The implementation of our ICML-2024 (Spotlight) paper "Neural Jump-Diffusion Temporal Point Processes".

The real-world datasets are from "EasyTPP" and "NHP".

1. Install the dependencies

conda env create -f environment.yml

2. Activate the conda environment

conda activate NJDTPP

3. Unzip the data

unzip data.zip

Go to the source directory:

cd experiments

This directory contains all experiments on three synthetic and six real-world datasets, for example:

• Earthquake dataset

python earthquake.py

If you find this code useful, please consider citing our paper. Thanks!

@inproceedings{zhang2024neural,
  title={Neural Jump-Diffusion Temporal Point Processes},
  author={Zhang, Shuai and Zhou, Chuan and Liu, Yang and Zhang, Peng and Lin, Xixun and Ma, Zhi-Ming},
  booktitle={International Conference on Machine Learning},
  year={2024}
}

Parts of this code are based on and/or copied from the code of "NJSDE" and "SAHP".