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Paper Abstract and Keywords
Presentation 2025-08-29 15:15
Learning Parameter Adjustment for Robust Deep Algorithm Unrolling
Hayate Kojima, Kosuke Nakatani, Junya Hara, Higashi Hiroshi, Yuichi Tanaka (UOsaka) SIP2025-47
Abstract (in Japanese) (See Japanese page) 
(in English) This report proposes a method for adjusting learnable parameters in deep algorithm unrolling to enhance its robustness. Deep algorithm unrolling is a method that textit{unroll} iterative optimization algorithms into neural network layers, learning the hyperparameters for each iteration using deep learning techniques. Our proposed method introduces a constraint that gradually reduces the variation of parameters across iterations, enabling stable training and inference. We conducted graph signal denoising experiments using synthetic data. The results demonstrate that our proposed method achieves superior denoising performance compared to conventional iterative algorithms. Furthermore, we examined the performance when early stopping is applied, where our method presents better denoising performance with a smaller number of iterations than those in the conventional approach.
Keyword (in Japanese) (See Japanese page) 
(in English) deep algorithm unrolling / iterative algorithm / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 160, SIP2025-47, pp. 84-89, Aug. 2025.
Paper # SIP2025-47 
Date of Issue 2025-08-21 (SIP) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SIP2025-47

Conference Information
Committee SIP  
Conference Date 2025-08-28 - 2025-08-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Kunibiki Messe, Shimane Prefectural Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal Processing, etc. 
Paper Information
Registration To SIP 
Conference Code 2025-08-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Learning Parameter Adjustment for Robust Deep Algorithm Unrolling 
Sub Title (in English)  
Keyword(1) deep algorithm unrolling  
Keyword(2) iterative algorithm  
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1st Author's Name Hayate Kojima  
1st Author's Affiliation The University of Osaka (UOsaka)
2nd Author's Name Kosuke Nakatani  
2nd Author's Affiliation The University of Osaka (UOsaka)
3rd Author's Name Junya Hara  
3rd Author's Affiliation The University of Osaka (UOsaka)
4th Author's Name Higashi Hiroshi  
4th Author's Affiliation The University of Osaka (UOsaka)
5th Author's Name Yuichi Tanaka  
5th Author's Affiliation The University of Osaka (UOsaka)
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Speaker Author-1 
Date Time 2025-08-29 15:15:00 
Presentation Time 25 minutes 
Registration for SIP 
Paper # SIP2025-47 
Volume (vol) vol.125 
Number (no) no.160 
Page pp.84-89 
#Pages 6 
Date of Issue 2025-08-21 (SIP) 

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