| # Flow_Perturbation | |
| We introduce the flow perturbation method, which incorporates optimized stochastic perturbations into the flow. By reweighting trajectories generated by the perturbed flow, our method achieves | |
| unbiased sampling of the Boltzmann distribution with orders of magnitude speedup compared to both brute force | |
| Jacobian calculations and the Hutchinson estimator. | |
|  | |
| Publication | |
| ----------- | |
| Please find the arxiv preprint here: | |
| [https://arxiv.org/abs/2407.10666](https://arxiv.org/abs/2407.10666) | |
| Citation update is coming up... | |
| ``` | |
| @article{peng2024flow, | |
| title={Flow Perturbation to Accelerate Unbiased Sampling of Boltzmann distribution}, | |
| author={Peng, Xin and Gao, Ang}, | |
| journal={arXiv preprint arXiv:2407.10666}, | |
| year={2024} | |
| } | |
| ``` | |
| *** | |
| # Project GitHub Repository | |
| * The GitHub repository for this project is available at: | |
| * https://github.com/XinPeng76/Flow_Perturbation | |