Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for
Specialized Tasks

Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks

29 February 2024

Bálint Mucsányi

Michael Kirchhof

Papers citing "Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks"

12 / 12 papers shown

Title
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties Jiaxiang Yi Miguel A. Bessa UD PER UQCV 46 0 0 05 May 2025
Are We Done with Object-Centric Learning? Alexander Rubinstein Ameya Prabhu Matthias Bethge Seong Joon Oh OCL 631 0 0 09 Apr 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 85 2 0 04 Mar 2025
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition Arthur Hoarau Benjamin Quost Sébastien Destercke Willem Waegeman UQCV UD PER 72 0 0 30 Jan 2025
Conformalized Credal Regions for Classification with Ambiguous Ground Truth Michele Caprio David Stutz Shuo Li Arnaud Doucet UQCV 64 4 0 07 Nov 2024
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning Daniel Flögel Marcos Gómez Villafane Joshua Ransiek Sören Hohmann 28 0 0 16 Sep 2024
Decoupling of neural network calibration measures D. Wolf Prasannavenkatesh Balaji Alexander Braun Markus Ulrich UQCV 44 3 0 04 Jun 2024
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification Viktor Bengs Eyke Hüllermeier Willem Waegeman UQCV 204 25 0 30 Jan 2023
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition Sebastian G. Gruber Florian Buettner PER UQCV UD 195 11 0 21 Oct 2022
Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference M. Shaker Eyke Hüllermeier UD UQCV PER BDL 227 16 0 21 Jul 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015