Journal Paper

• Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima. Objective and efficient inference for couplings in neuronal network, Journal of Statistical Mechanics: Theory and Experiment, 2019, pp. 124010(1-14), Dec. 2019.
• Masato Suzuki, Yoshiyuki Kabashima. Statistical mechanics of the minimum vertex cover problem in stochastic block models, Physical Review E, Vol. 100, pp. 062101(1-9), Dec. 2019.
• Chihiro Noguchi, Yoshiyuki Kabashima. Approximate matrix completion based on cavity method, Journal of Physics A: Mathematical and Theoretical, Vol. 52, pp. 424004(1-19), Sept. 2019.
• Johan Pensar, Yingying Xu, Santeri Puranen, Maiju Pesonen, Yoshiyuki Kabashima, Jukka Corander. Computational Statistics and Data Analysisjournal homepage:High-dimensional structure learning of binary pairwiseMarkov networks: A comparative numerical study, Computational Statistics and Data Analysis, Vol. 141, pp. 62-76, July 2019.
• Tomoyuki Obuchi, Yoshiyuki Kabashima. Semi-Analytic Resampling in Lasso, Journal of Machine Learning Research, Journal of Machine Learning Research, Vol. 20, No. 70, pp. 1-33, Apr. 2019.  Official location  
• Tatsuro Kawamoto, Yoshiyuki Kabashima. Counting the number of metastable states in the modularity landscape: Algorithmic detectability limit of greedy algorithms in community detection, Physical Review E, Vol. 99, pp. 010301(R)(1-5), Jan. 2019.

Other Publication

• takafumi kanamori, YOSHIYUKI KABASHIMA, Misako Takayasu, Yumiharu Nakano, Mituhiro Fukuda, Naoto Miyoshi, Makoto Yamashita, SUMIO WATANABE. 東京工業大学情報理工学院数理・計算科学系―情報の未来を作り出す数理的アプローチを探究する―, オペレーションズ・リサーチ, Vol. 64, No. 1, pp. 31-32, Jan. 2019.

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