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A unified Fourier slice method to derive ridgelet transform for a
  variety of depth-2 neural networks

A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks

25 February 2024
Sho Sonoda
Isao Ishikawa
Masahiro Ikeda
ArXivPDFHTML

Papers citing "A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks"

5 / 5 papers shown
Title
Function-Space Optimality of Neural Architectures with Multivariate Nonlinearities
Function-Space Optimality of Neural Architectures with Multivariate Nonlinearities
Rahul Parhi
Michael Unser
39
4
0
05 Oct 2023
Convex Analysis of the Mean Field Langevin Dynamics
Convex Analysis of the Mean Field Langevin Dynamics
Atsushi Nitanda
Denny Wu
Taiji Suzuki
MLT
53
63
0
25 Jan 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
161
1,095
0
27 Apr 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
143
289
0
05 Nov 2018
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
111
551
0
27 Feb 2015
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