Scalable Spatiotemporal Prediction with Bayesian Neural Fields

Feras Saad, Jacob Burnim, Colin Carroll +4

Spatiotemporal datasets, which consist of spatially-referenced time series, are ubiquitous in diverse applications, such as air pollution monitoring, disease tracking, and cloud-de…