研究概要

主要論文

• 1.Fujii, K., Takeishi, N., Hojo, M., Inaba, Y., and Kawahara, Y.:
  "Physically-interpretable classification of network dynamics in complex collective motions"
  Scientific Reports, Vol.10, Article number 3005 (2020).
• 2.Takeuchi, N., Yoshida, Y., and Kawahara, Y.:
  "Variational inference of penalized regression with submodular functions"
  Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI'19), 443 (2019).
• 3.Ishikawa, I., Fujii, K., Ikeda, M., Hashimoto, Y., and Kawahara, Y.:
  "Metric for nonlinear dynamical systems with Koopman operators"
  Advances in Neural Information Processing Systems 31, pp.2858-2868 (2018).
• 4.Takeishi, N., Kawahara, Y., and Yairi, T.:
  "Learning Koopman invariant subspaces for dynamic mode decomposition"
  Advances in Neural Information Processing Systems 30, pp.1130-1140 (2017).
• 5.Wang, H., Kawahara, Y., Weng, C., and Yuan, J.:
  "Representative selection with structured sparsity"
  Pattern Recognition, Vol.63, pp.268-278 (2017).
• 6.Kawahara, Y.:
  "Dynamic mode decomposition with reproducing kernels for Koopman spectral analysis"
  Advances in Neural Information Processing Systems 29, pp.911-919 (2016).
• 7.Xin, B., Kawahara, Y., Wang, Y., Hu, L., and Gao, W.:
  "Efficient generalized fused Lasso and its applications"
  ACM Transactions on Intelligent Systems and Technology (TIST), Vol.7, No.4, pp.60:1-60:22 (2016).
• 8.Kawahara, Y., and Sugiyama, M.:
  "Sequential change-point detection based on direct density-ratio estimation"
  Statistical Analysis and Data Mining, Vol.5, No.2, pp.114-127 (2012).
• 9.Kawahara, Y., Nagano, K., Tsuda, K., and Bilmes, J.A.:
  "Submodularity cuts and applications"
  Advances in Neural Information Processing Systems 22, pp.916-924 (2009).
• 10.Kawahara, Y., Yairi, T., and Machida, K.:
  "Change-point detection in time-series data based on subspace identification"
  Proceedings of the 7th IEEE International Conference on Data Mining (ICDM’07), pp.559-564 (2007).

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