most citedOutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany

37 citations · 37 across the 1 of their papers we have counts for

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1 paper

stat.AP2020★ 37 cited

OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany

Stefan T. Radev, Frederik Graw, Simiao Chen +4

Mathematical models in epidemiology are an indispensable tool to determine the dynamics and important characteristics of infectious diseases. Apart from their scientific merit, the…