ESH_Dynamics-20
–Neural Information Processing Systems
In contrast to MCMC approaches like Hamiltonian Monte Carlo, no stochastic step is required. Instead, the proposed deterministic dynamics in an extended state space exactly sample the target distribution, specified by an energy function, under an assumption of ergodicity. Alternatively, the dynamics can be interpreted as a normalizing flow that samples a specified energy model without training.
Neural Information Processing Systems
Aug-14-2025, 16:53:49 GMT
- Country:
- Europe > United Kingdom
- England > Cambridgeshire > Cambridge (0.04)
- North America > United States
- California (0.14)
- Europe > United Kingdom
- Genre:
- Research Report (0.68)