Information preservation with wasserstein autoencoders: generation consistency and adversarial robustness

Amongst the numerous variants Variational Autoencoder (VAE) has inspired, the Wasserstein Autoencoder (WAE) stands out due to its heightened generative quality and intriguing theoretical properties. WAEs consist of an encoding and a decoding network— forming a bottleneck— with the prime objective of...

Full description

Bibliographic Details

Published in:	Statistics and computing Vol. 35; no. 5
Main Authors:	Chakrabarty, Anish, Basu, Arkaprabha, Das, Swagatam
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Nature B.V 01.10.2025
Subjects:	Errors Neural networks Synthetic data Upper bounds
ISSN:	0960-3174, 1573-1375
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!