Neural Non-Equilibrium Hamiltonian Monte Carlo for Corrected Boltzmann Sampling

Moxian Qian

Learned dynamical proposals can generate configurations without providing a tractable endpoint density. Nonequilibrium path probabilities offer a way to correct such proposals, but…