IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2021-06-28 13:25
Training Neural ODE by Symplectic Integrator
Takashi Matsubara, Yuto Miyatake (Osaka Univ.), Takaharu Yaguchi (Kobe Univ.) NC2021-2 IBISML2021-2
Abstract (in Japanese) (See Japanese page) 
(in English) A differential equation model using neural networks, neural ODE, enables use to model a continuous-time dynamics and probabilistic model with high accuracy. However, the neural ODE uses the same neural network repeatedly, the training using the backpropagation algorithm consumes large memory. Instead of the backpropagation algorithm, the adjoint method is commonly used, which obtains the gradient using the numerical integration. The adjoint method needs a small step size and much computational cost to suppress the numerical errors. In this study, we combine the checkpointing scheme and symplectic integrator for the adjoint method. It suppresses the memory consumption and functions faster.
Keyword (in Japanese) (See Japanese page) 
(in English) Neural ODE / ordinary differential equation / adjoint method / symplectic integrator / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 80, IBISML2021-2, pp. 9-14, June 2021.
Paper # IBISML2021-2 
Date of Issue 2021-06-21 (NC, IBISML) 
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 NC2021-2 IBISML2021-2

Conference Information
Committee NC IBISML IPSJ-BIO IPSJ-MPS  
Conference Date 2021-06-28 - 2021-06-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IBISML 
Conference Code 2021-06-NC-IBISML-BIO-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Training Neural ODE by Symplectic Integrator 
Sub Title (in English)  
Keyword(1) Neural ODE  
Keyword(2) ordinary differential equation  
Keyword(3) adjoint method  
Keyword(4) symplectic integrator  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Takashi Matsubara  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Yuto Miyatake  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Takaharu Yaguchi  
3rd Author's Affiliation Kobe University (Kobe Univ.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2021-06-28 13:25:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # NC2021-2, IBISML2021-2 
Volume (vol) vol.121 
Number (no) no.79(NC), no.80(IBISML) 
Page pp.9-14 
#Pages
Date of Issue 2021-06-21 (NC, IBISML) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan