Sota Nishiyama / 西山 颯大
master's student at UTokyo / neural networks / statistical physics
I am currently a second-year master’s student at the Department of Basic Science, Graduate School of Arts and Sciences, The University of Tokyo, where I am advised by Prof. Masaaki Imaizumi. I also work as a Part-Time Researcher at the High-Dimensional Structure Theory Team, RIKEN Center for Advanced Intelligence Project (AIP).
Prior to that, I received my Bachelor’s degree in Engineering from Tohoku University, where I was supervised by Prof. Kazuyuki Tanaka and Prof. Masayuki Ohzeki.
My research interests focus on the theory of machine learning and neural networks, particularly the learning dynamics of neural networks. I am also interested in statistical physics of disordered systems and applying its tools to study neural networks.
News
| 2026-02-10 | New preprint: Dichotomy of Feature Learning and Unlearning: Fast-Slow Analysis on Neural Networks with Stochastic Gradient Descent. |
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| 2026-02-09 | New preprint: High-Dimensional Limit of Stochastic Gradient Flow via Dynamical Mean-Field Theory. |