| Recurrent Neural Networks for Learning Long-term Temporal Dependencies with Reanalysis of Time Scale Representation K Ohno, A Kumagai 2021 IEEE International Conference on Big Knowledge (ICBK), 182-189, 2021 | 6 | 2021 |
| One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training S Kanai, SY Yamaguchi, M Yamada, H Takahashi, K Ohno, Y Ida International Conference on Machine Learning, 15669-15695, 2023 | 3 | 2023 |
| A Quasi-Initial Solution Giving Method for Ising Machines by Controlling External Magnetic Field Coefficients S Kawakami, K Ohno, D Ba, S Yagi, J Teramoto, N Togawa 2023 IEEE International Conference on Consumer Electronics (ICCE), 1-6, 2023 | 2 | 2023 |
| Minimising CM degree and slope stability of projective varieties K Ohno Mathematical Proceedings of the Cambridge Philosophical Society 172 (1), 125-137, 2021 | 2 | 2021 |
| Giving a Quasi-Initial Solution to Ising Machines by Controlling External Magnetic Field Coefficients S KAWAKAMI, K OHNO, D BA, S YAGI, J TERAMOTO, N TOGAWA IEICE Transactions on Fundamentals of Electronics, Communications and …, 2024 | 1 | 2024 |
| Toward Practical Benchmarks of Ising Machines: A Case Study on the Quadratic Knapsack Problem K Ohno, T Shirai, N Togawa arXiv preprint arXiv:2403.19175, 2024 | | 2024 |
| An Interaction Coefficient Control Method for Setting Initial Solutions to Ising Machines S Kawakami, K Ohno, D Ba, S Yagi, J Teramoto, N Togawa 2024 IEEE International Conference on Consumer Electronics (ICCE), 1-2, 2024 | | 2024 |
| Linearization via Ordering Variables in Binary Optimization for Ising Machines K Ohno, N Togawa arXiv preprint arXiv:2307.05125, 2023 | | 2023 |
| Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks K Ohno, S Kanai, Y Ida Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9319-9326, 2023 | | 2023 |
| A Security Verification Framework of Cryptographic Protocols Using Machine Learning K Ohno, M Nakabayashi arXiv preprint arXiv:2304.13249, 2023 | | 2023 |
| Switching One-Versus-the-Rest Loss to Increase Logit Margins for Adversarial Robustness S Kanai, S Yamaguchi, M Yamada, H Takahashi, K Ohno, Y Ida | | 2022 |
| Switching One-Versus-the-Rest Loss to Increase the Margin of Logits for Adversarial Robustness S Kanai, S Yamaguchi, M Yamada, H Takahashi, K Ohno, Y Ida arXiv preprint arXiv:2207.10283, 2022 | | 2022 |
Nozomu TogawaProfessor, Waseda UniversityVerified email at waseda.jp
