| Variational autoencoder with implicit optimal priors H Takahashi, T Iwata, Y Yamanaka, M Yamada, S Yagi Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5066-5073, 2019 | 69 | 2019 |
| Student-t Variational Autoencoder for Robust Density Estimation. H Takahashi, T Iwata, Y Yamanaka, M Yamada, S Yagi IJCAI, 2696-2702, 2018 | 43 | 2018 |
| Autoencoding binary classifiers for supervised anomaly detection Y Yamanaka, T Iwata, H Takahashi, M Yamada, S Kanai PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 38 | 2019 |
| Relationship between nonsmoothness in adversarial training, constraints of attacks, and flatness in the input space S Kanai, M Yamada, H Takahashi, Y Yamanaka, Y Ida IEEE Transactions on Neural Networks and Learning Systems, 2023 | 6 | 2023 |
| Smoothness analysis of adversarial training S Kanai, M Yamada, H Takahashi, Y Yamanaka, Y Ida arXiv preprint arXiv:2103.01400, 2021 | 6 | 2021 |
| Adversarial training makes weight loss landscape sharper in logistic regression M Yamada, S Kanai, T Iwata, T Takahashi, Y Yamanaka, H Takahashi, ... arXiv preprint arXiv:2102.02950, 2021 | 5 | 2021 |
| One-vs-the-rest loss to focus on important samples in adversarial training S Kanai, S Yamaguchi, M Yamada, H Takahashi, K Ohno, Y Ida International Conference on Machine Learning, 15669-15695, 2023 | 3 | 2023 |
| Learning optimal priors for task-invariant representations in variational autoencoders H Takahashi, T Iwata, A Kumagai, S Kanai, M Yamada, Y Yamanaka, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 3 | 2022 |
| Constraining logits by bounded function for adversarial robustness S Kanai, M Yamada, S Yamaguchi, H Takahashi, Y Ida 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 3 | 2021 |
| Meta-learning for Robust Anomaly Detection. A Kumagai, T Iwata, H Takahashi, Y Fujiwara AISTATS, 675-691, 2023 | | 2023 |
| Improving Variational Autoencoders on Robustness, Regularization, and Task-Invariance T Hiroshi Kyoto University, 2023 | | 2023 |
| Student-t VAE によるロバスト確率密度推定 高橋大志， 岩田具治， 山中友貴， 山田真徳， 八木哲志， 鹿島久嗣 人工知能学会論文誌 36 (3), A-KA4_1-9, 2021 | | 2021 |
Masanori YamadaNTTVerified email at hco.ntt.co.jp
