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Uniform Convergence of Deep Neural Networks with Lipschitz Continuous
  Activation Functions and Variable Widths

Uniform Convergence of Deep Neural Networks with Lipschitz Continuous Activation Functions and Variable Widths

2 June 2023
Yuesheng Xu
Haizhang Zhang
ArXivPDFHTML

Papers citing "Uniform Convergence of Deep Neural Networks with Lipschitz Continuous Activation Functions and Variable Widths"

4 / 4 papers shown
Title
Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep
  Learning
Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
Ronglong Fang
Yuesheng Xu
24
3
0
21 Oct 2024
Advancing the Understanding of Fixed Point Iterations in Deep Neural
  Networks: A Detailed Analytical Study
Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Study
Yekun Ke
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao-quan Song
61
3
0
15 Oct 2024
Convergence of Deep Convolutional Neural Networks
Convergence of Deep Convolutional Neural Networks
Yuesheng Xu
Haizhang Zhang
MLT
40
44
0
28 Sep 2021
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Zuowei Shen
Haizhao Yang
Shijun Zhang
101
115
0
28 Feb 2021
1