most citedAdversarially trained LSTMs on reduced order models of urban air pollution simulations

13 citations · 13 across the 1 of their papers we have counts for

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1 paper

cs.LG2021★ 13 cited

Adversarially trained LSTMs on reduced order models of urban air pollution simulations

César Quilodrán-Casas, Rossella Arcucci, Christopher Pain +1

This paper presents an approach to improve computational fluid dynamics simulations forecasts of air pollution using deep learning. Our method, which integrates Principal Component…