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Prediction Intervals: Split Normal Mixture from Quality-Driven Deep
  Ensembles

Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles

19 July 2020
Tárik S. Salem
H. Langseth
H. Ramampiaro
    UQCV
ArXivPDFHTML

Papers citing "Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles"

5 / 5 papers shown
Title
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
Kaizheng Wang
Keivan K1 Shariatmadar
Shireen Kudukkil Manchingal
Fabio Cuzzolin
David Moens
Hans Hallez
UQCV
BDL
92
12
0
28 Jan 2025
Neural Spline Search for Quantile Probabilistic Modeling
Neural Spline Search for Quantile Probabilistic Modeling
Ruoxi Sun
Chun-Liang Li
Sercan Ö. Arik
Michael W. Dusenberry
Chen-Yu Lee
Tomas Pfister
AI4TS
42
5
0
12 Jan 2023
PI3NN: Out-of-distribution-aware prediction intervals from three neural
  networks
PI3NN: Out-of-distribution-aware prediction intervals from three neural networks
Si-Yuan Liu
Pei Zhang
Dan Lu
Guannan Zhang
OODD
22
10
0
05 Aug 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