Taiki Miyagawa

27 papers A* 5A 2B 3Misc 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG). CoRR Junki Mori, Kazuya Kakizaki, Taiki Miyagawa, Jun Sakuma
2025	A	`conf`	Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data. WACV Junki Mori, Kosuke Kihara, Taiki Miyagawa, Akinori F. Ebihara, Isamu Teranishi, Hisashi Kashima
2025	A*	`conf`	Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test. ICLR Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka
2025	J	`jnl`	Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test. CoRR Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka
2025	J	`jnl`	Rethinking the Backbone in Class Imbalanced Federated Source Free Domain Adaptation: The Utility of Vision Foundation Models. CoRR Kosuke Kihara, Junki Mori, Taiki Miyagawa, Akinori F. Ebihara
2025	—	`conf`	Rethinking the Backbone in Class Imbalanced Federated Source Free Domain Adaptation: the Utility of Vision Foundation Models. ICIPW Kosuke Kihara, Junki Mori, Taiki Miyagawa, Akinori F. Ebihara
2025	B	`conf`	Robust Deepfake Detection for Electronic Know Your Customer Systems Using Registered Images. FG Takuma Amada, Kazuya Kakizaki, Taiki Miyagawa, Akinori F. Ebihara, Kaede Shiohara, Toshihiko Yamasaki
2025	J	`jnl`	Robust Deepfake Detection for Electronic Know Your Customer Systems Using Registered Images. CoRR Takuma Amada, Kazuya Kakizaki, Taiki Miyagawa, Akinori F. Ebihara, Kaede Shiohara, Toshihiko Yamasaki
2024	—	`conf`	ConvFL: Efficient Federated Learning of Heterogeneous Model Structures with Converters. SmartIoT Yuto Matsunaga, Satoru Momiyama, Batnyam Enkhtaivan, Taiki Miyagawa, Isamu Teranishi
2024	J	`jnl`	Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data. CoRR Junki Mori, Kosuke Kihara, Taiki Miyagawa, Akinori F. Ebihara, Isamu Teranishi, Hisashi Kashima
2024	A*	`conf`	Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees. NeurIPS Taiki Miyagawa, Takeru Yokota
2024	J	`jnl`	Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees. CoRR Taiki Miyagawa, Takeru Yokota
2024	A	`conf`	Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset. INTERSPEECH Hideyuki Oiso, Yuto Matsunaga, Kazuya Kakizaki, Taiki Miyagawa
2024	J	`jnl`	Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset. CoRR Hideyuki Oiso, Yuto Matsunaga, Kazuya Kakizaki, Taiki Miyagawa
2023	B	`conf`	Multi-Object Tracking as Attention Mechanism. ICIP Hiroshi Fukui, Taiki Miyagawa, Yusuke Morishita
2023	J	`jnl`	Multi-Object Tracking as Attention Mechanism. CoRR Hiroshi Fukui, Taiki Miyagawa, Yusuke Morishita
2023	Misc	`conf`	Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification. ICASSP Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka
2023	J	`jnl`	Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification. CoRR Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka
2022	B	`conf`	Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series. IJCNN Azusa Sawada, Taiki Miyagawa, Akinori F. Ebihara, Shoji Yachida, Toshinori Hosoi
2022	J	`jnl`	Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series. CoRR Azusa Sawada, Taiki Miyagawa, Akinori F. Ebihara, Shoji Yachida, Toshinori Hosoi
2022	A*	`conf`	Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis. NeurIPS Taiki Miyagawa
2022	J	`jnl`	Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis. CoRR Taiki Miyagawa
2021	A*	`conf`	Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy. ICLR Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka
2021	A*	`conf`	The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization. ICML Taiki Miyagawa, Akinori F. Ebihara
2021	J	`jnl`	The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization. CoRR Akinori F. Ebihara, Taiki Miyagawa
2021	—	`conf`	Toward Practical Adversarial Attacks on Face Verification Systems. BIOSIG Kazuya Kakizaki, Taiki Miyagawa, Inderjeet Singh, Jun Sakuma
2020	J	`jnl`	Deep Neural Networks for the Sequential Probability Ratio Test on Non-i.i.d. Data Series. CoRR Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka