Yoshinobu Kawahara

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Takehisa YAIRIThe University of Tokyo, Research Center for Advanced Science and TechnologyVerified email at g.ecc.u-tokyo.ac.jp
Naoya TakeishiUTokyoVerified email at g.ecc.u-tokyo.ac.jp
Keisuke FujiiNagoya UniversityVerified email at i.nagoya-u.ac.jp
SHIMIZU ShoheiUniversity of Osaka, Shiga University & RIKENVerified email at biwako.shiga-u.ac.jp
Masahiro IkedaOsaka UniversityVerified email at ist.osaka-u.ac.jp
Isao IshikawaEhime UniversityVerified email at ehime-u.ac.jp
Aapo HyvärinenUniversity of HelsinkiVerified email at helsinki.fi
Kenneth BollenDepartment of Psychology and Neuroscience, Department of Sociology, University of North Carolina atVerified email at unc.edu
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Tomoharu IwataNTTVerified email at hco.ntt.co.jp
Chloé-Agathe AzencottMines ParisTechVerified email at mines-paristech.fr
SATOSHI MORINAGANEC CorporationVerified email at nec.com
Dominik G. GrimmProfessor, TUM Campus Straubing, HSWTVerified email at hswt.de
Koh TakeuchiKyoto UniversityVerified email at i.kyoto-u.ac.jp
Patrik HoyerAlumni, Aalto University and University of HelsinkiVerified email at alumni.aalto.fi
Karsten BorgwardtDirector, Max Planck Institute of BiochemistryVerified email at biochem.mpg.de
Mahito SugiyamaAssociate Professor, National Institute of InformaticsVerified email at nii.ac.jp
Wen Gao（高文）Peking University, Pengcheng LaboratoryVerified email at pku.edu.cn
Okito YamashitaNeural Inforamtion Analysis Laboratories, ATRVerified email at atr.jp
Takayuki ItohOchanomizu UniversityVerified email at is.ocha.ac.jp

Yoshinobu Kawahara

Other names河原吉伸, Y. Kawahara

Osaka University / RIKEN

Verified email at ist.osaka-u.ac.jp - Homepage

Machine Learning Dynamical Systems Nonlinear Dynamics


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DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model S Shimizu, T Inazumi, Y Sogawa, A Hyvärinen, Y Kawahara, T Washio, ... Journal of Machine Learning Research 12 (Apr), 1225-1248, 2011	672	2011
Change-point detection in time-series data by direct density-ratio estimation Y Kawahara, M Sugiyama Proceedings of the 2009 SIAM international conference on data mining, 389-400, 2009	527	2009
Learning Koopman invariant subspaces for dynamic mode decomposition N Takeishi, Y Kawahara, T Yairi Advances in Neural Information Processing Systems 30, 1130-1140, 2017	468	2017
Change-point detection in time-series data based on subspace identification Y Kawahara, T Yairi, K Machida Proceedings of the Seventh IEEE International Conference on Data Mining …, 2007	179	2007
Dynamic mode decomposition with reproducing kernels for Koopman spectral analysis Y Kawahara Advances in Neural Information Processing Systems 29, 911-919, 2016	117	2016
Telemetry-mining: a machine learning approach to anomaly detection and fault diagnosis for space systems T Yairi, Y Kawahara, R Fujimaki, Y Sato, K Machida Space Mission Challenges for Information Technology, 2006. SMC-IT 2006 …, 2006	117	2006
Efficient generalized fused lasso and its application to the diagnosis of Alzheimer’s disease B Xin, Y Kawahara, Y Wang, W Gao Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014	110	2014
Subspace dynamic mode decomposition for stochastic Koopman analysis N Takeishi, Y Kawahara, T Yairi Physical Review E 96, 033310, 2017	92	2017
Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios A Takeda, M Niranjan, J Gotoh, Y Kawahara Computational Management Science 10, 21-49, 2013	91	2013
Efficient network-guided multi-locus association mapping with graph cuts CA Azencott, D Grimm, M Sugiyama, Y Kawahara, KM Borgwardt Bioinformatics 29 (13), i171-i179, 2013	81	2013
Bayesian Dynamic Mode Decomposition N Takeishi, Y Kawahara, Y Tabei, T Yairi The Twenty-Sixth International Joint Conference on Artificial Intelligence …, 2017	76	2017
Separation of stationary and non-stationary sources with a generalized eigenvalue problem S Hara, Y Kawahara, T Washio, P Von BüNau, T Tokunaga, K Yumoto Neural networks 33, 7-20, 2012	72	2012
Size-constrained submodular minimization through minimum norm base K Nagano, Y Kawahara, K Aihara Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011	72	2011
Representative selection with structured sparsity H Wang, Y Kawahara, C Weng, J Yuan Pattern Recognition 63, 268-278, 2017	60	2017
Minimum average cost clustering K Nagano, Y Kawahara, S Iwata Advances in Neural Information Processing Systems 23, 1759-1767, 2010	53	2010
Submodularity cuts and applications Y Kawahara, K Nagano, K Tsuda, JA Bilmes Advances in Neural Information Processing Systems 22, 2009	45	2009
Koopman spectral kernels for comparing complex dynamics: Application to multiagent sport plays K Fujii, Y Inaba, Y Kawahara Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017	41	2017
Analyzing relationships among ARMA processes based on non-Gaussianity of external influences Y Kawahara, S Shimizu, T Washio Neurocomputing 74 (12-13), 2212-2221, 2011	38	2011
Efficient generalized fused lasso and its applications B Xin, Y Kawahara, Y Wang, L Hu, W Gao ACM Transactions on Intelligent Systems and Technology (TIST) 7 (4), 1-22, 2016	37	2016
Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables K Fujii, Y Kawahara Neural Networks 117, 94-103, 2019	35	2019

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