Augmenting correlation structures in spatial data using deep generative models

23 May 2019Konstantin KlemmerAdriano KoshiyamaSebastian Flennerhag

State-of-the-art deep learning methods have shown a remarkable capacity to model complex data domains, but struggle with geospatial data. In this paper, we introduce SpaceGAN, a novel generative model for geospatial domains that learns neighbourhood structures through spatial conditioning... (read more)

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