Yuto Inui

I am Yuto Inui, a Ph.D student at The University of Osaka, working on machine learning from the perspective of dynamical systems.

Under the supervision of Yoshinobu Kawahara, I study machine learning from the perspective of dynamical systems. My research encompasses not only the learning of dynamical systems but also models and algorithms with dynamical structure.

Research Keywords

• Neural Differential Equations
• Oscillatory Neural Networks
• Perron Frobenius Operator
• Contrastive Learning
• Flow Matching

This page is still under construction, and I will gradually update it with my profile, research, and publications.