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Generative Adversarial Networks for Spatio-temporal Data: A Survey

Generative Adversarial Networks for Spatio-temporal Data: A Survey

18 August 2020
Nan Gao
Hao Xue
Wei Shao
Sichen Zhao
K. K. Qin
Arian Prabowo
Mohammad Saiedur Rahaman
Flora Salim
    GAN
    AI4TS
    AI4CE
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Papers citing "Generative Adversarial Networks for Spatio-temporal Data: A Survey"

10 / 10 papers shown
Title
Collaborative Deterministic-Probabilistic Forecasting for Real-World Spatiotemporal Systems
Collaborative Deterministic-Probabilistic Forecasting for Real-World Spatiotemporal Systems
Zhi Sheng
Yuan Yuan
Yudi Zhang
Depeng Jin
Yong Li
DiffM
AI4CE
46
0
0
16 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review
Machine learning for modelling unstructured grid data in computational physics: a review
Sibo Cheng
Marc Bocquet
Weiping Ding
Tobias S. Finn
Rui Fu
...
Yong Zeng
Mingrui Zhang
Hao Zhou
Kewei Zhu
Rossella Arcucci
PINN
AI4CE
114
0
0
13 Feb 2025
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
Lei Ren
Haiteng Wang
Yang Tang
Yang Tang
Chunhua Yang
AI4TS
AI4CE
51
5
0
16 Jul 2024
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in
  Traffic Forecasting
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting
Arian Prabowo
Wei Shao
Hao Xue
Piotr Koniusz
Flora Salim
AI4TS
39
14
0
20 Feb 2023
Transformer-based Generative Adversarial Networks in Computer Vision: A
  Comprehensive Survey
Transformer-based Generative Adversarial Networks in Computer Vision: A Comprehensive Survey
S. Dubey
Satish Kumar Singh
ViT
41
33
0
17 Feb 2023
Synthetic flow-based cryptomining attack generation through Generative
  Adversarial Networks
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks
Alberto Mozo
Ángel González-Prieto
Antonio Agustin Pastor Perales
Sandra Gómez Canaval
Edgar Talavera
21
23
0
30 Jul 2021
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Eric L. Manibardo
I. Laña
Javier Del Ser
AI4TS
32
67
0
02 Dec 2020
C-RNN-GAN: Continuous recurrent neural networks with adversarial
  training
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
Olof Mogren
GAN
77
512
0
29 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
250
3,190
0
30 Oct 2016
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
7,904
0
13 Jun 2015
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