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Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for
  High-Dimensional Fokker-Planck-Levy Equations

Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Levy Equations

17 June 2024
Zheyuan Hu
Zhongqiang Zhang
George Karniadakis
Kenji Kawaguchi
ArXivPDFHTML

Papers citing "Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Levy Equations"

3 / 3 papers shown
Title
Hutchinson Trace Estimation for High-Dimensional and High-Order
  Physics-Informed Neural Networks
Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks
Zheyuan Hu
Zekun Shi
George Karniadakis
Kenji Kawaguchi
AI4CE
PINN
44
22
0
22 Dec 2023
Bias-Variance Trade-off in Physics-Informed Neural Networks with
  Randomized Smoothing for High-Dimensional PDEs
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs
Zheyuan Hu
Zhouhao Yang
Yezhen Wang
George Karniadakis
Kenji Kawaguchi
46
9
0
26 Nov 2023
Physics-informed neural networks with hard constraints for inverse
  design
Physics-informed neural networks with hard constraints for inverse design
Lu Lu
R. Pestourie
Wenjie Yao
Zhicheng Wang
F. Verdugo
Steven G. Johnson
PINN
39
494
0
09 Feb 2021
1