Is Epistemic Uncertainty Faithfully Represented by Evidential Deep
Learning Methods?

Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?

14 February 2024

Eyke Hüllermeier

Willem Waegeman

Papers citing "Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?"

6 / 6 papers shown

Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 23 0 0 04 May 2025
Conformalized Credal Regions for Classification with Ambiguous Ground Truth Michele Caprio David Stutz Shuo Li Arnaud Doucet UQCV 57 4 0 07 Nov 2024
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification Viktor Bengs Eyke Hüllermeier Willem Waegeman UQCV 195 25 0 30 Jan 2023
The Unreasonable Effectiveness of Deep Evidential Regression N. Meinert J. Gawlikowski Alexander Lavin UQCV EDL 170 34 0 20 May 2022
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 29 47 0 06 Oct 2021
Efficient and Robust LiDAR-Based End-to-End Navigation Zhijian Liu Alexander Amini Sibo Zhu S. Karaman Song Han Daniela Rus 157 46 0 20 May 2021