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Understanding approximate and unrolled dictionary learning for pattern
  recovery

Understanding approximate and unrolled dictionary learning for pattern recovery

11 June 2021
Benoit Malézieux
Thomas Moreau
M. Kowalski
    MU
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Papers citing "Understanding approximate and unrolled dictionary learning for pattern recovery"

4 / 4 papers shown
Title
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood
  Estimation for Latent Gaussian Models
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models
Alexander Lin
Bahareh Tolooshams
Yves Atchadé
Demba E. Ba
36
1
0
05 Jun 2023
Simple Alternating Minimization Provably Solves Complete Dictionary Learning
Simple Alternating Minimization Provably Solves Complete Dictionary Learning
Geyu Liang
G. Zhang
S. Fattahi
Richard Y. Zhang
15
5
0
23 Oct 2022
Learning Variational Models with Unrolling and Bilevel Optimization
Learning Variational Models with Unrolling and Bilevel Optimization
Christoph Brauer
Niklas Breustedt
T. Wolff
D. Lorenz
SSL
31
3
0
26 Sep 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for
  Superresolution
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution
Fabian Altekrüger
J. Hertrich
27
15
0
20 Jan 2022
1