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2204.02583
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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
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Papers citing
"PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations"
3 / 3 papers shown
Title
Random Grid Neural Processes for Parametric Partial Differential Equations
Arnaud Vadeboncoeur
Ieva Kazlauskaite
Y. Papandreou
F. Cirak
Mark Girolami
Ömer Deniz Akyildiz
AI4CE
35
11
0
26 Jan 2023
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
E. Kharazmi
Zhongqiang Zhang
George Karniadakis
135
510
0
11 Mar 2020
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
39
96
0
06 Feb 2020
1