| Improving robustness to out-of-distribution data by frequency-based augmentation K Mukai, S Kumano, T Yamasaki 2022 IEEE International Conference on Image Processing (ICIP), 3116-3120, 2022 | 5 | 2022 |
| Prediction of Seismic Intensity Distributions Using Neural Networks K Mizutani, H Mitarai, K Miyazaki, R Shimamura, S Kumano, T Yamasaki 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE), 424-425, 2022 | 2 | 2022 |
| Superclass adversarial attack S Kumano, H Kera, T Yamasaki arXiv preprint arXiv:2205.14629, 2022 | 2 | 2022 |
| Are DNNs fooled by extremely unrecognizable images? S Kumano, H Kera, T Yamasaki arXiv preprint arXiv:2012.03843, 2020 | 2 | 2020 |
| Theoretical Understanding of Learning from Adversarial Perturbations S Kumano, H Kera, T Yamasaki arXiv preprint arXiv:2402.10470, 2024 | 1 | 2024 |
| Adversarial Training from Mean Field Perspective S Kumano, H Kera, T Yamasaki Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Language-guided Detection and Mitigation of Unknown Dataset Bias Z Zhao, S Kumano, T Yamasaki arXiv preprint arXiv:2406.02889, 2024 | | 2024 |
| Data-Driven Prediction of Seismic Intensity Distributions Featuring Hybrid Classification-Regression Models K Mizutani, H Mitarai, K Miyazaki, S Kumano, T Yamasaki arXiv preprint arXiv:2402.02150, 2024 | | 2024 |
| Theoretical Explanation for Generalization from Adversarial Perturbations S Kumano, H Kera, T Yamasaki NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023 | | 2023 |
| Sparse fooling images: Fooling machine perception through unrecognizable images S Kumano, H Kera, T Yamasaki Pattern Recognition Letters 172, 259-265, 2023 | | 2023 |
| Probabilistic Approach towards Theoretical Understanding for Adversarial Training S Kumano, H Kera, T Yamasaki IEICE Technical Report; IEICE Tech. Rep. 122 (385), 95-100, 2023 | | 2023 |
| ファッション画像に特化したクラスタリング 小路光， 熊野創一郎， 山崎俊彦 第 84 回全国大会講演論文集 2022 (1), 609-610, 2022 | | 2022 |
| 画像の周波数成分を考慮したデータ拡張による CNN の分布外データへの頑健性向上 向井皇喜， 熊野創一郎， 山崎俊彦 第 84 回全国大会講演論文集 2022 (1), 225-226, 2022 | | 2022 |
| ニューラルネットワークを用いた震度分布予測 御手洗陽紀， 水谷航悠， 宮崎翔， 島村龍伍， 熊野創一郎， 山崎俊彦 電子情報通信学会技術研究報告; 信学技報 121 (374), 43-48, 2022 | | 2022 |
| Sparse Fooling Images: 認識誤りを誘発するピクセル画像 熊野創一郎， 計良宥志， 山崎俊彦 IEICE Conferences Archives, 2021 | | 2021 |
| DNN を用いた震度分布予測 御手洗陽紀， 水谷航悠， 宮崎翔， 島村龍伍， 熊野創一郎， 山崎俊彦 電子情報通信学会技術研究報告; 信学技報, 0 | | |
| Prediction of Seismic Intensity Distribution Using Deep Neural Networks H Mitarai, K Mizutani, K Miyazaki, R Shimamura, S Kumano, T Yamasaki IEICE Technical Report; IEICE Tech. Rep., 0 | | |
Toshihiko YamasakiDepartment of Information and Communication Engineering, The University of TokyoVerified email at cvm.t.u-tokyo.ac.jp
