Yuto Inui
The University of Osaka Ph.D student
The University of Osaka
Ph.D student
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
- Flow Matching
news
| Mar 26, 2026 | Our paper, “Kernel Occupation Readout for Oscillatory Recurrent Neural Networks”, was accepted at IJCNN 2026. |
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| Aug 21, 2024 | Our paper, “Learning with Almost Invariant Sets in Neural Oscillatory ODEs”, was accepted at ICONIP 2024. |