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  • Quasi-Monte Carlo Sampling for Solving Partial Differential Equations by Deep Neural Networks

    Jingrun Chen, Rui Du, Panchi Li, Liyao Lyu
    2021-01-26
    46361 2749 Pages:377-404
  • A Stabilized Physics Informed Neural Networks Method for Wave Equations

    Yuling Jiao, Yuhui Liu, Jerry Zhijian Yang, Cheng Yuan
    2024-12-11
    11793 1380 Pages:1100-1127
  • A Local Deep Learning Method for Solving High Order Partial Differential Equations

    Jiang Yang, Quanhui Zhu
    2022-02-09
    47124 4540 Pages:42-67
  • Error Analysis for Empirical Risk Minimization over Clipped ReLU Networks in Solving Linear Kolmogorov Partial Differential Equations

    Jichang Xiao, Xiaoqun Wang
    2024-12-11
    11943 1346 Pages:996-1017
  • Sparse Deep Neural Network for Nonlinear Partial Differential Equations

    Yuesheng Xu, Taishan Zeng
    2023-01-13
    34437 3135 Pages:58-78
  • MC-Nonlocal-PINNs: Handling Nonlocal Operators in PINNs via Monte Carlo Sampling

    Xiaodong Feng, Yue Qian, Wanfang Shen
    2023-08-29
    28323 2447 Pages:769-791
1 - 6 of 6 items
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