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Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the
  Approximation of PDEs

Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs

30 May 2023
Keju Tang
Jiayu Zhai
Xiaoliang Wan
Chao Yang
ArXivPDFHTML

Papers citing "Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs"

3 / 3 papers shown
Title
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation
Qi Wang
Yuan Mi
H. Wang
Yi Zhang
Ruizhi Chengze
Hongsheng Liu
J. Wen
Hao Sun
AI4CE
38
0
0
28 Jan 2025
Consensus-based construction of high-dimensional free energy surface
Consensus-based construction of high-dimensional free energy surface
Liyao Lyu
Huan Lei
11
0
0
08 Nov 2023
Bounded KRnet and its applications to density estimation and
  approximation
Bounded KRnet and its applications to density estimation and approximation
Lisheng Zeng
Xiaoliang Wan
Tao Zhou
15
5
0
15 May 2023
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