Notably, NVDM (Miao et al., 2016) employs variational autoencoder (VAE) (Kingma and Welling, 2013) to model topic inference and document generation.
nVDM consists of an encoder inferring topics from documents and a decoder generating documents from topics, where the latent topics are constrained by a Gaussian prior.