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Comparing Spectral Bias and Robustness For Two-Layer Neural Networks:
  SGD vs Adaptive Random Fourier Features

Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features

1 February 2024
Aku Kammonen
Lisi Liang
Anamika Pandey
Raúl Tempone
ArXivPDFHTML

Papers citing "Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features"

4 / 4 papers shown
Title
Adaptive Random Fourier Features Training Stabilized By Resampling With Applications in Image Regression
Adaptive Random Fourier Features Training Stabilized By Resampling With Applications in Image Regression
Aku Kammonen
Anamika Pandey
E. von Schwerin
Raúl Tempone
35
0
0
08 Oct 2024
Deep Learning without Global Optimization by Random Fourier Neural Networks
Deep Learning without Global Optimization by Random Fourier Neural Networks
Owen Davis
Gianluca Geraci
Mohammad Motamed
BDL
60
0
0
16 Jul 2024
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a
  Polynomial Net Study
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
Yongtao Wu
Zhenyu Zhu
Fanghui Liu
Grigorios G. Chrysos
V. Cevher
28
10
0
16 Sep 2022
Wind Field Reconstruction with Adaptive Random Fourier Features
Wind Field Reconstruction with Adaptive Random Fourier Features
Jonas Kiessling
Emanuel Ström
Raúl Tempone
32
8
0
04 Feb 2021
1