I am Naoki Yoshida, a PhD student specializing in machine learning at the University of Tokyo.
My research focuses on the theoretical foundations of deep learning, particularly optimization and generalization.
Affiliation: The University of Tokyo, Graduate School of Arts and Sciences, Department of Multidisciplinary Sciences
Email: naokioasis0508@gmail.com
Google Scholar: link
LinkedIn: link
Naoki Yoshida*, Satoshi Hayakawa*, Yuhta Takida, Toshimitsu Uesaka, Hiromi Wakaki, Yuki Mitsufuji, "Theoretical Refinement of CLIP by Utilizing Linear Structure of Optimal Similarity", Transactions on Machine Learning Research, 2026. paper
Naoki Yoshida, Shogo Nakakita, Masaaki Imaizumi, "Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary Distribution", Transactions on Machine Learning Research, 2025. paper movie code
Naoki Yoshida, Sumio Watanabe, "Upper Bound of Real Log Canonical Threshold of Tensor Decomposition and its Application to Bayesian Inference", International Symposium on Stochastic Systems Theory and Its Applications, 2023. paper
Naoki Yoshida, Isao Ishikawa, Masaaki Imaizumi, "Zero Generalization Error Theorem for Random Interpolators via Algebraic Geometry", arxiv preprint arXiv:2512.06347, 2025. paper
PhD: The University of Tokyo, Graduate School of Arts and Sciences, 2024/04-present
Supervisor: Masaaki Imaizumi
Master (Science): Tokyo Institute of Technology, School of Computing, 2022/04-2024/03
Supervisor: Sumio Watanabe
Bachelor (Engineering): The University of Tokyo, Faculty of Engineering, 2017/04-2022/03
JSPS Research Fellow (DC2), 2025/04-present
JST SPRING GX Fellow, 2024/04-2025/03
Research Assistant, AIST, 2026/10-present
Research Intern, Sony Group Corporation, 2025/05-2025/10
AI Engineer Intern, ACES, 2025/03-2026/09
AI Engineer Intern, Matsuo Institute, 2022/04-2024/03