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Uncertainty Quantification for Deep Unrolling-Based Computational
  Imaging

Uncertainty Quantification for Deep Unrolling-Based Computational Imaging

2 July 2022
Canberk Ekmekci
Müjdat Çetin
    UQCV
ArXivPDFHTML

Papers citing "Uncertainty Quantification for Deep Unrolling-Based Computational Imaging"

12 / 12 papers shown
Title
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
16
0
0
14 May 2025
Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks
Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks
Sonia Laguna
Lin Zhang
Can Deniz Bezek
Monika Farkas
Dieter Schweizer
Rahel A. Kubik-Huch
O. Goksel
OOD
25
0
0
15 Apr 2025
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
Canberk Ekmekci
Müjdat Çetin
UQCV
MedIm
38
0
0
10 Apr 2025
Disentangling Uncertainties by Learning Compressed Data Representation
Disentangling Uncertainties by Learning Compressed Data Representation
Zhiyu An
Zhibo Hou
Wan Du
UQCV
UD
71
0
0
20 Mar 2025
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Frederik Hoppe
C. M. Verdun
Hannah Laus
Felix Krahmer
Holger Rauhut
UQCV
22
1
0
18 Jul 2024
Graph Structure Learning with Interpretable Bayesian Neural Networks
Graph Structure Learning with Interpretable Bayesian Neural Networks
Max Wasserman
Gonzalo Mateos
CML
39
6
0
20 Jun 2024
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal
  Prediction
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
31
2
0
28 May 2024
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing,
  and Improving Uncertainty Quantification
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification
Youngseog Chung
I. Char
Han Guo
J. Schneider
W. Neiswanger
30
70
0
21 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
5,660
0
05 Dec 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
190
5,173
0
16 Sep 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
745
0
06 Jun 2015
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
252
9,134
0
06 Jun 2015
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