Title
Scalable Bayesian inference for the generalized linear mixed model S. Berchuck Felipe A. Medeiros Sayan Mukherjee Andrea Agazzi 29 0 0 05 Mar 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation Yidong Zhao João Tourais Iain Pierce Christian Nitsche T. Treibel Sebastian Weingartner Artur M. Schweidtmann Qian Tao BDL UQCV 38 5 0 04 Mar 2024
Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Prediction Wenbo Shao Jiahui Xu Wenhao Yu Jun Li Hong Wang 41 1 0 29 Feb 2024
Artificial Bee Colony optimization of Deep Convolutional Neural Networks in the context of Biomedical Imaging Adri Gomez Martin Carlos Fernandez del Cerro Monica Abella Garcia Manuel Desco Menendez 33 0 0 23 Feb 2024
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling Jan Küchler Daniel Kröll S. Schoenen Andreas Witte UQCV 37 1 0 17 Jan 2024
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation S. Chatterjee Franziska Gaidzik Alessandro Sciarra Hendrik Mattern G. Janiga Oliver Speck Andreas Nürnberger S. Pathiraja 49 0 0 25 Dec 2023
Identifying Drivers of Predictive Aleatoric Uncertainty Pascal Iversen Simon Witzke Katharina Baum Bernhard Y. Renard UD 48 1 0 12 Dec 2023
A Stochastic-Geometrical Framework for Object Pose Estimation based on Mixture Models Avoiding the Correspondence Problem Wolfgang Hoegele 26 2 0 29 Nov 2023
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 82 2 0 23 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 20 4 0 10 Nov 2023
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition Hongxiang Gao Xiangyao Wang Zhenghua Chen Min-man Wu Zhipeng Cai Lulu Zhao Jianqing Li Chengyu Liu 35 9 0 22 Oct 2023
Adaptive Multi-head Contrastive Learning Lei Wang Piotr Koniusz Tom Gedeon Liang Zheng 32 4 0 09 Oct 2023
aSAGA: Automatic Sleep Analysis with Gray Areas M. Rusanen Gabriel Jouan R. Huttunen Sami Nikkonen Sigríður Sigurðardóttir ... E. S. Arnardóttir T. Leppänen A. Islind S. Kainulainen H. Korkalainen 26 4 0 03 Oct 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 16 4 0 17 Aug 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 18 1 0 11 Aug 2023
Comparing the quality of neural network uncertainty estimates for classification problems Daniel Ries Joshua J. Michalenko T. Ganter R. Baiyasi Jason Adams UQCV BDL 27 1 0 11 Aug 2023
Likelihood-ratio-based confidence intervals for neural networks Laurens Sluijterman Eric Cator Tom Heskes UQCV 30 0 0 04 Aug 2023
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI Ivania Donoso-Guzmán Jeroen Ooge Denis Parra K. Verbert 45 6 0 31 Jul 2023
FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery Soorena Salari Amir Rasoulian H. Rivaz Yiming Xiao 12 6 0 26 Jul 2023
Rethinking Data Distillation: Do Not Overlook Calibration Dongyao Zhu Bowen Lei Jie M. Zhang Yanbo Fang Ruqi Zhang Yiqun Xie Dongkuan Xu DD FedML 18 15 0 24 Jul 2023
Function-Space Regularization for Deep Bayesian Classification J. Lin Joe Watson Pascal Klink Jan Peters UQCV BDL 38 1 0 12 Jul 2023
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference Arnaud Descours Tom Huix Arnaud Guillin Manon Michel Eric Moulines Boris Nectoux BDL 29 1 0 10 Jul 2023
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions S. Goldenberg M. Schram Kishansingh Rajput T. Britton C. Pappas Dawei Lu Jared Walden M. Radaideh Sarah Cousineau S. Harave 29 1 0 05 Jul 2023
Deep Huber quantile regression networks Hristos Tyralis Georgia Papacharalampous N. Dogulu Kwok-Pan Chun UQCV 34 1 0 17 Jun 2023
Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen Kaize Ding Shixiang Zhu 11 5 0 14 Jun 2023
Topology-Aware Uncertainty for Image Segmentation Saumya Gupta Yikai Zhang Xiaoling Hu Prateek Prasanna Chao Chen 28 27 0 09 Jun 2023
Block-local learning with probabilistic latent representations David Kappel Khaleelulla Khan Nazeer Cabrel Teguemne Fokam Christian Mayr Anand Subramoney 24 4 0 24 May 2023
Semantic Anomaly Detection with Large Language Models Amine Elhafsi Rohan Sinha Christopher Agia Edward Schmerling I. Nesnas Marco Pavone 34 64 0 18 May 2023
torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in Python Joanna Komorniczak Pawel Ksieniewicz 3DV 10 3 0 16 May 2023
UQ for Credit Risk Management: A deep evidence regression approach Ashish Dhiman 19 0 0 08 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 30 75 0 07 May 2023
Fairness Uncertainty Quantification: How certain are you that the model is fair? Abhishek Roy P. Mohapatra 19 5 0 27 Apr 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction Christoph Angermann Simon Göppel Markus Haltmeier 28 2 0 14 Apr 2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification Antoine de Mathelin Francois Deheeger Mathilde Mougeot Nicolas Vayatis OOD UQCV 19 2 0 08 Apr 2023
Development and Evaluation of Conformal Prediction Methods for QSAR Yuting Xu Andy Liaw R. Sheridan V. Svetnik 21 2 0 03 Apr 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 41 0 0 23 Mar 2023
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook Xuan Di Rongye Shi Zhaobin Mo Yongjie Fu PINN AI4TS AI4CE 26 28 0 03 Mar 2023
Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer Learning Andrea Rossi Andrea Visentin Diego Carraro Steven D. Prestwich Kenneth N. Brown 30 0 0 24 Feb 2023
PAC Prediction Sets for Large Language Models of Code Adam Khakhar Stephen Mell Osbert Bastani 22 6 0 17 Feb 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang H. Fu UQCV 43 86 0 16 Feb 2023
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement Soyeong Jeong Jinheon Baek Sung Ju Hwang Jong C. Park 29 2 0 10 Feb 2023
Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks Emanuele Ledda Giorgio Fumera Fabio Roli BDL UQCV 30 14 0 06 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 38 13 0 01 Feb 2023
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges T. Shaik Xiaohui Tao Niall Higgins Lin Li R. Gururajan Xujuan Zhou U. Acharya 21 186 0 19 Jan 2023
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows Line C. Pouchard Kristofer G. Reyes Francis J. Alexander Byung-Jun Yoon 27 2 0 13 Jan 2023
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure Xiaoling Zhou Ou Wu Weiyao Zhu Ziyang Liang 27 2 0 12 Jan 2023
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks Héctor J. Hortúa L. '. García Leonardo Castañeda C. BDL 24 4 0 09 Jan 2023
Bayesian posterior approximation with stochastic ensembles Oleksandr Balabanov Bernhard Mehlig H. Linander BDL UQCV 27 5 0 15 Dec 2022
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy Images Wei Chen Chen Li Dan Chen Xin Luo MedIm SSL 30 12 0 27 Nov 2022
Introduction and Exemplars of Uncertainty Decomposition Shuo Chen UD UQCV PER 30 0 0 17 Nov 2022