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First year master's student
Graduate School of Engineering Science
Osaka University
I am conducting research on achieving higher-performance deep learning-based modeling by utilizing the geometric properties inherent in systems as inductive biases.
keywords
geometric deep learning, AI for Science, scientific machine learning
News
Jan, 2025 : My paper has been accepted for International Conference on Scientific Computing and Machine Learning 2025 (SCML2025) as an oral presentation.
Jan, 2025 : My paper, "Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains," co-authored with Prof. Yoshimura, Waseda University, Prof. Yaguchi, Kobe University, and Prof. Matsubara, Hokkaido University accepted at The Thirteenth International Conference on Learning Representations (ICLR2025).
Oct, 2024 : My paper was accepted for presentation at the NeurIPS 2024 Workshops on Machine Learning and the Physical Sciences .
May, 2025 : My paper has been accepted for CAI2024 Workshop on Scientific Machine Learning and Its Industrial Applications (SMLIA2024).
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