Bayesian Autoencoders for Drift Detection in Industrial Environments

28 July 2021

Papers citing "Bayesian Autoencoders for Drift Detection in Industrial Environments"

5 / 5 papers shown

Title
Trading off Relevance and Revenue in the Jobs Marketplace: Estimation, Optimization and Auction Design Farzad Pourbabaee S. Peter McCrory Luke Simon Di Mo 36 0 0 04 Apr 2025
A method to benchmark high-dimensional process drift detection Edgar Wolf Tobias Windisch AI4TS 26 0 0 05 Sep 2024
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection Bang Xiang Yong Alexandra Brintrup UQCV 15 24 0 25 Feb 2022
Coalitional Bayesian Autoencoders -- Towards explainable unsupervised deep learning Bang Xiang Yong Alexandra Brintrup 19 6 0 19 Oct 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 279 9,136 0 06 Jun 2015