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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, NLP 2023-01-29
14:25		 Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)		 Continuous Value Control of Robot with Reservoir Actor-Critic Model
Koutaro Minato, Yuichi Katori (Future Univ Hakodate) NLP2022-103 NC2022-87		 Deep learning is expected to be utilized to control robots operating in complex environments, but this requires a large ... [more] NLP2022-103 NC2022-87
pp.118-122
SIS, IPSJ-AVM 2022-06-10
11:40		 Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)		 An embedded-oriented sound classification system using reservoir computing
Yuichiro Tanaka, Issei Uchino (Kyutech), Kazunobu Ohkuri (Sony), Hakaru Tamukoh (Kyutech) SIS2022-9		 Although deep neural networks (DNNs) have achieved state-of-the-art results in sound classification tasks in recent year... [more] SIS2022-9
pp.41-44
QIT
(2nd)		 2021-11-30
13:30		 Online Online [Poster Presentation] Quantum Reservoir Computing with a Multimode Interferometric Optical Circuit -- Estimation of Characteristic Quantities of Quantum States of Light --
Natsuki Yokoyama, Masaya Shintoku, Kazuya Yuasa (Waseda Univ.) 		We discuss quantum reservoir computing with a multimode interferometric optical circuit. Multiparticle quantum interfere... [more]
NLP 2019-09-24
11:05		 Kochi Eikokuji Campus, University of Kochi Reservoir Computing using Coupled Stuart-Landau Oscillators
Shoya Nakajima, Yuichi Katori (FUN) NLP2019-54		 Reservoir computing is a framework of recurrent neural network that learns time series, and is used in various research ... [more] NLP2019-54
pp.99-104
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-21
11:10		 Fukuoka   [Invited Talk] Reservoir Computing: Theory, Physical Implementations, and Applications
Kohei Nakajima (Univ. Tokyo) PRMU2018-60 IBISML2018-37		 Reservoir Computing (RC) has been proposed as a framework for training recurrent neural networks. In this framework, low... [more] PRMU2018-60 IBISML2018-37
pp.149-154
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