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Disentangling the Predictive Variance of Deep Ensembles through the
  Neural Tangent Kernel

Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel

18 October 2022
Seijin Kobayashi
Pau Vilimelis Aceituno
J. Oswald
    UQCV
ArXivPDFHTML

Papers citing "Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel"

4 / 4 papers shown
Title
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model
Moritz A. Zanger
Pascal R. van der Vaart
Wendelin Bohmer
M. Spaan
UQCV
BDL
111
0
0
14 Mar 2025
Stein Variational Newton Neural Network Ensembles
Stein Variational Newton Neural Network Ensembles
Klemens Flöge
Mohammed Abdul Moeed
Vincent Fortuin
BDL
UQCV
37
0
0
04 Nov 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
268
5,652
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
247
9,134
0
06 Jun 2015
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