2025
HollowFlow: Efficient Sample Likelihood Evaluation using Hollow Message Passing
NeurIPS 2025poster
Flow and diffusion-based models have emerged as powerful tools for scientific applications, particularly for sampling non-normalized probability distributions, as exemplified by Boltzmann Generators (BGs). A critical challenge in deploying these models is their reliance on sample likelihood computat…