Naoya Takeishi

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Takehisa YAIRIThe University of Tokyo, Research Center for Advanced Science and TechnologyDirección de correo verificada de g.ecc.u-tokyo.ac.jp
Yoshinobu KawaharaOsaka University / RIKENDirección de correo verificada de ist.osaka-u.ac.jp
Keisuke FujiiNagoya UniversityDirección de correo verificada de i.nagoya-u.ac.jp
Alexandros KalousisUniversity of Applied Sciences, Western Switzerland (HES-SO).Dirección de correo verificada de hesge.ch
Yuichi TsudaJapan Aerospace Exploration AgencyDirección de correo verificada de jaxa.jp
Koichi HoriProfessor Emeritus, University of TokyoDirección de correo verificada de koichihori.tech
Danielle DeLatteAurelia InstituteDirección de correo verificada de ailab.t.u-tokyo.ac.jp
Yasuo TabeiTeam Leader at RIKEN-AIPDirección de correo verificada de riken.go.jp
Kazuya TakedaDept. of Intelligent Systems, School of Informatics, Nagoya UniversityDirección de correo verificada de nuee.nagoya-u.ac.jp
Benio KibushiKobe UniversityDirección de correo verificada de ruby.kobe-u.ac.jp
Akira TanimotoNEC CorporationDirección de correo verificada de nec.com
Koh TakeuchiKyoto UniversityDirección de correo verificada de i.kyoto-u.ac.jp
Susumu TakahashiDoshisha universityDirección de correo verificada de mail.doshisha.ac.jp
Emyo FujiokaDoshisha UniversityDirección de correo verificada de mail.doshisha.ac.jp
Nishanth PushparajAssistant Professor, University of NottinghamDirección de correo verificada de nottingham.ac.uk
Kanta YanagidaThe University of TokyoDirección de correo verificada de g.ecc.u-tokyo.ac.jp
Ryuki Hyodo｜兵頭龍樹ISAS/JAXADirección de correo verificada de elsi.jp
Ryo SakagamiGerman Aerospace Center (DLR), Insitute of Robotics and MechatronicsDirección de correo verificada de dlr.de
Atom ScottUniversity of TsukubaDirección de correo verificada de u.tsukuba.ac.jp
Lionel BlondéUniversity of GenevaDirección de correo verificada de unige.ch

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Naoya Takeishi

UTokyo / RIKEN

Dirección de correo verificada de g.ecc.u-tokyo.ac.jp - Página principal

machine learning dynamical systems


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Learning Koopman invariant subspaces for dynamic mode decomposition N Takeishi, Y Kawahara, T Yairi Advances in Neural Information Processing Systems 30, 1130-1140, 2017	399	2017
A data-driven health monitoring method for satellite housekeeping data based on probabilistic clustering and dimensionality reduction T Yairi, N Takeishi, T Oda, Y Nakajima, N Nishimura, N Takata IEEE Transactions on Aerospace and Electronic Systems 53 (3), 1384-1401, 2017	152	2017
Recent developments in aerial robotics: A survey and prototypes overview CF Liew, D DeLatte, N Takeishi, T Yairi preprint, 2017	88	2017
Subspace dynamic mode decomposition for stochastic Koopman analysis N Takeishi, Y Kawahara, T Yairi Physical Review E 96, 033310, 2017	81	2017
Bayesian dynamic mode decomposition N Takeishi, Y Kawahara, Y Tabei, T Yairi Proceedings of the 26th International Joint Conference on Artificial …, 2017	72	2017
Physics-integrated variational autoencoders for robust and interpretable generative modeling N Takeishi, A Kalousis Advances in Neural Information Processing Systems 34, 14809-14821, 2021	43	2021
Anomaly detection from multivariate time-series with sparse representation N Takeishi, T Yairi Proceedings of the 2014 IEEE International Conference on Systems, Man and …, 2014	42	2014
Shapley values of reconstruction errors of PCA for explaining anomaly detection N Takeishi Proceedings of 2019 International Conference on Data Mining Workshops, 739-798, 2019	41	2019
Data-driven spectral analysis for coordinative structures in periodic human locomotion K Fujii, N Takeishi, B Kibushi, M Kouzaki, Y Kawahara Scientific Reports 9, 16755, 2019	26	2019
Physically-interpretable classification of biological network dynamics for complex collective motions K Fujii, N Takeishi, M Hojo, Y Inaba, Y Kawahara Scientific Reports 10, 3005, 2020	25	2020
Learning dynamics models with stable invariant sets N Takeishi, Y Kawahara Proceedings of the 35th AAAI Conference on Artificial Intelligence, 9782-9790, 2021	18	2021
Evaluation of interest-region detectors and descriptors for automatic landmark tracking on asteroids N Takeishi, A Tanimoto, T Yairi, Y Tsuda, F Terui, N Ogawa, Y Mimasu Transactions of the Japan Society for Aeronautical and Space Sciences 58 (1 …, 2015	18	2015
Learning interaction rules from multi-animal trajectories via augmented behavioral models K Fujii, N Takeishi, K Tsutsui, E Fujioka, N Nishiumi, R Tanaka, ... Advances in Neural Information Processing Systems 34, 11108-11122, 2021	17	2021
Sparse nonnegative dynamic mode decomposition N Takeishi, Y Kawahara, T Yairi Proceedings of the 2017 IEEE International Conference on Image Processing …, 2017	17	2017
Decentralized policy learning with partial observation and mechanical constraints for multi-person modeling K Fujii, N Takeishi, Y Kawahara, K Takeda Neural Networks 171, 40-52, 2024	15	2024
A characteristic function for Shapley-value-based attribution of anomaly scores N Takeishi, Y Kawahara Transactions on Machine Learning Research, 2023	15*	2023
Simultaneous estimation of shape and motion of an asteroid for automatic navigation N Takeishi, T Yairi, Y Tsuda, F Terui, N Ogawa, Y Mimasu Proceedings of the 2015 IEEE International Conference on Robotics and …, 2015	14	2015
Dynamic and static topic model for analyzing time-series document collections R Hida, N Takeishi, T Yairi, K Hori Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018	13	2018
Estimating counterfactual treatment outcomes over time in complex multi-vehicle simulation K Fujii, K Takeuchi, A Kuribayashi, N Takeishi, Y Kawahara, K Takeda Proceedings of the 30th ACM SIGSPATIAL International Conference on Advances …, 2022	12*	2022
Visual localization for asteroid touchdown operation based on local image features Y Anzai, T Yairi, N Takeishi, Y Tsuda, N Ogawa Astrodynamics 4, 149-161, 2020	11	2020

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