Kyushu University Academic Staff Educational and Research Activities Database
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Yoshinobu Kawahara Last modified date:2019.06.12





E-Mail
Homepage
http://en.kawahara-lab.org/
Website of the laboratory (English) .
http://www.riken.jp/en/research/labs/aip/generic_tech/struct_learn/
Website of Structure Learning Team, RIKEN AIP Center (English) .
Phone
092-802-4474
Academic Degree
Doctor of Engineering (The University of Tokyo)
Country of degree conferring institution (Overseas)
No
Field of Specialization
Machine Learning
Research
Research Interests
  • Operator-theoretic Data Analysis of Dynamical Systems
    keyword : time-series data, dynamical system, machine learning, transfer operator
    2016.04.
  • Machine Learning with Prior Information on Structures in Data
    keyword : machine learning, structured learning, discrete structure
    2009.04.
  • Combinatorial Optimization for Machine Learning
    keyword : machine learning, combinatorial optimization, submodular set-function
    2008.04.
  • Machine learning for time-series data
    keyword : time-series prediction, change-point detection, learning dynamical systems
    2005.04.
Academic Activities
Papers
1. I. Ishikawa, K. Fujii, M. Ikeda, Y. Hashimoto, and Y. Kawahara, Metric on nonlinear dynamical systems with Perron-Frobenius operators, Advances in Neural Information Processing Systems 31 (Proc. of NeurIPS'18), 2858-2868, 2018.12, [URL].
2. K. Fujii, T. Kawasaki, Y. Inaba, and Y. Kawahara, Prediction and classification in equation-free collective motion dynamics, PLoS Computational Biology, 10.1371/journal.pcbi.1006545, 14, 11, e1006545, 2018.11, [URL].
3. N. Takeishi, Y. Kawahara, and T. Yairi, Learning Koopman invariant subspaces for dynamic mode decomposition, Advances in Neural Information Processing Systems 30 (Proc. of NIPS'17), 1130-1140, 2017.12, [URL].
4. H. Wang, Y. Kawahara, C. Weng, and J. Yuan, Representative Selection with Structured Sparsity, Pattern Recognition, 10.1016/j.patcog.2016.10.014, 63, 268-278, 2017.03, [URL].
5. Y. Kawahara, Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis, Advances in Neural Information Processing Systems 29 (Proc. of NIPS'16), 911-919, 2016.12, [URL].
6. Bo Xin, Yoshinobu Kawahara, Yizhou Wang, Lingjing Hu, Wen Gao, Efficient generalized fused lasso and its applications, ACM Transactions on Intelligent Systems and Technology, 10.1145/2847421, 7, 4, 2016.05, [URL].