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Fourier-domain Variational Formulation and Its Well-posedness for
  Supervised Learning

Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning

6 December 2020
Tao Luo
Zheng Ma
Zhiwei Wang
Zhi-Qin John Xu
Yaoyu Zhang
    OOD
ArXivPDFHTML

Papers citing "Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning"

4 / 4 papers shown
Title
Overview frequency principle/spectral bias in deep learning
Overview frequency principle/spectral bias in deep learning
Z. Xu
Yaoyu Zhang
Tao Luo
FaML
27
65
0
19 Jan 2022
Frequency Principle in Deep Learning Beyond Gradient-descent-based
  Training
Frequency Principle in Deep Learning Beyond Gradient-descent-based Training
Yuheng Ma
Zhi-Qin John Xu
Jiwei Zhang
19
7
0
04 Jan 2021
Multi-scale Deep Neural Network (MscaleDNN) for Solving
  Poisson-Boltzmann Equation in Complex Domains
Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains
Ziqi Liu
Wei Cai
Zhi-Qin John Xu
AI4CE
211
122
0
22 Jul 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural
  Networks
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
C. Pehlevan
139
201
0
07 Feb 2020
1