2018
GumBolt: Extending Gumbel trick to Boltzmann priors
NeurIPS 2018poster
Boltzmann machines (BMs) are appealing candidates for powerful priors in variational autoencoders (VAEs), as they are capable of capturing nontrivial and multi-modal distributions over discrete variables. However, non-differentiability of the discrete units prohibits using the reparameterization tri…