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Retrospective Uncertainties for Deep Models using Vine Copulas

Retrospective Uncertainties for Deep Models using Vine Copulas

24 February 2023
Natavsa Tagasovska
Firat Ozdemir
Axel Brando
    UQCV
    OOD
    BDL
ArXivPDFHTML

Papers citing "Retrospective Uncertainties for Deep Models using Vine Copulas"

6 / 6 papers shown
Title
2-Cats: 2D Copula Approximating Transforms
2-Cats: 2D Copula Approximating Transforms
Shiyi Tang
Yini Fang
Jackson Silva
Renato M. Assunção
28
0
0
28 Sep 2023
BOtied: Multi-objective Bayesian optimization with tied multivariate
  ranks
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
Ji Won Park
Natavsa Tagasovska
Michael R. Maser
Stephen Ra
Kyunghyun Cho
11
6
0
01 Jun 2023
Deep Non-Crossing Quantiles through the Partial Derivative
Deep Non-Crossing Quantiles through the Partial Derivative
Axel Brando
J. Gimeno
Jose A. Rodríguez-Serrano
Jordi Vitrià
35
13
0
30 Jan 2022
Implicit Generative Copulas
Implicit Generative Copulas
Tim Janke
M. Ghanmi
F. Steinke
32
17
0
29 Sep 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
268
5,635
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
9,109
0
06 Jun 2015
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