Scalable Spatiotemporal Prediction with Bayesian Neural Fields

1 code implementation • 12 Mar 2024 • Feras Saad, Jacob Burnim, Colin Carroll, Brian Patton, Urs Köster, Rif A. Saurous, Matthew Hoffman

Spatiotemporal datasets, which consist of spatially-referenced time series, are ubiquitous in many scientific and business-intelligence applications, such as air pollution monitoring, disease tracking, and cloud-demand forecasting.

Bayesian Inference Uncertainty Quantification