| Cupy: A numpy-compatible library for nvidia gpu calculations R Okuta, Y Unno, D Nishino, S Hido, C Loomis Proceedings of workshop on machine learning systems (LearningSys) in the …, 2017 | 346 | 2017 |
| Chainer: A deep learning framework for accelerating the research cycle S Tokui, R Okuta, T Akiba, Y Niitani, T Ogawa, S Saito, S Suzuki, ... Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 155 | 2019 |
| Cupy: A numpy-compatible library for nvidia gpu calculations R Nishino, SHC Loomis 31st confernce on neural information processing systems 151 (7), 2017 | 96 | 2017 |
| Machine learning device, robot system, and machine learning method for learning workpiece picking operation T Yamazaki, T Oyama, S Suyama, K Nakayama, H Kumiya, H Nakagawa, ... US Patent 10,717,196, 2020 | 72 | 2020 |
| Machine learning method and machine learning device for learning fault conditions, and fault prediction device and fault prediction system including the machine learning device S Inagaki, H Nakagawa, D Okanohara, R Okuta, E Matsumoto, K Kawaai US Patent 10,317,853, 2019 | 49 | 2019 |
| Machine learning device, robot controller, robot system, and machine learning method for learning action pattern of human T Tsuda, D Okanohara, R Okuta, E Matsumoto, K Kawaai US Patent App. 15/222,947, 2017 | 27 | 2017 |
| Machine learning method and machine learning device for learning fault conditions, and fault prediction device and fault prediction system including the machine learning device S Inagaki, H Nakagawa, D Okanohara, R Okuta, E Matsumoto, K Kawaai US Patent 11,275,345, 2022 | 26 | 2022 |
| 3-D magnetic-near-field scanner for IC chip-level noise coupling measurements S Muroga, K Arai, S Dhungana, R Okuta, Y Endo, M Yamaguchi IEEE transactions on magnetics 49 (7), 3886-3889, 2013 | 14 | 2013 |
| Machine learning device, robot controller, robot system, and machine learning method for learning action pattern of human T Tsuda, D Okanohara, R Okuta, E Matsumoto, K Kawaai US Patent 10,807,235, 2020 | 13 | 2020 |
| Information processing device and information processing method S Tokui, Y Unno, O Kenta, R Okuta US Patent 11,521,070, 2022 | 10 | 2022 |
| Learning device unit D Okanohara, R Okuta, E Matsumoto, K Kawaai US Patent 11,475,289, 2022 | 10 | 2022 |
| Proceedings of Workshop on Machine Learning Systems (LearningSys) in The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS) R Okuta, Y Unno, D Nishino, S Hido, C Loomis Curran Associates Inc, New York, 2017 | 10 | 2017 |
| Toward onboard control system for mobile robots via deep reinforcement learning M Miyashita, S Maruyama, Y Fujita, M Kusumoto, T Pfeiffer, E Matsumoto, ... Deep RL Workshop at Neurips, 2018 | 4 | 2018 |
| Machine learning device, robot system, and machine learning method for learning object picking operation T Yamazaki, T Oyama, S Suyama, K Nakayama, H Kumiya, H Nakagawa, ... US Patent 11,780,095, 2023 | 3 | 2023 |
| Machine learning method and machine learning device for learning fault conditions, and fault prediction device and fault prediction system including the machine learning device S Inagaki, H Nakagawa, D Okanohara, R Okuta, E Matsumoto, K Kawaai US Patent App. 17/585,477, 2022 | 2 | 2022 |
| MN-Core-A Highly Efficient and Scalable Approach to Deep Learning K Namura, JM Kühn, T Adachi, H Imachi, H Kaneko, T Kato, G Watanabe, ... 2021 Symposium on VLSI Circuits, 1-2, 2021 | 2 | 2021 |
| Information processing device and information processing method S Tokui, Y Unno, O Kenta, R Okuta US Patent App. 16/551,435, 2019 | 2 | 2019 |
| シルエットパズル型ゲームへの参加による実践的プログラミング教育 寺元貴幸， 小保方幸次， 井上泰仁， 出江幸重， 江崎修央， 田添丈博， ... 計算工学講演会論文集= Proceedings of the Conference on Computational …, 2017 | 1 | 2017 |
| ピース敷き詰め型ゲームへの参加による実践的プログラミング教育 寺元貴幸， 井上泰仁， 小保方幸次， 藤田悠， 伊藤祥一， 奥本隼， 若林哲宇， ... 計算工学講演会論文集= Proceedings of the Conference on Computational …, 2016 | 1 | 2016 |
| 文字列に含まれる連の最大指数和の解析~ n= 57 までの厳密値と新たな下界 2.03696 の発見~ 草野一彦， 奥田遼介， 成澤和志， 篠原歩 電子情報通信学会技術研究報告; 信学技報 113 (14), 17-24, 2013 | 1 | 2013 |
