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Augmenting correlation structures in spatial data using deep generative
  models

Augmenting correlation structures in spatial data using deep generative models

23 May 2019
Konstantin Klemmer
Adriano Soares Koshiyama
Sebastian Flennerhag
ArXivPDFHTML

Papers citing "Augmenting correlation structures in spatial data using deep generative models"

4 / 4 papers shown
Title
Positional Encoder Graph Neural Networks for Geographic Data
Positional Encoder Graph Neural Networks for Geographic Data
Konstantin Klemmer
Nathan Safir
Daniel B. Neill
GNN
30
34
0
19 Nov 2021
Loosely Conditioned Emulation of Global Climate Models With Generative
  Adversarial Networks
Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial Networks
Alexis Ayala
Christopher Drazic
Brian Hutchinson
Ben Kravitz
Claudia Tebaldi
GAN
AI4Cl
AI4CE
33
6
0
29 Apr 2021
A Novel Framework for Spatio-Temporal Prediction of Environmental Data
  Using Deep Learning
A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning
Federico Amato
Fabian Guignard
Sylvain Robert
M. Kanevski
AI4Cl
AI4CE
24
3
0
23 Jul 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
239
7,916
0
13 Jun 2015
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