publications

2024

1. ML4PS

   

   Efficient and Unbiased Sampling of Boltzmann Distributions via Consistency Models

   Fengzhe Zhang, J. He, L. Midgley, and 2 more authors

   In Machine Learning for Physical Sciences Workshop at NeurIPS, 2024

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   This work studies efficient, unbiased sampling of Boltzmann distributions by combining consistency models with importance sampling, reducing the number of function evaluations while preserving effective sample size on synthetic and equivariant n-body systems.

   @inproceedings{zhang2024efficient,
     title = {Efficient and Unbiased Sampling of Boltzmann Distributions via Consistency Models},
     author = {Zhang, Fengzhe and He, J. and Midgley, L. and Antor{\'a}n, J. and Hern{\'a}ndez-Lobato, Jos{\'e} Miguel},
     booktitle = {Machine Learning for Physical Sciences Workshop at NeurIPS},
     year = {2024},
   }