This repository contains the code for the paper
- Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
To generate the data-set, use,
python generate_data.py
To train MCNP, use
python main.py
If you find our work useful in your research, please consider citing:
@misc{zhang2023monte,
title={Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation},
author={Rui Zhang and Qi Meng and Rongchan Zhu and Yue Wang and Wenlei Shi and Shihua Zhang and Zhi-Ming Ma and Tie-Yan Liu},
year={2023},
eprint={2302.05104},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
If you have any questions, please feel free to contact me via: rayzhang@amss.ac.cn