Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution
Detection

Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection

11 December 2019

Erik A. Daxberger

José Miguel Hernández-Lobato

Papers citing "Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection"

19 / 19 papers shown

Title
Logit Disagreement: OoD Detection with Bayesian Neural Networks Kevin Raina UQCV BDL UD PER 66 0 0 24 Feb 2025
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 29 1 0 25 Oct 2023
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction Xu Tan Jiawei Yang Junqi Chen S. Rahardja S. Rahardja UQCV 9 1 0 03 Apr 2023
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components F. Arnez H. Espinoza A. Radermacher F. Terrier UQCV 19 4 0 12 Jan 2023
Do Bayesian Variational Autoencoders Know What They Don't Know? Misha Glazunov Apostolis Zarras UQCV BDL 25 5 0 29 Dec 2022
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems Clement Ruah Osvaldo Simeone Bashir M. Al-Hashimi 24 28 0 02 Dec 2022
Bayesian Continual Learning via Spiking Neural Networks N. Skatchkovsky Hyeryung Jang Osvaldo Simeone BDL 33 17 0 29 Aug 2022
Laplacian Autoencoders for Learning Stochastic Representations M. Miani Frederik Warburg Pablo Moreno-Muñoz Nicke Skafte Detlefsen Søren Hauberg UQCV BDL SSL 30 10 0 30 Jun 2022
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection Bang Xiang Yong Alexandra Brintrup UQCV 21 24 0 25 Feb 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 65 17 0 22 Feb 2022
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications Yeli Feng Daniel Jun Xian Ng Arvind Easwaran OODD 31 17 0 25 Jul 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty Zehao Xiao Jiayi Shen Xiantong Zhen Ling Shao Cees G. M. Snoek BDL UQCV OOD 29 39 0 09 May 2021
Generative Model-Enhanced Human Motion Prediction Anthony Bourached Ryan-Rhys Griffiths Robert J. Gray A. Jha P. Nachev 26 15 0 05 Oct 2020
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation Xuming Ran Mingkun Xu Lingrui Mei Qi Xu Quanying Liu OODD UQCV 36 50 0 16 Jul 2020
Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antorán Umang Bhatt T. Adel Adrian Weller José Miguel Hernández-Lobato UQCV BDL 40 111 0 11 Jun 2020
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 16 50 0 02 Jul 2019
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 224 1,338 0 12 Feb 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015