| What is stablecoin?: A survey on price stabilization mechanisms for decentralized payment systems M Mita, K Ito, S Ohsawa, H Tanaka 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI …, 2019 | 139* | 2019 |
| Like prediction: modeling like counts by bridging facebook pages with linked data S Ohsawa, Y Matsuo Proceedings of the 22nd International Conference on World Wide Web, 541-548, 2013 | 17* | 2013 |
| Gated probabilistic matrix factorization: learning users' attention from missing values S Ohsawa, Y Obara, T Osogami Proceedings of the Twenty-Fifth International Joint Conference on Artificial …, 2016 | 11 | 2016 |
| Management of snapshot in blockchain H Horii, K Kamijoh, K Kawachiya, S Ohsawa, H Takeuchi US Patent 10,896,166, 2021 | 9 | 2021 |
| Neuron as an Agent S Ohsawa, K Akuzawa, T Matsushima, G Bezerra, Y Iwasawa, H Kajino, ... | 6 | 2018 |
| Efficient determination of optimized learning settings of neural networks S Ohsawa US Patent 10,628,734, 2020 | 4 | 2020 |
| Music modeling Y Obara, S Ohsawa, T Osogami US Patent 9,934,771, 2018 | 4 | 2018 |
| Continuous control of attention for a deep learning network S Ohsawa, T Osogami US Patent 11,188,035, 2021 | 3 | 2021 |
| Dual space learning with variational autoencoders H Okamoto, M Suzuki, I Higuchi, S Ohsawa, Y Matsuo | 3* | 2019 |
| RDF packages: a scheme for efficient reasoning and querying over large-scale RDF data S Ohsawa, T Amagasa, H Kitagawa Proceedings of the 12th International Conference on Information Integration …, 2010 | 3 | 2010 |
| Information Diffusion Enhanced by Multi-Task Peer Prediction K Ito, S Ohsawa, H Tanaka Proceedings of the 20th International Conference on Information Integration …, 2018 | 2 | 2018 |
| 人材の転職履歴情報を素性としたベンチャ企業の Exit 予測 上野山勝也， 大澤昇平， 松尾豊 情報処理学会論文誌 55 (10), 2309-2317, 2014 | 2 | 2014 |
| 深層学習を用いたユザ離脱予測 宮崎邦洋， 村山菜月， 山本裕樹， 牛山史明， 大澤昇平， 松尾豊 人工知能学会全国大会論文集 第 32 回 (2018), 1E203-1E203, 2018 | 1 | 2018 |
| Language as Kernels S Ohsawa | | 2023 |
| Truthful Self-Play S Ohsawa ICLR2023, 2023 | | 2023 |
| Reducing computational costs of deep reinforcement learning by gated convolutional neural network S Ohsawa, T Osogami US Patent 10,671,891, 2020 | | 2020 |
| Generative Integration Networks S Ohsawa International Conference on Learning Representations, 2019 | | 2019 |
| 著者に聞く AI 救国論 大澤昇平， 中西史也 Voice, 238-241, 2019 | | 2019 |
| AI 救国論 大澤昇平 (No Title), 2019 | | 2019 |
| 時系列生成モデルのためのリサンプリング学習 金子貴輝， 大澤昇平， 松尾豊 人工知能学会全国大会論文集 第 32 回 (2018), 3Pin114-3Pin114, 2018 | | 2018 |
Kensuke ITOThe University of Tokyo在 g.ecc.u-tokyo.ac.jp 的电子邮件经过验证
