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Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit

Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit

29 September 2023
Sven Lämmle
Can Bogoclu
K. Cremanns
D. Roos
ArXivPDFHTML

Papers citing "Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit"

3 / 3 papers shown
Title
Quantifying Local Model Validity using Active Learning
Quantifying Local Model Validity using Active Learning
Sven Lämmle
Can Bogoclu
Robert Voßhall
Anselm Haselhoff
Dirk Roos
32
0
0
11 Jun 2024
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