Search Results

• An Adaptive Physics-Informed Neural Network with Two-Stage Learning Strategy to Solve Partial Differential Equations

  Shuyan Shi, Ding Liu, Ruirui Ji, Yuchao Han

  2023-04-10

  40298 3186 Pages:298-322

• Convergence Analysis of OT-Flow for Sample Generation

  Yang Jing, Lei Li

  2025-05-16

  7488 584 Pages:325-352

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

  Jingrun Chen, Rui Du, Panchi Li, Liyao Lyu

  2021-01-26

  46499 2782 Pages:377-404

• Solving the Helmholtz Equation by Sparse Fundamental Solution Neural Network

  Zhiwen Wang, Minxin Chen, Jingrun Chen

  2025-10-22

  5937 506 Pages:845-880

• An Efficient Mapped WENO Scheme Using Approximate Constant Mapping

  Ruo Li, Wei Zhong

  2022-02-09

  45059 3792 Pages:1-41

• Nonlinear Level Set Learning for Function Approximation on Sparse Data with Applications to Parametric Differential Equations

  Anthony Gruber, Max Gunzburger, Lili Ju, Yuankai Teng, Zhu Wang

  2021-09-10

  59942 3099 Pages:839-861

• A Local Deep Learning Method for Solving High Order Partial Differential Equations

  Jiang Yang, Quanhui Zhu

  2022-02-09

  47233 4619 Pages:42-67

• Sequential Subspace Clustering via Joint Capped $ℓ_2$ and $ℓ_{2,p}$ Norm Minimization with Convergence Guarantee

  Zhihui Tu, Jian Lu, Wenyu Hu, Shan Liu

  2026-04-05

  47 37

• On the Recovery of Source Term for Fractional Evolution PDEs by MC-fPINNs

  Rui Sheng, Jerry Zhijian Yang, Cheng Yuan

  2025-05-16

  7641 574 Pages:487-520