Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data. - Umberto M. Tomasini; Antonio Sclocchi; Matthieu Wyart (ICML, 2022)

Failure and success of the spectral bias prediction for Kernel Ridge Regression: the case of low-dimensional data. - Umberto M. Tomasini; Antonio Sclocchi; Matthieu Wyart (CoRR, 2022)

How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model. - Leonardo Petrini; Francesco Cagnetta; Umberto M. Tomasini; Alessandro Favero; Matthieu Wyart (CoRR, 2023)

How deep convolutional neural networks lose spatial information with training. - Umberto M. Tomasini; Leonardo Petrini; Francesco Cagnetta; Matthieu Wyart (Mach. Learn. Sci. Technol., 2023)

How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model. - Umberto M. Tomasini; Matthieu Wyart (ICML, 2024)