Hamiltonian Variational Auto-Encoder
Variational Auto-Encoders (VAEs) have become very popular techniques to perform inference and learning in latent variable models as they allow us to leverage the rich representational power of neural networks to obtain flexible approximations of the posterior of latent variables as well as tight evi...
| Main Authors: | , , |
|---|---|
| Format: | Journal article |
| Published: |
Massachusetts Institute of Technology Press
2019
|