Published July 15, 2024 | Version v1

Datasets and Model Predictions for "Scalable Spatiotemporal Prediction with Bayesian Neural Fields"

Authors/Creators

  • 1. ROR icon Carnegie Mellon University

Description

This repository contains the evaluation datasets and model predictions that appear in the research article Scalable Spatiotemporal Prediction with Bayesian Neural Fields (Saad et al., 2024). Refer to the README files in each zip file for additional information.

Files

datasets.zip

Files (3.4 GB)

Name Size
md5:82f3027e0388f66410ec8cf341105bba
109.4 MB Preview Download
md5:c67f9f77436ce3120f7547c3f242c825
395 Bytes Preview Download
md5:3ab330fdc3d3ce3aa329ae3764f64ef9
3.3 GB Preview Download

Additional details

Related works

Is described by
Journal article: 10.1038/S41467-024-51477-5 (DOI)
Is referenced by
Preprint: 10.48550/arXiv.2403.07657 (DOI)

Software

Repository URL
https://github.com/google/bayesnf
Programming language
Python
Development Status
Active