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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2022-06-27 15:55 |
Okinawa |
(Primary: On-site, Secondary: Online) |
NC2022-5 IBISML2022-5 |
(To be available after the conference date) [more] |
NC2022-5 IBISML2022-5 pp.47-52 |
CCS |
2022-03-27 15:15 |
Hokkaido |
RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
Learning Physical Systems with Imbalance-Aware Deep Learning Takahito Yoshida (Osaka Univ.), Takaharu Yaguchi (Kobe Univ.), Takashi Matsubara (Osaka Univ.) CCS2021-47 |
[more] |
CCS2021-47 pp.66-71 |
CCS |
2021-11-18 16:25 |
Osaka |
Osaka Univ. (Primary: On-site, Secondary: Online) |
Memory Efficient Training of Neural ODE by Symplectic Adjoint Method Takashi Matsubara, Yuto Miyatake (Osaka Univ.), Takaharu Yaguchi (Kobe Univ.) CCS2021-23 |
Neural ODE learns an ordinary differential equation using neural networks, thereby modeling a continuous-time dynamics a... [more] |
CCS2021-23 pp.31-36 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 13:25 |
Online |
Online |
Training Neural ODE by Symplectic Integrator Takashi Matsubara, Yuto Miyatake (Osaka Univ.), Takaharu Yaguchi (Kobe Univ.) NC2021-2 IBISML2021-2 |
A differential equation model using neural networks, neural ODE, enables use to model a continuous-time dynamics and pr... [more] |
NC2021-2 IBISML2021-2 pp.9-14 |
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