Semi-supervised Neural Networks solve an inverse problem for modeling Covid-19 spread, published at NeurIPS 2020 Workshop
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About this project
In this work, we study the spread of COVID-19 using a semi-supervised neural network and assuming a passive part of the population remains isolated from the virus dynamics. We applied a novel method do solve differential equations with Neural Networks.
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