High-Dimensional Causal Discovery: Learning from Inverse Covariance via Independence-based Decomposition. - Shuyu Dong; Kento Uemura; Akito Fujii; Shuang Chang; Yusuke Koyanagi; Koji Maruhashi; Michèle Sebag (CoRR, 2022)

Reeb Complements for Exploring Inclusions Between Isosurfaces From Two Scalar Fields. - Akito Fujii; Osamu Saeki; Daisuke Sakurai (CoRR, 2024)

DCDILP: a distributed learning method for large-scale causal structure learning. - Shuyu Dong; Michèle Sebag; Kento Uemura; Akito Fujii; Shuang Chang; Yusuke Koyanagi; Koji Maruhashi (CoRR, 2024)

DCILP: A Distributed Approach for Large-Scale Causal Structure Learning. - Shuyu Dong; Michèle Sebag; Kento Uemura; Akito Fujii; Shuang Chang; Yusuke Koyanagi; Koji Maruhashi (AAAI, 2025)