LEAPS: A Neural Sampling Algorithm for Discrete Distributions via Continuous-Time Markov Chains (‘Discrete Diffusion’)
Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to molecular dynamics and quantum physics, the…