Function-Space Optimality of Neural Architectures with Multivariate Nonlinearities

5 October 2023

Papers citing "Function-Space Optimality of Neural Architectures with Multivariate Nonlinearities"

7 / 7 papers shown

Title
A Gap Between the Gaussian RKHS and Neural Networks: An Infinite-Center Asymptotic Analysis Akash Kumar Rahul Parhi Mikhail Belkin 36 0 0 22 Feb 2025
Mirror Descent on Reproducing Kernel Banach Spaces Akash Kumar Mikhail Belkin Parthe Pandit 30 0 0 18 Nov 2024
Random ReLU Neural Networks as Non-Gaussian Processes Rahul Parhi Pakshal Bohra Ayoub El Biari Mehrsa Pourya Michael Unser 49 1 0 16 May 2024
A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks Sho Sonoda Isao Ishikawa Masahiro Ikeda 27 4 0 25 Feb 2024
From Kernel Methods to Neural Networks: A Unifying Variational Formulation M. Unser 38 7 0 29 Jun 2022
Understanding neural networks with reproducing kernel Banach spaces Francesca Bartolucci E. De Vito Lorenzo Rosasco S. Vigogna 36 48 0 20 Sep 2021
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks Rahul Parhi Robert D. Nowak 46 37 0 18 Sep 2021