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Paper Abstract and Keywords
Presentation 2022-09-29 13:50
Isotropic Inference and Modularity in Neural Networks
Yuma Onishi, Tomoaki Imajo, Yusuke Matsubara, Koiti Hasida (UTokyo) NC2022-37
Abstract (in Japanese) (See Japanese page) 
(in English) Neural networks can be regarded as a system of simultaneous equations. Reasoning with it is to solve the simultaneous equations (constraint satisfaction). Considering it as a constraint satisfaction problem, multiple neural networks can be linked by sharing units (variables). In order for the simultaneous equations to be solved, the variables and the number of equations must be aligned. This can be done by deriving the equations of the neural network from the energy minimization principle, in which the energy function should be a loss function. Then, to minimize that energy function, a numerical solution method is used. State-of-the-art results in inference and learning using numerical solution methods have been achieved, for example, in the Deep Equilibrium Model.
Keyword (in Japanese) (See Japanese page) 
(in English) energy function / energy minimization principle / free energy principle / isotropic inference / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 195, NC2022-37, pp. 20-23, Sept. 2022.
Paper # NC2022-37 
Date of Issue 2022-09-22 (NC) 
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 NC2022-37

Conference Information
Committee NC MBE  
Conference Date 2022-09-29 - 2022-09-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Brain Architecture, NC, ME 
Paper Information
Registration To NC 
Conference Code 2022-09-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Isotropic Inference and Modularity in Neural Networks 
Sub Title (in English)  
Keyword(1) energy function  
Keyword(2) energy minimization principle  
Keyword(3) free energy principle  
Keyword(4) isotropic inference  
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1st Author's Name Yuma Onishi  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Tomoaki Imajo  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Yusuke Matsubara  
3rd Author's Affiliation The University of Tokyo (UTokyo)
4th Author's Name Koiti Hasida  
4th Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2022-09-29 13:50:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2022-37 
Volume (vol) vol.122 
Number (no) no.195 
Page pp.20-23 
#Pages 4 
Date of Issue 2022-09-22 (NC) 

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