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Uncertainty Quantification Metrics for Deep Regression

Uncertainty Quantification Metrics for Deep Regression

7 May 2024
Simon Kristoffersson Lind
Ziliang Xiong
Per-Erik Forssén
Volker Kruger
    UQCV
ArXivPDFHTML

Papers citing "Uncertainty Quantification Metrics for Deep Regression"

5 / 5 papers shown
Title
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation
Shipeng Liu
Ziliang Xiong
Bastian Wandt
Per-Erik Forssén
40
0
0
04 May 2025
Probabilistic Neural Networks (PNNs) with t-Distributed Outputs: Adaptive Prediction Intervals Beyond Gaussian Assumptions
Probabilistic Neural Networks (PNNs) with t-Distributed Outputs: Adaptive Prediction Intervals Beyond Gaussian Assumptions
Farhad Pourkamali-Anaraki
OOD
UQCV
53
0
0
16 Mar 2025
Single-model uncertainty quantification in neural network potentials
  does not consistently outperform model ensembles
Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles
Aik Rui Tan
S. Urata
Samuel Goldman
Johannes C. B. Dietschreit
Rafael Gómez-Bombarelli
BDL
38
42
0
02 May 2023
NOMU: Neural Optimization-based Model Uncertainty
NOMU: Neural Optimization-based Model Uncertainty
Jakob Heiss
Jakob Weissteiner
Hanna Wutte
Sven Seuken
Josef Teichmann
BDL
37
19
0
26 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
1