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
37 2023 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
29 2017 Multiscale regression on unknown manifolds W Liao, M Maggioni, S Vigogna
arXiv preprint arXiv:2101.05119, 2021
11 2021 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
11 2016 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
10 2021 Estimating multi-index models with response-conditional least squares T Klock, A Lanteri, S Vigogna
8 2021 Intrinsic Localization of Anisotropic Frames II: -Molecules P Grohs, S Vigogna
Journal of Fourier Analysis and Applications 21 (1), 182-205, 2015
8 2015 Conditional regression for single-index models A Lanteri, M Maggioni, S Vigogna
Bernoulli 28 (4), 3051-3078, 2022
5 2022 How many samples are needed to leverage smoothness? V Cabannes, S Vigogna
Advances in Neural Information Processing Systems 36, 2024
3 2024 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
3 2023 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
3 2021 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
3 2017 A case of exponential convergence rates for SVM V Cabannnes, S Vigogna
International Conference on Artificial Intelligence and Statistics, 359-374, 2023
2 2023 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
2 2022 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
2 2019 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 A Biased Kaczmarz Algorithm for Clustered Equations A Lanteri, M Maggioni, S Vigogna
New Statistical Developments in Data Science: SIS 2017, Florence, Italy …, 2019
2019 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