Sigsoftmax: Reanalysis of the softmax bottleneck S Kanai, Y Fujiwara, Y Yamanaka, S Adachi Advances in Neural Information Processing Systems 31, 2018 | 77 | 2018 |
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 |
Energy gap at first-order quantum phase transitions: An anomalous case J Tsuda, Y Yamanaka, H Nishimori Journal of the Physical Society of Japan 82 (11), 114004, 2013 | 27 | 2013 |
Anomalous behavior of the energy gap in the one-dimensional quantum X Y model M Okuyama, Y Yamanaka, H Nishimori, MM Rams Physical Review E 92 (5), 052116, 2015 | 15 | 2015 |
Supervised anomaly detection based on deep autoregressive density estimators T Iwata, Y Yamanaka arXiv preprint arXiv:1904.06034, 2019 | 10 | 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 |
Generalized Negative Sampling for Implicit Feedback in Recommendation Y Yamanaka, K Sugiyama IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent …, 2021 | 3 | 2021 |
Detecting device, detecting method, and detecting program H Takahashi, T Iwata, Y Yamanaka, M Yamada, S Yagi US Patent App. 17/253,131, 2021 | 2 | 2021 |
Smoothness analysis of loss functions of adversarial training S Kanai, M Yamada, H Takahashi, Y Yamanaka, Y Ida arXiv preprint arXiv:2103.01400, 2021 | 2 | 2021 |
Detecting device and detecting method Y Yamanaka US Patent 11,847,210, 2023 | 1 | 2023 |
Detection device, detection method, and detection program T Takahashi, M Yamada, Y Yamanaka US Patent App. 17/794,984, 2023 | 1 | 2023 |
Detection device and detection method M Yamada, Y Igarashi, Y Yamanaka US Patent 11,563,654, 2023 | 1 | 2023 |
Learning device, learning method, and learning program H Takahashi, T Iwata, S Kanai, A Kumagai, Y Yamanaka, M Yamada, ... US Patent App. 17/777,074, 2022 | 1 | 2022 |
Evaluation device and evaluation method Y Yamanaka US Patent App. 17/252,751, 2021 | 1 | 2021 |
Falsification detection device, falsification detection method, and falsification detection program Y Yamanaka, ITO Manami, R Sato, H Takiguchi, N Chiba, Y Nakajima US Patent App. 18/271,850, 2024 | | 2024 |
Estimation device, estimation method, and estimation program T Nagai, M Yamada, T Takahashi, Y Teramoto, Y Yamanaka US Patent App. 18/035,109, 2023 | | 2023 |