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Taiki Miyagawa
Taiki Miyagawa
NEC Corporation; Independent researcher
Correu electrònic verificat a nec.com - Pàgina d'inici
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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
112022
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
102021
Double‐trace deformations and entanglement entropy in AdS
T Miyagawa, N Shiba, T Takayanagi
Fortschritte der Physik 64 (1), 92-105, 2016
102016
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
92021
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
72022
Multi-object tracking as attention mechanism
H Fukui, T Miyagawa, Y Morishita
2023 IEEE international conference on image processing (ICIP), 505-509, 2023
62023
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
62023
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
32021
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
12020
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
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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