Stefano Vigogna

According to our database, Stefano Vigogna authored at least 11 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Lipschitz Spaces View of Infinitely Wide Shallow Neural Networks.

Francesca Bartolucci, Marcello Carioni, José A. Iglesias, Yury Korolev, Emanuele Naldi, Stefano Vigogna

SIAM J. Math. Anal., 2026

2025

Fractal and Regular Geometry of Deep Neural Networks.

Simmaco Di Lillo, Domenico Marinucci, Michele Salvi, Stefano Vigogna

CoRR, April, 2025

Spectral Complexity of Deep Neural Networks.

Simmaco Di Lillo, Domenico Marinucci, Michele Salvi, Stefano Vigogna

SIAM J. Math. Data Sci., 2025

2024

Neural reproducing kernel Banach spaces and representer theorems for deep networks.

Francesca Bartolucci, Ernesto De Vito, Lorenzo Rosasco, Stefano Vigogna

CoRR, 2024

2023

How many samples are needed to leverage smoothness?

Vivien Cabannes, Stefano Vigogna

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Case of Exponential Convergence Rates for SVM.

Vivien Cabannes, Stefano Vigogna

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Multiclass learning with margin: exponential rates with no bias-variance trade-off.

Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco

Proceedings of the International Conference on Machine Learning, 2022

2021

Understanding neural networks with reproducing kernel Banach spaces.

Francesca Bartolucci, Ernesto De Vito, Lorenzo Rosasco, Stefano Vigogna

CoRR, 2021

Multiscale regression on unknown manifolds.

Wenjing Liao, Mauro Maggioni, Stefano Vigogna

CoRR, 2021

ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions.

Luigi Carratino, Stefano Vigogna, Daniele Calandriello, Lorenzo Rosasco

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2016

Learning adaptive multiscale approximations to data and functions near low-dimensional sets.

Wenjing Liao, Mauro Maggioni, Stefano Vigogna

Proceedings of the 2016 IEEE Information Theory Workshop, 2016