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Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning
  and Levels-of-Experts

Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts

6 February 2024
Kun Wang
Hao Wu
Guibin Zhang
Junfeng Fang
Yuxuan Liang
Yuankai Wu
Roger Zimmermann
Yang Wang
ArXivPDFHTML

Papers citing "Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts"

11 / 11 papers shown
Title
Pre-Training Identification of Graph Winning Tickets in Adaptive
  Spatial-Temporal Graph Neural Networks
Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks
Wenying Duan
Tianxiang Fang
Hong Rao
Xiaoxi He
28
0
0
12 Jun 2024
SLFNet: Generating Semantic Logic Forms from Natural Language Using
  Semantic Probability Graphs
SLFNet: Generating Semantic Logic Forms from Natural Language Using Semantic Probability Graphs
Hao Wu
Fan Xu
26
3
0
29 Mar 2024
Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and
  Parameter Diffusion Guidance
Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance
Hao Wu
Fan Xu
Yifan Duan
Ziwei Niu
Weiyan Wang
Gaofeng Lu
Kun Wang
Yuxuan Liang
Yang Wang
DiffM
AI4CE
37
8
0
18 Mar 2024
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph
  Neural Networks
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks
Yifan Duan
Guibin Zhang
Shilong Wang
Xiaojiang Peng
Ziqi Wang
Junyuan Mao
Hao Wu
Xinke Jiang
Kun Wang
38
6
0
22 Feb 2024
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded
  Learning
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning
Chengping Rao
Pu Ren
Yang Liu
Hao-Lun Sun
AI4CE
23
26
0
28 Jan 2022
Hard Encoding of Physics for Learning Spatiotemporal Dynamics
Hard Encoding of Physics for Learning Spatiotemporal Dynamics
Chengping Rao
Hao-Lun Sun
Yang Liu
PINN
AI4CE
19
9
0
02 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
VideoGPT: Video Generation using VQ-VAE and Transformers
VideoGPT: Video Generation using VQ-VAE and Transformers
Wilson Yan
Yunzhi Zhang
Pieter Abbeel
A. Srinivas
ViT
VGen
237
482
0
20 Apr 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
203
2,254
0
18 Oct 2020
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
78
284
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
201
7,816
0
13 Jun 2015
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