3 papers
cs.LG2025
Additive decomposition of one-dimensional signals using Transformers
Samuele Salti, Andrea Pinto, Alessandro Lanza +1
One-dimensional signal decomposition is a well-established and widely used technique across various scientific fields. It serves as a highly valuable pre-processing step for data a…
cs.LG2024
On Generalization Bounds for Neural Networks with Low Rank Layers
Andrea Pinto, Akshay Rangamani, Tomaso Poggio
While previous optimization results have suggested that deep neural networks tend to favour low-rank weight matrices, the implications of this inductive bias on generalization boun…
cs.LG2024
How Neural Networks Learn the Support is an Implicit Regularization Effect of SGD
Pierfrancesco Beneventano, Andrea Pinto, Tomaso Poggio
We investigate the ability of deep neural networks to identify the support of the target function. Our findings reveal that mini-batch SGD effectively learns the support in the fir…