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Physics-informed Tensor-train ConvLSTM for Volumetric Velocity
  Forecasting of Loop Current
v1v2 (latest)

Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting of Loop Current

4 August 2020
Yu Huang
Yufei Tang
H. Zhuang
James H. VanZwieten
Laurent Chérubin
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting of Loop Current"

11 / 11 papers shown
Title
Differentiable Physics-informed Graph Networks
Differentiable Physics-informed Graph Networks
Sungyong Seo
Yan Liu
PINNAI4CE
79
67
0
08 Feb 2019
Graph networks as learnable physics engines for inference and control
Graph networks as learnable physics engines for inference and control
Alvaro Sanchez-Gonzalez
N. Heess
Jost Tobias Springenberg
J. Merel
Martin Riedmiller
R. Hadsell
Peter W. Battaglia
GNNAI4CEPINNOCL
210
600
0
04 Jun 2018
Tensorial Neural Networks: Generalization of Neural Networks and
  Application to Model Compression
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression
Jiahao Su
Jingling Li
Bobby Bhattacharjee
Furong Huang
36
20
0
25 May 2018
Physics Informed Deep Learning (Part II): Data-driven Discovery of
  Nonlinear Partial Differential Equations
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINNAI4CE
91
614
0
28 Nov 2017
Physics Informed Deep Learning (Part I): Data-driven Solutions of
  Nonlinear Partial Differential Equations
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINNAI4CE
82
929
0
28 Nov 2017
Deep Learning for Physical Processes: Incorporating Prior Scientific
  Knowledge
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
Emmanuel de Bézenac
Arthur Pajot
Patrick Gallinari
PINNAI4CE
107
318
0
21 Nov 2017
Long-term Forecasting using Higher Order Tensor RNNs
Long-term Forecasting using Higher Order Tensor RNNs
Rose Yu
Stephan Zheng
Anima Anandkumar
Yisong Yue
AI4TS
50
133
0
31 Oct 2017
Hidden Physics Models: Machine Learning of Nonlinear Partial
  Differential Equations
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations
M. Raissi
George Karniadakis
AI4CEPINN
75
1,137
0
02 Aug 2017
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual
  Networks
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks
Junbo Zhang
Yu Zheng
Dekang Qi
Ruiyuan Li
Xiuwen Yi
Tianrui Li
GNN3DPCHAIAI4TS
49
435
0
10 Jan 2017
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
566
8,004
0
13 Jun 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural
  Networks
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio
Oriol Vinyals
Navdeep Jaitly
Noam M. Shazeer
147
2,034
0
09 Jun 2015
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