Bilevel Learning of ℓ<sub>1</sub> Regularizers with Closed-Form Gradients (BLORC)-Reference-Cited by-同舟云学术

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Bilevel Learning of ℓ₁ Regularizers with Closed-Form Gradients (BLORC)

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Ghosh Avrajit¹,Mccann Michael T.²,Ravishankar Saiprasad¹

Affiliation:

1. Michigan State University,Dept. of Computational Mathematics, Science and Engineering,East Lansing,MI

2. Los Alamos National Laboratory,Theoretical Division,NM

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747201.pdf?arnumber=9747201

Reference23 articles.

1. Bilevel integrative optimization for ill-posed inverse problems;liu,2019

2. Learning the optimal regularizer for inverse problems;alberti,2021

3. Bilevel optimization with nonsmooth lower level problems;ochs;Lecture Notes in Computer Science,2015

4. Learning ?1-based analysis and synthesis sparsity priors using bi-level optimization;chen,2014

5. Supervised sparse analysis and synthesis operators;sprechmann;Advances in Neural Information Processing Systems 26,2013

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning Sparsity-Promoting Regularizers Using Bilevel Optimization;SIAM Journal on Imaging Sciences;2024-01-10

2. Robust Self-Guided Deep Image Prior;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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