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2407.00616
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DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety
30 June 2024
Masoud Ataei
Vikas Dhiman
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ArXiv
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Papers citing
"DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety"
3 / 3 papers shown
Title
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PER
UQLM
UQCV
UD
195
81
0
16 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1