Deep Neural Networks for the Sequential Probability Ratio Test on Non-i.i.d. Data Series. - Akinori F. Ebihara; Taiki Miyagawa; Kazuyuki Sakurai; Hitoshi Imaoka (CoRR, 2020)

Toward Practical Adversarial Attacks on Face Verification Systems. - Kazuya Kakizaki; Taiki Miyagawa; Inderjeet Singh; Jun Sakuma (BIOSIG, 2021)

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

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

Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series. - Azusa Sawada; Taiki Miyagawa; Akinori F. Ebihara; Shoji Yachida; Toshinori Hosoi (IJCNN, 2022)

Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis. - Taiki Miyagawa (NeurIPS, 2022)

Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification. - Akinori F. Ebihara; Taiki Miyagawa; Kazuyuki Sakurai; Hitoshi Imaoka (ICASSP, 2023)

Multi-Object Tracking as Attention Mechanism. - Hiroshi Fukui; Taiki Miyagawa; Yusuke Morishita (ICIP, 2023)

Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset. - Hideyuki Oiso; Yuto Matsunaga; Kazuya Kakizaki; Taiki Miyagawa (INTERSPEECH, 2024)

Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees. - Taiki Miyagawa; Takeru Yokota (NeurIPS, 2024)

ConvFL: Efficient Federated Learning of Heterogeneous Model Structures with Converters. - Yuto Matsunaga; Satoru Momiyama; Batnyam Enkhtaivan; Taiki Miyagawa; Isamu Teranishi (SmartIoT, 2024)

Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test. - Akinori F. Ebihara; Taiki Miyagawa; Kazuyuki Sakurai; Hitoshi Imaoka (ICLR, 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 (WACV, 2025)

Robust Deepfake Detection for Electronic Know Your Customer Systems Using Registered Images. - Takuma Amada; Kazuya Kakizaki; Taiki Miyagawa; Akinori F. Ebihara; Kaede Shiohara; Toshihiko Yamasaki (CoRR, 2025)