AutoSTPP
Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inference of point process. It is capable of learning complicated underlying intensity functions, like a damped sine wave.
Install / Use
npx skills add Rose-STL-Lab/AutoSTPPInstalls into whichever agent you are using.
README
| Introduction
Automatic Integration for Neural Spatio-Temporal Point Process models (Auto-STPP) is a new paradigm for exact, efficient, non-parametric inference of spatiotemporal point process.
| Citation
[2310.06179] Automatic Integration for Spatiotemporal Neural Point Processes
@article{zhou2023automatic,
title={Automatic Integration for Spatiotemporal Neural Point Processes},
author={Zhou, Zihao and Yu, Rose},
journal={arXiv preprint arXiv:2310.06179},
year={2023}
}
| Installation
Dependencies: make, conda-lock
make create_environment
conda activate autoint-stpp
| Dataset Download
python src/download_data.py
| Training and Testing
Specify the parameters in configs/autoint_stpp.yaml and then run
make run_stpp config=autoint_stpp
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