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Paper Abstract and Keywords
Presentation 2026-01-26 11:45
Information Gradient for Nonlinear Gaussian Channel with Applications to Task-Oriented Communication
Tadashi Wadayama (NiTech) IT2025-47 SIP2025-61 RCS2025-218
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a gradient-based framework for optimizing parametric nonlinear Gaussian channels
via mutual information maximization. Leveraging the score-to-Fisher bridge (SFB) methodology,
we derive a computationally tractable formula for the information gradient that is the gradient
of mutual information with respect to the parameters of the nonlinear front-end.
Our formula expresses this gradient in terms of two key components:
the score function of the marginal output distribution,
which can be learned via denoising score matching (DSM),
and the Jacobian of the front-end function, which is handled efficiently
using the vector-Jacobian product (VJP) within automatic differentiation frameworks.
This enables practical parameter optimization through gradient ascent.
Keyword (in Japanese) (See Japanese page) 
(in English) mutual information / non-linear channel / gradient methods / semantic communications / information gradient / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 332, IT2025-47, pp. 67-72, Jan. 2026.
Paper # IT2025-47 
Date of Issue 2026-01-19 (IT, SIP, RCS) 
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 IT2025-47 SIP2025-61 RCS2025-218

Conference Information
Committee IT RCS SIP  
Conference Date 2026-01-26 - 2026-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Forest Sendai 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal Processing for Wireless Communications, Learning, Mathematics, Information Theory, etc. 
Paper Information
Registration To IT 
Conference Code 2026-01-IT-RCS-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Information Gradient for Nonlinear Gaussian Channel with Applications to Task-Oriented Communication 
Sub Title (in English)  
Keyword(1) mutual information  
Keyword(2) non-linear channel  
Keyword(3) gradient methods  
Keyword(4) semantic communications  
Keyword(5) information gradient  
Keyword(6)  
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Keyword(8)  
1st Author's Name Tadashi Wadayama  
1st Author's Affiliation Nagoya Institute of Technology (NiTech)
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Speaker Author-1 
Date Time 2026-01-26 11:45:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2025-47, SIP2025-61, RCS2025-218 
Volume (vol) vol.125 
Number (no) no.332(IT), no.333(SIP), no.334(RCS) 
Page pp.67-72 
#Pages 6 
Date of Issue 2026-01-19 (IT, SIP, RCS) 

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