Using the uncertainty-penalized Bayesian information criterion (UBIC) originally proposed in Adaptive Uncertainty-Penalized Model Selection for Data-Driven PDE Discovery to discover governing PDEs.
- Please first install our modified pysindy package archived at this OneDrive link (Password: UBIC). The more updated version is avaiable at this repository.
- Please visit the Example directory to run experiments.
- To use the L0BnB best-subset solver, please install the package.
@article{thanasutives2024adaptive,
author={Thanasutives, Pongpisit and Morita, Takashi and Numao, Masayuki and Fukui, Ken-ichi},
journal={IEEE Access},
title={Adaptive Uncertainty-Penalized Model Selection for Data-Driven PDE Discovery},
year={2024},
volume={12},
pages={13165-13182},
doi={10.1109/ACCESS.2024.3354819}
}
- UBIC-play and PDE-FIND are the development versions used to produce recent results in the paper.
- This repository with the PDE datasets included can be dowloaded at this OneDrive link (Password: UBIC).
- Please refer to the ``3D_exp'' folder for the GS experiment