SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss

30 September 2021

Papers citing "SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss"

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Title
Reflections from the Workshop on AI-Assisted Decision Making for Conservation Lily Xu Esther Rolf Sara Beery J. Bennett T. Berger-Wolf ... P. Moorcroft Jonathan Palmer Andrew Perrault D. Thau Milind Tambe 35 3 0 17 Jul 2023
AtmoDist: Self-supervised Representation Learning for Atmospheric Dynamics Sebastian Hoffmann C. Lessig AI4Cl 24 8 0 02 Feb 2022
Positional Encoder Graph Neural Networks for Geographic Data Konstantin Klemmer Nathan Safir Daniel B. Neill GNN 16 33 0 19 Nov 2021
Generative modeling of spatio-temporal weather patterns with extreme event conditioning Konstantin Klemmer Sudipan Saha M. Kahl Tianlin Xu Xiaoxiang Zhu AI4CE 23 11 0 26 Apr 2021
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 72 390 0 20 Oct 2016