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PAGP: A physics-assisted Gaussian process framework with active learning
  for forward and inverse problems of partial differential equations

PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations

6 April 2022
Jiahao Zhang
Shiqi Zhang
Guang Lin
ArXivPDFHTML

Papers citing "PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations"

2 / 2 papers shown
Title
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain
  Decomposition
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
E. Kharazmi
Zhongqiang Zhang
George Karniadakis
125
508
0
11 Mar 2020
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian
  Process: A New Insight into Machine Learning Applications
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications
Yun Yuan
X. Yang
Zhao Zhang
Shandian Zhe
AI4CE
34
95
0
06 Feb 2020
1