1 citations · 1 across the 3 of their papers we have counts for
3 papers
: Gradient-based and Task-Agnostic machine Unlearning
Daniel Trippa, Cesare Campagnano, Maria Sofia Bucarelli +2
Machine Unlearning, the process of selectively eliminating the influence of certain data examples used during a model's training, has gained significant attention as a means for pr…
A topological description of loss surfaces based on Betti Numbers
Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini +2
In the context of deep learning models, attention has recently been paid to studying the surface of the loss function in order to better understand training with methods based on g…
On Generalization Bounds for Projective Clustering
Maria Sofia Bucarelli, Matilde Fjeldsø Larsen, Chris Schwiegelshohn +1
Given a set of points, clustering consists of finding a partition of a point set into clusters such that the center to which a point is assigned is as close as possible. Most c…