arXiv stat.ML
· Papers
Leveraging generative models to assist Monte Carlo sampling
arXiv:2608.07648v1 Announce Type: new Abstract: Sampling high-dimensional probability distributions is a central task in scientific computing, with applications ranging from Bayesian inference to statistical physics and molecular simulation. Despite decades of methodological developments, two major challenges remain: s