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  • On the Banach Spaces Associated with Multi-Layer ReLU Networks: Function Representation, Approximation Theory and Gradient Descent Dynamics

    Weinan E, Stephan Wojtowytsch
    2020-09-25
    43953 3849 Pages:387-440
  • Phase Diagram of Initial Condensation for Two-Layer Neural Networks

    Zheng-An Chen, Yuqing Li, Tao Luo, Zhangchen Zhou, Zhi-Qin John Xu
    2024-08-02
    23866 1689 Pages:448-514
  • Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections

    Jian-Feng Cai, Dong Li, Jiaze Sun, Ke Wang
    2021-08-31
    41142 3506 Pages:532-550
  • Understanding the Initial Condensation of Convolutional Neural Networks

    Zhangchen Zhou, Hanxu Zhou, Yuqing Li, Zhi-Qin John Xu
    2025-05-29
    8533 618 Pages:272-319
  • Towards an Understanding of Residual Networks Using Neural Tangent Hierarchy (NTH)

    Yuqing Li, Tao Luo, Nung Kwan Yip
    2022-11-07
    293310 3110 Pages:692-760
  • BINet: Learn to Solve Partial Differential Equations with Boundary Integral Networks

    Guochang Lin, Pipi Hu, Fukai Chen, Xiang Chen, Junqing Chen, Jun Wang, Zuoqiang Shi
    2023-02-14
    35439 3289 Pages:275-305
  • Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks

    Zhiwei Bai, Tao Luo, Zhi-Qin John Xu, Yaoyu Zhang
    2024-05-20
    21530 1934 Pages:350-389
  • An $L^2$ Analysis of Reinforcement Learning in High Dimensions with Kernel and Neural Network Approximation

    Jihao Long, Jiequn Han, Weinan E
    2022-05-30
    40069 3200 Pages:191-220
  • Towards a Mathematical Understanding of Neural Network-Based Machine Learning: What We Know and What We Don't

    Weinan E, Chao Ma, Lei Wu, Stephan Wojtowytsch
    2020-12-31
    50416 4551 Pages:561-615
1 - 9 of 9 items
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