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SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
Author(s) -
Konstantin Klemmer,
Tianlin Xu,
Beatrice Acciaio,
Daniel B. Neill
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i4.20375
Subject(s) - autoregressive model , embedding , computer science , autocorrelation , generative model , metric (unit) , gaussian , synthetic data , artificial intelligence , theoretical computer science , algorithm , generative grammar , mathematics , econometrics , statistics , operations management , physics , quantum mechanics , economics

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