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Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections

Feb 19, 2021
Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara


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Meta-Learning for Koopman Spectral Analysis with Short Time-series

Feb 09, 2021
Tomoharu Iwata, Yoshinobu Kawahara


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Reproducing kernel Hilbert C*-module and kernel mean embeddings

Jan 27, 2021
Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Takeshi Katsura, Yoshinobu Kawahara

* merged two unpablished papers arXiv:2003.00738 and 2007.14698 into this paper. arXiv admin note: text overlap with arXiv:2007.14698 

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Neural Dynamic Mode Decomposition for End-to-End Modeling of Nonlinear Dynamics

Dec 11, 2020
Tomoharu Iwata, Yoshinobu Kawahara


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Kernel Mean Embeddings of Von Neumann-Algebra-Valued Measures

Jul 29, 2020
Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Yoshinobu Kawahara


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Policy learning with partial observation and mechanical constraints for multi-person modeling

Jul 07, 2020
Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda

* 17 pages with 7 figures and 4 tables 

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Learning Dynamics Models with Stable Invariant Sets

Jun 16, 2020
Naoya Takeishi, Yoshinobu Kawahara

* 14 pages, 5 figures 

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On Anomaly Interpretation via Shapley Values

Apr 09, 2020
Naoya Takeishi, Yoshinobu Kawahara

* 23 pages, 5 figures and 7 tables 

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Analysis via Orthonormal Systems in Reproducing Kernel Hilbert $C^*$-Modules and Applications

Mar 02, 2020
Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Takeshi Katsura, Yoshinobu Kawahara


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Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise

Sep 10, 2019
Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Yoichi Matsuo, Yoshinobu Kawahara


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Metric on random dynamical systems with vector-valued reproducing kernel Hilbert spaces

Jun 19, 2019
Isao Ishikawa, Akinori Tanaka, Masahiro Ikeda, Yoshinobu Kawahara


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Physically-interpretable classification of network dynamics for complex collective motions

May 13, 2019
Keisuke Fujii, Naoya Takeishi, Motokazu Hojo, Yuki Inaba, Yoshinobu Kawahara

* 42 pages with 7 figures and 3 tables 

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An efficient branch-and-cut algorithm for approximately submodular function maximization

Apr 26, 2019
Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara

* arXiv admin note: substantial text overlap with arXiv:1811.04177 

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Regularizing Generative Models Using Knowledge of Feature Dependence

Feb 06, 2019
Naoya Takeishi, Yoshinobu Kawahara

* 19 pages, 7 figures, 6 tables 

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An efficient branch-and-bound algorithm for submodular function maximization

Nov 10, 2018
Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara


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Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators

Oct 31, 2018
Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda, Yuka Hashimoto, Yoshinobu Kawahara

* accepted to NIPS2018 

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Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables

Oct 24, 2018
Keisuke Fujii, Yoshinobu Kawahara

* 34 pages with 4 figures 

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Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition

Jan 30, 2018
Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi

* 18 pages, 7 figures, presented in NIPS 2017 

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Parametric Maxflows for Structured Sparse Learning with Convex Relaxations of Submodular Functions

Sep 14, 2015
Yoshinobu Kawahara, Yutaro Yamaguchi


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A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model

Aug 09, 2014
Shohei Shimizu, Aapo Hyvarinen, Yoshinobu Kawahara

* Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009) 

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Causal Discovery in a Binary Exclusive-or Skew Acyclic Model: BExSAM

Jan 22, 2014
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara

* 10 pages. A longer version of our UAI2011 paper (Inazumi et al., 2011). arXiv admin note: text overlap with arXiv:1202.3736 

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Structured Convex Optimization under Submodular Constraints

Sep 26, 2013
Kiyohito Nagano, Yoshinobu Kawahara

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

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Efficient network-guided multi-locus association mapping with graph cuts

Apr 18, 2013
Chloé-Agathe Azencott, Dominik Grimm, Mahito Sugiyama, Yoshinobu Kawahara, Karsten M. Borgwardt

* 20 pages, 6 figures, accepted at ISMB (International Conference on Intelligent Systems for Molecular Biology) 2013 

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Discovering causal structures in binary exclusive-or skew acyclic models

Feb 14, 2012
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara


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DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model

Apr 07, 2011
Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvarinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen

* A revised version of this was accepted in Journal of Machine Learning Research 

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GroupLiNGAM: Linear non-Gaussian acyclic models for sets of variables

Jun 24, 2010
Yoshinobu Kawahara, Kenneth Bollen, Shohei Shimizu, Takashi Washio


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