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Physics-informed generative neural network: an application to
  troposphere temperature prediction

Physics-informed generative neural network: an application to troposphere temperature prediction

8 July 2021
Zhihao Chen
Jie Gao
Weikai Wang
Zheng Yan
    AI4CE
ArXivPDFHTML

Papers citing "Physics-informed generative neural network: an application to troposphere temperature prediction"

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
34
29
0
29 May 2023
Random matrix analysis of deep neural network weight matrices
Random matrix analysis of deep neural network weight matrices
M. Thamm
Max Staats
B. Rosenow
35
12
0
28 Mar 2022
Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
Nicolas Thome
AI4CE
PINN
89
289
0
03 Mar 2020
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,906
0
13 Jun 2015
1