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Stefano Vigogna
Stefano Vigogna
Verified email at mat.uniroma2.it
Title
Cited by
Cited by
Year
Understanding neural networks with reproducing kernel Banach spaces
F Bartolucci, E De Vito, L Rosasco, S Vigogna
Applied and Computational Harmonic Analysis 62, 194-236, 2023
422023
Coorbit spaces with voice in a Fréchet space
S Dahlke, F De Mari, E De Vito, D Labate, G Steidl, G Teschke, S Vigogna
Journal of Fourier Analysis and Applications 23, 141-206, 2017
292017
Multiscale regression on unknown manifolds
W Liao, M Maggioni, S Vigogna
arXiv preprint arXiv:2101.05119, 2021
112021
Learning adaptive multiscale approximations to data and functions near low-dimensional sets
W Liao, M Maggioni, S Vigogna
2016 IEEE Information Theory Workshop (ITW), 226-230, 2016
112016
Park: Sound and efficient kernel ridge regression by feature space partitions
L Carratino, S Vigogna, D Calandriello, L Rosasco
Advances in Neural Information Processing Systems 34, 6430-6441, 2021
102021
Estimating multi-index models with response-conditional least squares
T Klock, A Lanteri, S Vigogna
82021
Intrinsic Localization of Anisotropic Frames II: -Molecules
P Grohs, S Vigogna
Journal of Fourier Analysis and Applications 21 (1), 182-205, 2015
82015
A quantitative functional central limit theorem for shallow neural networks
V Cammarota, D Marinucci, M Salvi, S Vigogna
Modern Stochastics: Theory and Applications 11 (1), 85-108, 2023
52023
Conditional regression for single-index models
A Lanteri, M Maggioni, S Vigogna
Bernoulli 28 (4), 3051-3078, 2022
52022
Construction and Monte Carlo estimation of wavelet frames generated by a reproducing kernel
E De Vito, Z Kereta, V Naumova, L Rosasco, S Vigogna
Journal of Fourier Analysis and Applications 27, 1-39, 2021
32021
Continuous and discrete frames generated by the evolution flow of the Schrödinger equation
GS Alberti, S Dahlke, F De Mari, E De Vito, S Vigogna
Analysis and Applications 15 (06), 915-937, 2017
32017
How many samples are needed to leverage smoothness?
V Cabannes, S Vigogna
Advances in Neural Information Processing Systems 36, 2024
22024
A case of exponential convergence rates for SVM
V Cabannnes, S Vigogna
International Conference on Artificial Intelligence and Statistics, 359-374, 2023
22023
Multiclass learning with margin: exponential rates with no bias-variance trade-off
S Vigogna, G Meanti, E De Vito, L Rosasco
International Conference on Machine Learning, 22260-22269, 2022
22022
Monte Carlo wavelets: a randomized approach to frame discretization
Z Kereta, S Vigogna, V Naumova, L Rosasco, E De Vito
2019 13th International conference on Sampling Theory and Applications …, 2019
22019
A Biased Kaczmarz Algorithm for Clustered Equations
A Lanteri, M Maggioni, S Vigogna
New Statistical Developments in Data Science: SIS 2017, Florence, Italy …, 2019
12019
Spectral complexity of deep neural networks
S Di Lillo, D Marinucci, M Salvi, S Vigogna
arXiv preprint arXiv:2405.09541, 2024
2024
Neural reproducing kernel Banach spaces and representer theorems for deep networks
F Bartolucci, E De Vito, L Rosasco, S Vigogna
arXiv preprint arXiv:2403.08750, 2024
2024
Geometric classification of semidirect products in the maximal parabolic subgroup of
F De Mari, E De Vito, S Vigogna
Analysis and Applications 15 (02), 241-259, 2017
2017
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Articles 1–19