Neural reproducing kernel Banach spaces and representer theorems for deep networks

13 March 2024

Papers citing "Neural reproducing kernel Banach spaces and representer theorems for deep networks"

6 / 6 papers shown

Title
A Lipschitz spaces view of infinitely wide shallow neural networks Francesca Bartolucci Marcello Carioni José A. Iglesias Yury Korolev Emanuele Naldi S. Vigogna 23 0 0 18 Oct 2024
Which Spaces can be Embedded in $L_p$ -type Reproducing Kernel Banach Space? A Characterization via Metric Entropy Yiping Lu Daozhe Lin Qiang Du 36 0 0 14 Oct 2024
Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow T. J. Heeringa Tim Roith Christoph Brune Martin Burger 18 0 0 05 Dec 2023
Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression Joseph Shenouda Rahul Parhi Kangwook Lee Robert D. Nowak 31 12 0 25 May 2023
From Kernel Methods to Neural Networks: A Unifying Variational Formulation M. Unser 48 7 0 29 Jun 2022
Understanding neural networks with reproducing kernel Banach spaces Francesca Bartolucci E. De Vito Lorenzo Rosasco S. Vigogna 47 50 0 20 Sep 2021