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Theory of the Frequency Principle for General Deep Neural Networks

Theory of the Frequency Principle for General Deep Neural Networks

21 June 2019
Tao Luo
Zheng Ma
Zhi-Qin John Xu
Yaoyu Zhang
ArXivPDFHTML

Papers citing "Theory of the Frequency Principle for General Deep Neural Networks"

14 / 14 papers shown
Title
GlobalMamba: Global Image Serialization for Vision Mamba
GlobalMamba: Global Image Serialization for Vision Mamba
Chengkun Wang
Wenzhao Zheng
Jie Zhou
Jiwen Lu
Mamba
40
0
0
14 Oct 2024
Machine learning and domain decomposition methods -- a survey
Machine learning and domain decomposition methods -- a survey
A. Klawonn
M. Lanser
J. Weber
AI4CE
24
7
0
21 Dec 2023
Phase-shifted Adversarial Training
Phase-shifted Adversarial Training
Yeachan Kim
Seongyeon Kim
Ihyeok Seo
Bonggun Shin
AAML
OOD
24
0
0
12 Jan 2023
Wavelet Regularization Benefits Adversarial Training
Wavelet Regularization Benefits Adversarial Training
Jun Yan
Huilin Yin
Xiaoyang Deng
Zi-qin Zhao
Wancheng Ge
Hao Zhang
Gerhard Rigoll
AAML
19
2
0
08 Jun 2022
Overview frequency principle/spectral bias in deep learning
Overview frequency principle/spectral bias in deep learning
Z. Xu
Yaoyu Zhang
Tao Luo
FaML
33
66
0
19 Jan 2022
Embedding Principle: a hierarchical structure of loss landscape of deep
  neural networks
Embedding Principle: a hierarchical structure of loss landscape of deep neural networks
Yaoyu Zhang
Yuqing Li
Zhongwang Zhang
Tao Luo
Z. Xu
29
21
0
30 Nov 2021
The Discovery of Dynamics via Linear Multistep Methods and Deep
  Learning: Error Estimation
The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation
Q. Du
Yiqi Gu
Haizhao Yang
Chao Zhou
26
20
0
21 Mar 2021
Reproducing Activation Function for Deep Learning
Reproducing Activation Function for Deep Learning
Senwei Liang
Liyao Lyu
Chunmei Wang
Haizhao Yang
36
21
0
13 Jan 2021
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
21
7
0
04 Jan 2021
Fourier-domain Variational Formulation and Its Well-posedness for
  Supervised Learning
Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning
Tao Luo
Zheng Ma
Zhiwei Wang
Zhi-Qin John Xu
Yaoyu Zhang
OOD
44
4
0
06 Dec 2020
Wide-band butterfly network: stable and efficient inversion via
  multi-frequency neural networks
Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks
Matthew T.C. Li
L. Demanet
Leonardo Zepeda-Núnez
35
8
0
24 Nov 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
Cengiz Pehlevan
146
201
0
07 Feb 2020
Multi-scale Deep Neural Networks for Solving High Dimensional PDEs
Multi-scale Deep Neural Networks for Solving High Dimensional PDEs
Wei Cai
Zhi-Qin John Xu
AI4CE
16
38
0
25 Oct 2019
A Phase Shift Deep Neural Network for High Frequency Approximation and
  Wave Problems
A Phase Shift Deep Neural Network for High Frequency Approximation and Wave Problems
Wei Cai
Xiaoguang Li
Lizuo Liu
17
84
0
23 Sep 2019
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