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Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection

11 December 2019

Erik A. Daxberger

José Miguel Hernández-Lobato

UQCV

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

41 / 41 papers shown

Title
Can We Ignore Labels In Out of Distribution Detection? Hong Yang Qi Yu Travis Desel OODD 72 0 0 20 Apr 2025
Bayesian generative models can flag performance loss, bias, and out-of-distribution image content Miguel López-Pérez M. Miani Valery Naranjo Søren Hauberg Aasa Feragen OOD MedIm 132 0 0 21 Mar 2025
Generative Uncertainty in Diffusion Models Metod Jazbec Eliot Wong-Toi Guoxuan Xia Dan Zhang Eric T. Nalisnick Stephan Mandt DiffM 127 1 0 28 Feb 2025
Logit Disagreement: OoD Detection with Bayesian Neural Networks Kevin Raina UQCV BDL UD PER 167 0 0 24 Feb 2025
Unsupervised Hybrid framework for ANomaly Detection (HAND) -- applied to Screening Mammogram Zhemin Zhang Bhavika Patel Bhavik Patel Imon Banerjee 66 0 0 17 Sep 2024
Decoder ensembling for learned latent geometries Stas Syrota Pablo Moreno-Muñoz Søren Hauberg DRL AI4CE 67 2 0 14 Aug 2024
A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective Alberto Caron Chris Hicks V. Mavroudis OODD 151 2 0 05 May 2024
Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks Alexander M¨ollers Alexander Immer Elvin Isufi Vincent Fortuin SSL BDL UQCV 125 1 0 30 Nov 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 97 1 0 25 Oct 2023
Adversarial Bayesian Augmentation for Single-Source Domain Generalization Sheng Cheng Tejas Gokhale Yezhou Yang OOD 67 16 0 18 Jul 2023
Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent Representation Misha Glazunov Apostolis Zarras AAML DRL 55 1 0 16 Jun 2023
Fully Bayesian VIB-DeepSSM Jadie Adams Shireen Y. Elhabian 59 10 0 09 May 2023
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction Xu Tan Jiawei Yang Junqi Chen S. Rahardja S. Rahardja UQCV 82 2 0 03 Apr 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes Ba-Hien Tran Babak Shahbaba Stephan Mandt Maurizio Filippone SyDa BDL UQCV 81 7 0 09 Feb 2023
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components F. Arnez H. Espinoza A. Radermacher F. Terrier UQCV 70 5 0 12 Jan 2023
Do Bayesian Variational Autoencoders Know What They Don't Know? Misha Glazunov Apostolis Zarras UQCV BDL 63 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 220 29 0 02 Dec 2022
Digital Twin-Based Multiple Access Optimization and Monitoring via Model-Driven Bayesian Learning Clement Ruah Osvaldo Simeone Bashir M. Al-Hashimi 83 6 0 11 Oct 2022
Leveraging variational autoencoders for multiple data imputation Breeshey Roskams-Hieter J. Wells S. Wade DRL 54 5 0 30 Sep 2022
Bayesian Continual Learning via Spiking Neural Networks N. Skatchkovsky Hyeryung Jang Osvaldo Simeone BDL 75 18 0 29 Aug 2022
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 79 15 0 01 Jul 2022
Laplacian Autoencoders for Learning Stochastic Representations M. Miani Frederik Warburg Pablo Moreno-Muñoz Nicke Skafte Detlefsen Søren Hauberg UQCV BDL SSL 83 11 0 30 Jun 2022
Quantifying and Using System Uncertainty in UAV Navigation F. Arnez A. Radermacher H. Espinoza BDL UQCV 65 4 0 04 Jun 2022
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection Bang Xiang Yong Alexandra Brintrup UQCV 59 26 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 134 17 0 22 Feb 2022
Bayesian Learning via Neural Schrödinger-Föllmer Flows Francisco Vargas Andrius Ovsianas David Fernandes Mark Girolami Neil D. Lawrence Nikolas Nusken BDL 150 49 0 20 Nov 2021
CVAD: A generic medical anomaly detector based on Cascade VAE Xiaoyuan Guo J. Gichoya S. Purkayastha Imon Banerjee OODD 66 8 0 29 Oct 2021
Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection Bang Xiang Yong Tim Pearce Alexandra Brintrup OODD UQCV 70 6 0 28 Jul 2021
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications Yeli Feng Daniel Jun Xian Ng Arvind Easwaran OODD 84 18 0 25 Jul 2021
Model Selection for Bayesian Autoencoders Ba-Hien Tran Simone Rossi Dimitrios Milios Pietro Michiardi Edwin V. Bonilla Maurizio Filippone BDL 84 13 0 11 Jun 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 45 40 0 09 May 2021
Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach Minyoung Kim Vladimir Pavlovic BDL 97 6 0 05 Feb 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 380 1,952 0 12 Nov 2020
Generative Model-Enhanced Human Motion Prediction Anthony Bourached Ryan-Rhys Griffiths Robert J. Gray A. Jha P. Nachev 75 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 93 51 0 16 Jul 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models Andrew Jesson Sören Mindermann Uri Shalit Y. Gal CML 76 74 0 01 Jul 2020
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining Austin Tripp Erik A. Daxberger José Miguel Hernández-Lobato MedIm 110 143 0 16 Jun 2020
Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antorán Umang Bhatt T. Adel Adrian Weller José Miguel Hernández-Lobato UQCV BDL 110 117 0 11 Jun 2020
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference Masashi Okada Norio Kosaka T. Taniguchi 66 43 0 01 Mar 2020
Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices Chandramouli Shama Sastry Sageev Oore OODD 77 54 0 28 Dec 2019
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 90 51 0 02 Jul 2019