43 citations · 48 across the 4 of their papers we have counts for
4 papers
Mapping the Reddit Bot Ecosystem: Taxonomy and Evolution
Qiusi Sun, Thomas Gaskin, Branko Blagojevic +1
Automated agents increasingly participate in online communities, yet their population structure and roles remain poorly understood. Using a dataset of 3,389 identified bots and the…
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…
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…
Neural parameter calibration for large-scale multi-agent models
Thomas Gaskin, Grigorios A. Pavliotis, Mark Girolami
Computational models have become a powerful tool in the quantitative sciences to understand the behaviour of complex systems that evolve in time. However, they often contain a pote…