Towards Visually Explaining Variational Autoencoders

Towards Visually Explaining Variational Autoencoders

18 November 2019

Srikrishna Karanam

Ziyan Wu

Richard J. Radke

Papers citing "Towards Visually Explaining Variational Autoencoders"

4 / 104 papers shown

Title
Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome E. Chotzoglou Thomas Day Jeremy Tan Jacqueline Matthew D. Lloyd Reza Razavi J. Simpson Bernhard Kainz MedIm 82 8 0 15 Nov 2020
Explainable Deep One-Class Classification Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Marius Kloft Klaus-Robert Muller 13 198 0 03 Jul 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 8 383 0 29 Jun 2020
Explaining Neural Networks by Decoding Layer Activations Johannes Schneider Michalis Vlachos AI4CE 14 15 0 27 May 2020