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Beyond the Norms: Detecting Prediction Errors in Regression Models

Beyond the Norms: Detecting Prediction Errors in Regression Models

11 June 2024
A. Altieri
Marco Romanelli
Georg Pichler
F. Alberge
Pablo Piantanida
ArXivPDFHTML

Papers citing "Beyond the Norms: Detecting Prediction Errors in Regression Models"

4 / 4 papers shown
Title
Nonparametric Uncertainty Quantification for Single Deterministic Neural
  Network
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
Nikita Kotelevskii
A. Artemenkov
Kirill Fedyanin
Fedor Noskov
Alexander Fishkov
Artem Shelmanov
Artem Vazhentsev
Aleksandr Petiushko
Maxim Panov
UQCV
BDL
53
25
0
07 Feb 2022
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
119
355
0
04 Oct 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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1