| 2025 | ICLR | Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models. | Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Yuki Mitsufuji |
| 2025 | ICML | Distillation of Discrete Diffusion through Dimensional Correlations. | Satoshi Hayakawa, Yuhta Takida, Masaaki Imaizumi, Hiromi Wakaki, Yuki Mitsufuji |
| 2024 | AISTATS | Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach. | Masaki Adachi, Satoshi Hayakawa, Martin Jrgensen, Xingchen Wan, Vu Nguyen, Harald Oberhauser, Michael A. Osborne |
| 2023 | ICML | Sampling-based Nystrm Approximation and Kernel Quadrature. | Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons |
| 2023 | ICML | Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation. | Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda |
| 2022 | IECON | Synthesis of Adaptive Gain Robust Controllers for Polytopic Uncertain Systems with Multiple Unknown Dead-Zone Inputs. | Satoshi Hayakawa, Takuya Nakagawa, Hidetoshi Oya, Yoshikatsu Hoshi |
| 2007 | KES | Term Clustering in Texts Based on Fuzzy Neighborhoods and Kernel Functions. | Sadaaki Miyamoto, Satoshi Hayakawa, Yuichi Kawasaki |
| 2005 | SMC | Classification and clustering of information objects based on fuzzy neighborhood system. | Sadaaki Miyamoto, Yasunori Endo, Satoshi Hayakawa, Erina Kataoka |