Minimum sharpness: Scale-invariant parameter-robustness of neural networks
　Hikaru Ibayashi, Takuo Hamaguchi, Masaaki Imaizumi
　ICML Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI, 2021/07
　pdf, code (FastExactCalculateTr[H]), code (experiments for our paper), link,

Hypothesis Test and Confidence Analysis with Wasserstein Distance on General Dimension,
　Masaaki Imaizumi, Hirofumi Ota, Takuo Hamaguchi
　arXiv, pdf

Hypothesis Test and Confidence Analysis with Wasserstein Distance on General Dimension
　Masaaki Imaizumi, Hirofumi Ota, Takuo Hamaguchi
　Asian Conference on Machine Learning Workshop on Statistics & Machine Learning Researchers in Japan, 2019/11

類似用例の利用により多義性に対応した日本語述語項構造解析
　芝原 隆善, 濱口 拓男, 松本 裕治
　情報処理学会 第236回自然言語処理研究会, 2018/07, pdf

周辺文脈の集合による単語表現の獲得と関係抽出への応用
　濱口拓男, 大岩秀和, 新保仁, 松本裕治
　NLP若手の会 (YANS) 第12回シンポジウム, (奨励賞受賞), 2017/09

Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach
　Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, and Yuji Matsumoto
　International Joint Conference on Artificial Intelligence 2017, 2017/08
　(IJCAI-17, acceptance rate:26%)
　pdf, codes