Miyagawa, Taiki

6 publications

WACV 2025 Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data Junki Mori, Kosuke Kihara, Taiki Miyagawa, Akinori F. Ebihara, Isamu Teranishi, Hisashi Kashima

ICLR 2025 Learning the Optimal Stopping for Early Classification Within Finite Horizons via Sequential Probability Ratio Test Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka

NeurIPS 2024 Physics-Informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees Taiki Miyagawa, Takeru Yokota

NeurIPS 2022 Toward Equation of Motion for Deep Neural Networks: Continuous-Time Gradient Descent and Discretization Error Analysis Taiki Miyagawa

ICLR 2021 Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy Akinori F Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka

ICML 2021 The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization Taiki Miyagawa, Akinori F Ebihara