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Taiki Miyagawa

Observed name: Miyagawa, Taiki
OpenAlex ID: A5071714722
Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series
2022 · Azusa Sawada, Taiki Miyagawa, et al. · International Joint Conference on Neural Networks (IJCNN) · 11
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Multi-Object Tracking as Attention Mechanism
2023 · Hiroshi Fukui, Taiki Miyagawa, et al. · Proceedings - International Conference on Image Processing · 9
Robust Deepfake Detection for Electronic Know Your Customer Systems Using Registered Images
2025 · Takuma Amada, Kazuya Kakizaki, et al. · International Conference on Automatic Face and Gesture Recognition · 3
Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
2025 · Junki Mori, Kosuke Kihara, et al. · IEEE Winter Conference on Applications of Computer Vision · 3
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Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset
2024 · Hideyuki Oiso, Yuto Matsunaga, et al. · Interspeech (USB) · 3
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Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
2024 · Taiki Miyagawa, Takeru Yokota · neural information processing systems · 3
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Toward Equation of Motion for Deep Neural Networks: Continuous-Time Gradient Descent and Discretization Error Analysis
2022 · Taiki Miyagawa · neural information processing systems · 3
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Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy
2020 · Ebihara, Akinori F., Miyagawa, Taiki, et al. · arXiv (Cornell University) · 3
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Toward Practical Adversarial Attacks on Face Verification Systems
2021 · Kazuya Kakizaki, Taiki Miyagawa, et al. · International Conference of the Biometrics Special Interest Group (BIOSIG) · 2
Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)
2026 · Junki Mori, Kazuya Kakizaki, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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Multi-Object Tracking as Attention Mechanism
2023 · Fukui, Hiroshi, Miyagawa, Taiki, et al. · arXiv (Cornell University) · 1
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The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
2021 · Miyagawa, Taiki, Ebihara, Akinori F. · arXiv (Cornell University) · 1
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A Link Between Shock-Wave Theory and Symmetry-Reduced Stochastic Gradient Descent for Artificial Neural Networks
2026 · Taiki Miyagawa · Lecture notes in computer science
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Symmetry-quotient Flatness and Generalization
2026 · Miyagawa, Taiki · arXiv (Cornell University)
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Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)
2026 · Association for Computational Linguistics 2026, Kakizaki, Kazuya, et al. · Underline Science Inc.
Accurate Evaluation of Quickest Changepoint Detectors via Non-parametric Survival Analysis
2026 · Miyagawa, Taiki, Ebihara, Akinori F. · arXiv (Cornell University)
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EvoFormat: Discovering Effective Graph-to-Text Formats via Rule-Based Evolutionary Search
2026 · Kazuya Kakizaki, Taiki Miyagawa, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Rethinking the Backbone in Class Imbalanced Federated Source Free Domain Adaptation: the Utility of Vision Foundation Models
2025 · Kosuke Kihara, Junki Mori, et al. · IEEE International Conference on Image Processing Workshops (ICIPW)
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Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test
2025 · Ebihara, Akinori F., Miyagawa, Taiki, et al. · arXiv (Cornell University)
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ConvFL: Efficient Federated Learning of Heterogeneous Model Structures with Converters
2024 · Yuto Matsunaga, Satoru Momiyama, et al. · IEEE International Conference on Smart Internet of Things (SmartIoT)
Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification
2023 · Akinori F. Ebihara, Taiki Miyagawa, et al. · IEEE International Conference on Acoustics Speech and Signal Processing
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Deep Neural Networks for the Sequential Probability Ratio Test on Non-i.i.d. Data Series.
2020 · Akinori F. Ebihara, Taiki Miyagawa, et al. · arXiv (Cornell University)
Works count: 23
Citation count: 43
H-index: 3
I10-index: 1
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