| 2025 | ICML | Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines. | Sho Sonoda, Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda |
| 2024 | ICML | Position: C∗-Algebraic Machine Learning - Moving in a New Direction. | Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri |
| 2023 | AISTATS | Learning in RKHM: a C*-Algebraic Twist for Kernel Machines. | Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri |
| 2022 | ICML | Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis. | Sho Sonoda, Isao Ishikawa, Masahiro Ikeda |
| 2021 | AISTATS | Ridge Regression with Over-parametrized Two-Layer Networks Converge to Ridgelet Spectrum. | Sho Sonoda, Isao Ishikawa, Masahiro Ikeda |
| 2020 | KDD | Hypergraph Clustering Based on PageRank. | Yuuki Takai, Atsushi Miyauchi, Masahiro Ikeda, Yuichi Yoshida |
| 2010 | IROS | Facilitating multi-modal locomotion in a quadruped robot utilizing passive oscillation of the spine structure. | Takashi Takuma, Masahiro Ikeda, Tatsuya Masuda |
| 2005 | ISCAS | Device technology for body biasing scheme. | Kiyotaka Imai, Yasushi Yamagata, Sadaaki Masuoka, Naohiko Kimuzuka, Yuri Yasuda, Mitsuhiro Togo, Masahiro Ikeda, Yasutaka Nakashiba |