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cs.LG2023
Neural parameter calibration and uncertainty quantification for epidemic forecasting
Thomas Gaskin, Tim Conrad, Grigorios A. Pavliotis +1
The recent COVID-19 pandemic has thrown the importance of accurately forecasting contagion dynamics and learning infection parameters into sharp focus. At the same time, effective…
cs.LG2023
Inferring networks from time series: a neural approach
Thomas Gaskin, Grigorios A. Pavliotis, Mark Girolami
Network structures underlie the dynamics of many complex phenomena, from gene regulation and foodwebs to power grids and social media. Yet, as they often cannot be observed directl…