Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection

25 February 2022

Papers citing "Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection"

4 / 4 papers shown

Title
Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detection Yunbo Long Zhengyang Ling Sam Brook Duncan McFarlane Alexandra Brintrup 28 0 0 24 Sep 2024
Explainability through uncertainty: Trustworthy decision-making with neural networks Arthur Thuy Dries F. Benoit 46 13 0 15 Mar 2024
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction Xu Tan Jiawei Yang Junqi Chen S. Rahardja S. Rahardja UQCV 25 1 0 03 Apr 2023
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015