Publications & Talks
Algebraic Geometry
- (2022), Minimising CM degree and slope stability of projective varieties, Mathematical Proceedings of the Cambridge Philosophical Society, Volume 172, Issue 1, pp. 125 - 137.
- (2019), Minimizing problems for stability and threefold singularities, Master's thesis, the University of Tokyo. (pdf)
Machine Learning
-, Misato Nakabayashi (2023), A Security Verification Framework of Cryptographic Protocols Using Machine Learning, arXiv preprint.
Sekitoshi Kanai, Shin'ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, -, Yasutoshi Ida (2023), One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training, International Conference on Machine Learning (ICML).
-, Sekitoshi Kanai, Yasutoshi Ida (2023), Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks, Proceedings of the thirty seventh AAAI Conference on Artificial Intelligence (AAAI-23).
-, Atsutoshi Kumagai (2021), Recurrent Neural Networks for Learning Long-term Temporal Dependencies with Reanalysis of Time Scale Representation, IEEE International Conference on Big Knowledge (ICBK-21), Auckland, New Zealand, pp. 182-189.
Ising Machine
-, Tatsuhiko Shirai, Nozomu Togawa (2024), Toward Practical Benchmarks of Ising Machines: A Case Study on the Quadratic Knapsack Problem, arXiv preprint.
Soma Kawakami, -, Dema Ba, Satoshi Yagi, Junji Teramoto, Nozomu Togawa (2024), An Interaction Coefficient Control Method for Setting Initial Solutions to Ising Machines, IEEE International Conference on Consumer Electronics (ICCE), pp. 1-2.
Soma Kawakami, -, Dema Ba, Satoshi Yagi, Junji Teramoto, Nozomu Togawa (2024), Giving a quasi-initial solution to Ising machines by controlling external magnetic field coefficients, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 107(1), 52-62.
-, Nozomu Togawa (2023), Linearizing Binary Optimization Problems Using Variable Posets for Ising Machines, to appear in IEEE Transactions on Emerging Topics in Computing.
Soma Kawakami, -, Dema Ba, Satoshi Yagi, Junji Teramoto, Nozomu Togawa (2023), A Quasi-Initial Solution Giving Method for Ising Machines by Controlling External Magnetic Field Coefficients, IEEE International Conference on Consumer Electronics (ICCE), pp. 1-6.
Domestic Conference (Japanese)
-, 戸川望 (2024), イジングマシンにおけるペナルティの導入による精度低下現象の分析, 第11回量子ソフトウェア研究発表会.
佐藤慎太郎, - (2024), イジングモデル縮小技術, 第2回量子アニーリング及び関連技術研究会.
川上蒼馬, -, 巴徳瑪, 八木哲志, 寺本純司, 戸川望 (2023), 相互作用の調整によるイジングマシンへの初期解擬似導入手法, 第204回システムとLSIの設計技術研究発表会 (デザインガイア).
-, 戸川望 (2023), 変数の順序付けによる二値最適化の線形化, 第8回量子ソフトウェア研究発表会.
川上蒼馬, 巴徳瑪, -, 八木哲志, 寺本純司, 戸川望 (2022), 外部磁場の調整によるイジングマシンへの初期解擬似導入手法, 第200回システムとLSIの設計技術研究発表会 (デザインガイア).
金井関利, 山口真弥, 山田真徳, 高橋大志, -, 井田安俊 (2022), 1対他損失切り替えによる敵対的学習の頑健性向上, 第25回情報論的学習理論ワークショップ (IBIS).
-, 中林美郷 (2022), 機械学習を用いた暗号プロトコルの安全性検証フレームワーク, 暗号と情報セキュリティシンポジウム (SCIS).
Talks
2024
Mar. 28 - 29, イジングマシンにおけるペナルティの導入による精度低下現象の分析 (Japanese), 第11回量子ソフトウェア研究発表会, Nagoya University, Japan.
2023
Mar. 13 - 14, 変数の順序付けによる二値最適化の線形化 (Japanese), 第8回量子ソフトウェア研究発表会, Keio University, Japan.
2022
Sep. 4 - 8, イジングモデルのための計算機環境と応用 (Japanese), 2022年度 統計関連学会連合大会, Seikei University, Japan.
2021
Dec. 7 - 8, Recurrent Neural Networks for Learning Long-term Temporal Dependencies with Reanalysis of Time Scale Representation, 12th IEEE International Conference on Big Knowledge (ICBK-2021), online.
2019
Jan. 28, Minimizing CM degree and slope stability of projective varieties (Japanese), Seminar on Geometric Complex Analysis, the University of Tokyo, Japan.
2018
Dec. 5 - 6, Minimizing CM degree and slope stability of projective varieties, London-Tokyo Workshop in Birational Geometry II, Imperial College London, UK.
Dec. 3 - 4, Minimizing CM degree and slope stability of projective varieties, Cambridge--Tokyo Algebraic Geometry workshop II, University of Cambridge, UK.
Jul. 28 - Aug. 1, Lecture on Li-Xu's work: Normalized Volume and K-stability of Kollar's Component, Tambara Algebraic Geometry Summer School 2018, Tambara Institute, Japan.