Practitioners' insights on machine-learning software engineering design patterns: a preliminary study. - Hironori Washizaki; Hironori Takeuchi; Foutse Khomh; Naotake Natori; Takuo Doi; Satoshi Okuda (ICSME, 2020)

Enterprise Architecture based Representation of Architecture and Design Patterns for Machine Learning Systems. - Hironori Takeuchi; Takuo Doi; Hironori Washizaki; Satoshi Okuda; Nobukazu Yoshioka (EDOC Workshops, 2021)

Software-Engineering Design Patterns for Machine Learning Applications. - Hironori Washizaki; Foutse Khomh; Yann-Gaël Guéhéneuc; Hironori Takeuchi; Naotake Natori; Takuo Doi; Satoshi Okuda (Computer, 2022)

Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training. - Takashi Furuya; Satoshi Okuda; Kazuma Suetake; Yoshihide Sawada (Trans. Mach. Learn. Res., 2024)

Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations. - Takashi Furuya; Koichi Taniguchi; Satoshi Okuda (ICLR, 2025)