4 papers
Parameter Inference of Black Hole Images using Deep Learning in Visibility Space
Franc O, Pavlos Protopapas, Dominic W. Pesce +5
Using very long baseline interferometry, the Event Horizon Telescope (EHT) collaboration has resolved the shadows of two supermassive black holes. Model comparison is traditionally…
Restoring the Forecasting Power of Google Trends with Statistical Preprocessing
Candice Djorno, Mauricio Santillana, Shihao Yang
Google Trends reports how frequently specific queries are searched on Google over time. It is widely used in research and industry to gain early insights into public interest. Howe…
Unveiling individual and collective temporal patterns in the tanker shipping network
Kevin Teo, Naomi Arnold, Andrew Hone +4
The global shipping network, which moves over 80% of the world's goods, is not only a vital backbone of the global economy but also one of the most polluting industries. Studying h…
An Early Warning Approach to Monitor COVID-19 Activity with Multiple Digital Traces in Near Real-Time
Nicole E. Kogan, Leonardo Clemente, Parker Liautaud +14
Non-pharmaceutical interventions (NPIs) have been crucial in curbing COVID-19 in the United States (US). Consequently, relaxing NPIs through a phased re-opening of the US amid stil…