ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1807.04021
  4. Cited By
On bayesian estimation and proximity operators
v1v2 (latest)

On bayesian estimation and proximity operators

11 July 2018
Rémi Gribonval
M. Nikolova
ArXiv (abs)PDFHTML

Papers citing "On bayesian estimation and proximity operators"

9 / 9 papers shown
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence
  Analysis
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence AnalysisInternational Conference on Machine Learning (ICML), 2023
Shirin Shoushtari
Jiaming Liu
Edward P. Chandler
M. Salman Asif
Ulugbek S. Kamilov
202
9
0
29 Sep 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
Block Coordinate Plug-and-Play Methods for Blind Inverse ProblemsNeural Information Processing Systems (NeurIPS), 2023
Weijie Gan
Shirin Shoushtari
Yuyang Hu
Jiaming Liu
Hongyu An
Ulugbek S. Kamilov
306
16
0
22 May 2023
Connecting Hamilton--Jacobi partial differential equations with maximum
  a posteriori and posterior mean estimators for some non-convex priors
Connecting Hamilton--Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors
Jérome Darbon
G. P. Langlois
Tingwei Meng
121
6
0
22 Apr 2021
Shared Prior Learning of Energy-Based Models for Image Reconstruction
Shared Prior Learning of Energy-Based Models for Image ReconstructionSIAM Journal of Imaging Sciences (SIIMS), 2020
Thomas Pinetz
Erich Kobler
Thomas Pock
Alexander Effland
DiffM
238
7
0
12 Nov 2020
Regularization by Denoising via Fixed-Point Projection (RED-PRO)
Regularization by Denoising via Fixed-Point Projection (RED-PRO)SIAM Journal of Imaging Sciences (SIIMS), 2020
Regev Cohen
Michael Elad
P. Milanfar
352
131
0
01 Aug 2020
Generalization error in high-dimensional perceptrons: Approaching Bayes
  error with convex optimization
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimizationNeural Information Processing Systems (NeurIPS), 2020
Benjamin Aubin
Florent Krzakala
Yue M. Lu
Lenka Zdeborová
294
64
0
11 Jun 2020
Self-Supervised training for blind multi-frame video denoising
Self-Supervised training for blind multi-frame video denoisingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Valéry Dewil
J. Anger
Axel Davy
T. Ehret
Pablo Arias
Gabriele Facciolo
580
43
0
15 Apr 2020
On Bayesian posterior mean estimators in imaging sciences and
  Hamilton-Jacobi Partial Differential Equations
On Bayesian posterior mean estimators in imaging sciences and Hamilton-Jacobi Partial Differential EquationsJournal of Mathematical Imaging and Vision (JMIV), 2020
Jérome Darbon
G. P. Langlois
168
11
0
12 Mar 2020
Switching divergences for spectral learning in blind speech
  dereverberation
Switching divergences for spectral learning in blind speech dereverberation
F. Ibarrola
L. D. Persia
Rubén D. Spies
75
3
0
19 Sep 2018
1
Page 1 of 1