cs.LG, stat.ML

Disentanglement of Sources in a Multi-Stream Variational Autoencoder

arXiv:2510.15669v2 Announce Type: replace
Abstract: Variational autoencoders (VAEs) are among leading approaches to address the problem of learning disentangled representations. Typically a single VAE is used and disentangled representations are sough…