Moxian Qian

Neural Non-Equilibrium Hamiltonian Monte Carlo for Corrected Boltzmann Sampling

Moxian Qian

Sampling from an unnormalized Boltzmann density requires proposals that move probability mass globally while retaining enough path-probability information for statistical correction. We introduce Neural Non-Equilibrium Hamiltonian Monte Carlo (NHMC), a train-then-correct learned…Read more