Publications

Articles

  1. Masahiro Kobayashi, Kazuho Watanabe, "Generalized Dirichlet-process-means for f-separable distortion measures," to appear in Neurocomputing, 2021. <arXiv>
  2. M. Kobayashi, K. Watanabe, "A rate-distortion theoretic view of Dirichlet process means clustering," IEICE Transactions on Fundamentals, vol. J100-A, no.12 , pp.475-486, Dec. 2017 (in Japanese). <Open access>
    Dec. 2017, Jul. 2018 to Mar. 2019, IEICE-A Most downloaded paper (Entering Top 4 for 16 consecutive months)

International conference

  1. Masahiro Kobayashi, Kazuho Watanabe, "Unbiased Estimation Equation under f-Separable Bregman Distortion Measures, " Proc. of the IEEE Information Theory Workshop (ITW2020), Virtual conf. (Riva del Garda, Italy), pp.311-315, Apr. 2021. <arXiv>
  2. Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi, "Multi-Decoder RNN Autoencoder Based on Variational Bayes Method," Proc. of International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, pp.19-24, July 2020. <arXiv>
  3. Masahiro Kobayashi, Kazuho Watanabe, "Unbiased Estimation Equation Under f-Separable Extension of Squared and Itakura-Saito Distances," Data Science, Statistics & Visualisation (DSSV), Doshisha University, Kyoto, Japan, Poster, Aug. 2019.
  4. Masahiro Kobayashi, Kazuho Watanabe, "Generalized Dirichlet-Process-Means for Robust and Maximum Distortion Criteria," Proc. of International Symposium on Information Theory and Its Applications (ISITA), Singapore, pp.45-49, Oct. 2018.

Preprint

Domestic conference (in Japanese)

  1. M. Kobayashi, K. Watanabe, "Robust Non-Negative Matrix Factorization based on f-Separable Bregman Distortion Measures," Proc. of SITA2019, pp. 366-371, Nov. 2019.
  2. M. Kobayashi, K. Watanabe, "Unbiased Estimation Equation for f-Separable Bregman Distortion Measures and the Properties of Its Estimators," Technical Report of IEICE, IT2019-22, pp.37-42, Jul. 2019.
  3. M. Kobayashi, K. Watanabe, "Dirichlet-Process-Means for f-Separable Distortion Measures and Analysis of Robustness," Proc. of SITA2018, pp. 359-364, Dec. 2018.
  4. M. Kobayashi, K. Watanabe, "Generalized Dirichlet-Process-Means with f-Mean and Analysis of Influence Function," Technical Report of IEICE, IBISML2018-50, pp.45-52, Nov. 2018.
  5. M. Kobayashi, K. Watanabe, "Generalized Dirichlet Process Means Clustering Including Maximum Distortion Minimization," Proc. of SITA2017, pp. 31-36, Nov. 2017.
  6. D. Kaji, M. Kobayashi, K. Watanabe, "Extraction of Distribtion Changes using On-line t-SNE," Technical Report of IEICE, IBISML2017-36, pp.9-13, Nov. 2017.
  7. M. Kobayashi, K. Watanabe, "Generalized Distortion Measures in Dirichlet Process Means Clustering," SITA2016, Poster Session, Dec. 2016.
  8. M. Kobayashi, K. Watanabe, "A rate-distortion theoretic view of the threshold parameter of Dirichlet Process means," Proceedings of the 2016 IEICE General Conference: Student Poster Session, p.187, Mar. 2016.

Doctoral thesis

  1. M. Kobayashi, "Machine Learning Algorithms for f-Separable Bregman Distortion Measures and Analysis of Statistical Properties," Toyohashi University of Technology, June 2021.

Awards

  1. M. KobayashiStudent Award,Toyohashi University of Technology, Mar. 2021.
  2. M. KobayashiSITA Young Researcher Paper Award,Aug. 2020.
  3. M. KobayashiIEICE Tokai Section Student Award 2017,Jun. 2018.
  4. M. Kobayashi, "An Information Theoretic View of Dirichlet Process Means Clustering and Generalized Distortion Measures," Dept. of Computer Science and Engineering, Toyohashi University of Technology, Master's thesis research presentation, Best Special Research Presentation Award, Feb. 2018. (in Japanese)