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Why Shallow Networks Struggle with Approximating and Learning High
  Frequency: A Numerical Study

Why Shallow Networks Struggle with Approximating and Learning High Frequency: A Numerical Study

29 June 2023
Shijun Zhang
Hongkai Zhao
Yimin Zhong
Haomin Zhou
ArXivPDFHTML

Papers citing "Why Shallow Networks Struggle with Approximating and Learning High Frequency: A Numerical Study"

3 / 3 papers shown
Title
On the expressiveness and spectral bias of KANs
On the expressiveness and spectral bias of KANs
Yixuan Wang
Jonathan W. Siegel
Ziming Liu
Thomas Y. Hou
32
9
0
02 Oct 2024
Neural Redshift: Random Networks are not Random Functions
Neural Redshift: Random Networks are not Random Functions
Damien Teney
A. Nicolicioiu
Valentin Hartmann
Ehsan Abbasnejad
86
18
0
04 Mar 2024
Neural Network Architecture Beyond Width and Depth
Neural Network Architecture Beyond Width and Depth
Zuowei Shen
Haizhao Yang
Shijun Zhang
3DV
MDE
31
13
0
19 May 2022
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