ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2107.11678
  4. Cited By
Deep-learning-driven Reliable Single-pixel Imaging with Uncertainty
  Approximation

Deep-learning-driven Reliable Single-pixel Imaging with Uncertainty Approximation

24 July 2021
Ruibo Shang
Mikaela A. O’Brien
Geoffrey P. Luke
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Deep-learning-driven Reliable Single-pixel Imaging with Uncertainty Approximation"

4 / 4 papers shown
Title
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
Uncertainty Quantification for Deep Unrolling-Based Computational
  Imaging
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging
Canberk Ekmekci
Müjdat Çetin
UQCV
19
11
0
02 Jul 2022
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
270
5,660
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
9,136
0
06 Jun 2015
1