Stefano Vigogna

16 papers A* 3A 1B 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fractal and Regular Geometry of Deep Neural Networks. CoRR Simmaco Di Lillo, Domenico Marinucci, Michele Salvi, Stefano Vigogna
2025	J	`jnl`	Spectral Complexity of Deep Neural Networks. SIAM J. Math. Data Sci. Simmaco Di Lillo, Domenico Marinucci, Michele Salvi, Stefano Vigogna
2024	J	`jnl`	A Lipschitz spaces view of infinitely wide shallow neural networks. CoRR Francesca Bartolucci, Marcello Carioni, José A. Iglesias, Yury Korolev, Emanuele Naldi, Stefano Vigogna
2024	J	`jnl`	Neural reproducing kernel Banach spaces and representer theorems for deep networks. CoRR Francesca Bartolucci, Ernesto De Vito, Lorenzo Rosasco, Stefano Vigogna
2024	J	`jnl`	Spectral complexity of deep neural networks. CoRR Simmaco Di Lillo, Domenico Marinucci, Michele Salvi, Stefano Vigogna
2023	A	`conf`	A Case of Exponential Convergence Rates for SVM. AISTATS Vivien Cabannes, Stefano Vigogna
2023	A*	`conf`	How many samples are needed to leverage smoothness? NeurIPS Vivien Cabannes, Stefano Vigogna
2023	J	`jnl`	How many samples are needed to leverage smoothness? CoRR Vivien Cabannes, Stefano Vigogna
2022	J	`jnl`	A Case of Exponential Convergence Rates for SVM. CoRR Vivien Cabannes, Stefano Vigogna
2022	A*	`conf`	Multiclass learning with margin: exponential rates with no bias-variance trade-off. ICML Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco
2022	J	`jnl`	Multiclass learning with margin: exponential rates with no bias-variance trade-off. CoRR Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco
2021	J	`jnl`	Multiscale regression on unknown manifolds. CoRR Wenjing Liao, Mauro Maggioni, Stefano Vigogna
2021	A*	`conf`	ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions. NeurIPS Luigi Carratino, Stefano Vigogna, Daniele Calandriello, Lorenzo Rosasco
2021	J	`jnl`	ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions. CoRR Luigi Carratino, Stefano Vigogna, Daniele Calandriello, Lorenzo Rosasco
2021	J	`jnl`	Understanding neural networks with reproducing kernel Banach spaces. CoRR Francesca Bartolucci, Ernesto De Vito, Lorenzo Rosasco, Stefano Vigogna
2016	B	`conf`	Learning adaptive multiscale approximations to data and functions near low-dimensional sets. ITW Wenjing Liao, Mauro Maggioni, Stefano Vigogna