Theoretically and Empirically High Quality Estimation of Closeness Centrality. - Shogo Murai (ICDM, 2017)

Estimating Walk-Based Similarities Using Random Walk. - Shogo Murai; Yuichi Yoshida (WWW, 2019)

Sensitivity Analysis of Centralities on Unweighted Networks. - Shogo Murai; Yuichi Yoshida (WWW, 2019)

Online-Codistillation Meets LARS, Going beyond the Limit of Data Parallelism in Deep Learning. - Shogo Murai; Hiroaki Mikami; Masanori Koyama; Shuji Suzuki; Takuya Akiba (DLS@SC, 2020)

A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training. - Hiroaki Mikami; Kenji Fukumizu; Shogo Murai; Shuji Suzuki; Yuta Kikuchi; Taiji Suzuki; Shin-ichi Maeda; Kohei Hayashi (CoRR, 2021)

A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective? - Hiroaki Mikami; Kenji Fukumizu; Shogo Murai; Shuji Suzuki; Yuta Kikuchi; Taiji Suzuki; Shin-ichi Maeda; Kohei Hayashi (ECML/PKDD (3), 2022)

PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency. - Kenshin Abe; Kaizaburo Chubachi; Yasuhiro Fujita 001; Yuta Hirokawa; Kentaro Imajo; Toshiki Kataoka; Hiroyoshi Komatsu; Hiroaki Mikami; Tsuguo Mogami; Shogo Murai; Kosuke Nakago; Daisuke Nishino; et al. (CoRR, 2024)