dong, Bruno Lepri, and 1 more author
- - 2024: A Characterization Theorem for Equivariant Networks with Point-wise Activations, by Marco Pacini, Xiaowen Dong, Bruno Lepri, and 1 more author
Research Experience
- No detailed information available
Education
- PhD Candidate at University of Trento & Fondazione Bruno Kessler
Background
- Research interests include the fundamental principles of Geometric Deep Learning and Equivariant Machine Learning, with a focus on the constructive characterization of equivariant models, as well as their expressivity and approximation capabilities.
Miscellany
- No detailed information available
