Umberto M. Tomasini

According to our database, Umberto M. Tomasini authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model.

Umberto M. Tomasini, Matthieu Wyart

CoRR, 2024

2023

How deep convolutional neural networks lose spatial information with training.

Umberto M. Tomasini, Leonardo Petrini, Francesco Cagnetta, Matthieu Wyart

Mach. Learn. Sci. Technol., December, 2023

How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model.

Leonardo Petrini, Francesco Cagnetta, Umberto M. Tomasini, Alessandro Favero, Matthieu Wyart

CoRR, 2023

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

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

Proceedings of the International Conference on Machine Learning, 2022