Marco Pacini
Researcher at Fondazione Bruno Kessler, Trento, Italy
My research focuses on the fundamental principles of Geometric Deep Learning and Equivariant Machine Learning.
Some of my research interests include the constructive characterization of equivariant models, as well as their expressivity and approximation capabilities.