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) |
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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) |
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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) |
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Neural ODE |
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ordinary differential equation |
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adjoint method |
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symplectic integrator |
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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.) |
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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 |
6 |
Date of Issue |
2021-06-21 (NC, IBISML) |
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