Toward equation of motion for deep neural networks: Continuous-time gradient descent and discretization error analysis T Miyagawa Advances in Neural Information Processing Systems 35, 37778-37791, 2022 | 11 | 2022 |
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy AF Ebihara, T Miyagawa, K Sakurai, H Imaoka International Conference on Learning Representations, 2021 | 10 | 2021 |
Double‐trace deformations and entanglement entropy in AdS T Miyagawa, N Shiba, T Takayanagi Fortschritte der Physik 64 (1), 92-105, 2016 | 10 | 2016 |
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization T Miyagawa, AF Ebihara Proceedings of the 38th International Conference on Machine Learning 139 …, 2021 | 9 | 2021 |
Convolutional neural networks for time-dependent classification of variable-length time series A Sawada, T Miyagawa, A Ebihara, S Yachida, T Hosoi 2022 International joint conference on neural networks (IJCNN), 1-8, 2022 | 7 | 2022 |
Multi-object tracking as attention mechanism H Fukui, T Miyagawa, Y Morishita 2023 IEEE international conference on image processing (ICIP), 505-509, 2023 | 6 | 2023 |
Toward asymptotic optimality: Sequential unsupervised regression of density ratio for early classification AF Ebihara, T Miyagawa, K Sakurai, H Imaoka ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 6 | 2023 |
Toward practical adversarial attacks on face verification systems K Kakizaki, T Miyagawa, I Singh, J Sakuma 2021 International Conference of the Biometrics Special Interest Group …, 2021 | 3 | 2021 |
Deep Neural Networks for the Sequential Probability Ratio Test on Non-iid Data Series. AF Ebihara, T Miyagawa, K Sakurai, H Imaoka arXiv preprint arXiv:2006.05587, 2020 | 1 | 2020 |
Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test AF Ebihara, T Miyagawa, K Sakurai, H Imaoka arXiv preprint arXiv:2501.18059, 2025 | | 2025 |
Information processing apparatus, information processing method, and recording medium T Miyagawa US Patent App. 18/712,780, 2025 | | 2025 |
Classification apparatus, classification method, and recording medium T Miyagawa, A Ebihara US Patent App. 18/708,262, 2025 | | 2025 |
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data J Mori, K Kihara, T Miyagawa, AF Ebihara, I Teranishi, H Kashima arXiv preprint arXiv:2412.13757, 2024 | | 2024 |
ConvFL: Efficient Federated Learning of Heterogeneous Model Structures with Converters Y Matsunaga, S Momiyama, B Enkhtaivan, T Miyagawa, I Teranishi 2024 IEEE International Conference on Smart Internet of Things (SmartIoT …, 2024 | | 2024 |
Learning device, learning method, and recording medium A Ebihara, T Miyagawa US Patent 12,136,257, 2024 | | 2024 |
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees T Miyagawa, T Yokota arXiv preprint arXiv:2410.18153, 2024 | | 2024 |
Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset H Oiso, Y Matsunaga, K Kakizaki, T Miyagawa arXiv preprint arXiv:2410.09869, 2024 | | 2024 |
Information processing system, information processing method, and computer program T Miyagawa, A Ebihara US Patent 12,087,035, 2024 | | 2024 |
Information processing apparatus, information processing method, medical image identification device, and non-transitory computer readable medium storing program K Watanabe, A Ebihara, T Miyagawa US Patent App. 18/567,102, 2024 | | 2024 |
Image processing device, image processing method, and storage medium K Watanabe, M Saikou, A Ebihara, T Miyagawa US Patent App. 18/287,543, 2024 | | 2024 |