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Physics-informed semantic inpainting: Application to geostatistical
  modeling

Physics-informed semantic inpainting: Application to geostatistical modeling

19 September 2019
Q. Zheng
L. Zeng
Zhendan Cao
George Karniadakis
    GAN
ArXivPDFHTML

Papers citing "Physics-informed semantic inpainting: Application to geostatistical modeling"

4 / 4 papers shown
Title
Physics-Informed Computer Vision: A Review and Perspectives
Physics-Informed Computer Vision: A Review and Perspectives
C. Banerjee
Kien Nguyen
Clinton Fookes
G. Karniadakis
PINN
AI4CE
30
27
0
29 May 2023
Physical Knowledge Enhanced Deep Neural Network for Sea Surface
  Temperature Prediction
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction
Yuxin Meng
Feng Gao
Eric Rigall
Ran Dong
Junyu Dong
Q. Du
13
17
0
19 Apr 2023
Magnetic Field Prediction Using Generative Adversarial Networks
Magnetic Field Prediction Using Generative Adversarial Networks
Stefan Pollok
Nataniel Olden-Jorgensen
P. S. Jørgensen
Rasmus Bjørk
GAN
AI4CE
10
15
0
14 Mar 2022
Theory-guided Auto-Encoder for Surrogate Construction and Inverse
  Modeling
Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling
Nanzhe Wang
Haibin Chang
Dongxiao Zhang
AI4CE
15
48
0
17 Nov 2020
1