Collective dynamics of repeated inference in variational autoencoder rapidly find cluster structure
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-72593-4
Abstract: Deep neural networks are good at extracting low-dimensional subspaces (latent spaces) that represent the essential features inside a high-dimensional dataset. Deep generative models represented by variational autoencoders (VAEs) can generate and infer high-quality datasets, such… read more here.
Keywords: repeated inference; cluster structure; dynamics repeated; cluster ... See more keywords