Koopman operators with intrinsic observables in rigged reproducing kernel Hilbert spaces
Ishikawa, Isao, Hashimoto, Yuka, Ikeda, Masahiro, Kawahara, Yoshinobu
Year of Publication 04.03.2024
Year of Publication 04.03.2024
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Dynamic mode decomposition for Koopman spectral analysis of elementary cellular automata
Taga, Keisuke, Kato, Yuzuru, Yamazaki, Yoshihiro, Kawahara, Yoshinobu, Nakao, Hiroya
Year of Publication 04.12.2023
Year of Publication 04.12.2023
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Journal Article
Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling
Fujii, Keisuke, Takeishi, Naoya, Kawahara, Yoshinobu, Takeda, Kazuya
Published in arXiv.org (01.12.2023)
Published in arXiv.org (01.12.2023)
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Paper
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DEVICE, METHOD, AND PROGRAM FOR VISUALIZATION OF MULTI-DIMENSIONAL DATA
KAWAHARA, YOSHINOBU, ITOH, TAKAYUKI, ZHENG, YUNZHU, SUEMATSU, HARUKA, MORINAGA, SATOSHI
Year of Publication 08.08.2013
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Year of Publication 08.08.2013
Patent
Learning Non-linear Dynamical Systems by Alignment of Local Linear Models
Joko, Masao, Kawahara, Yoshinobu, Yairi, Takehisa
Published in 2010 20th International Conference on Pattern Recognition (01.08.2010)
Published in 2010 20th International Conference on Pattern Recognition (01.08.2010)
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Conference Proceeding
Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition
Fukuma, Ryohei, Majima, Kei, Kawahara, Yoshinobu, Yamashita, Okito, Shiraishi, Yoshiyuki, Kishima, Haruhiko, Yanagisawa, Takufumi
Year of Publication 31.10.2023
Year of Publication 31.10.2023
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Journal Article
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics
Weissenbacher, Matthias, Sinha, Samarth, Garg, Animesh, Kawahara, Yoshinobu
Year of Publication 02.11.2021
Year of Publication 02.11.2021
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Journal Article