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Success of Uncertainty-Aware Deep Models Depends on Data Manifold
  Geometry
v1v2 (latest)

Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry

2 August 2022
M. Penrod
Harrison Termotto
Varshini Reddy
Jiayu Yao
Finale Doshi-Velez
Weiwei Pan
    AAMLOOD
ArXiv (abs)PDFHTML

Papers citing "Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry"

2 / 2 papers shown
Title
Model uncertainty quantification using feature confidence sets for outcome excursions
Model uncertainty quantification using feature confidence sets for outcome excursions
Junting Ren
Armin Schwartzman
228
0
0
28 Apr 2025
Simple and Principled Uncertainty Estimation with Deterministic Deep
  Learning via Distance Awareness
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCVBDL
731
510
0
17 Jun 2020
1