Continual repeated annealed flow transport Monte Carlo
We propose Continual Repeated Annealed Flow Transport Monte Carlo (CRAFT), a method that combines a sequential Monte Carlo (SMC) sampler (itself a generalization of Annealed Importance Sampling) with variational inference using normalizing flows. The normalizing flows are directly trained to transpo...
| Autors principals: | , , , |
|---|---|
| Format: | Conference item |
| Idioma: | English |
| Publicat: |
Journal of Machine Learning Research
2022
|