Miyatake Yuto

ミヤタケユウト | Miyatake Yuto

Affiliation and department：
Job title： Associate Professor
Homepage URL (1)： https://yutomiyatake.github.io/

Research field (4)： Computational science , Mathematical informatics , Applied mathematics and statistics , Basic mathematics

Research keywords (10)：不確実性定量化 , データ同化 , 数理モデル , 数値計算 , 数値線形代数 , 微分方程式 , 最適化 , 数理工学 , Applied Mathematics , Numerical Analysis

Research theme for competitive and other funds (14)：

2024 - 2028 Analysis and creation of numerical analysis algorithms using product-type neural network deep learning
2024 - 2028 データ同化の信頼性向上に向けた時間逆向き数値計算法の確立と地震学への応用展開
2021 - 2026 数値代数解析学の開拓ー量子系偏微分方程式の数値解法の新展開ー
2020 - 2025 物理学・情報科学に共通する大規模行列関数の総合的数値計算法の創成
2021 - 2025 発展方程式の数値計算に対する不確実性定量化理論の創出

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Papers (45)：

Haoyu Chu, Shikui Wei, Ting Liu, Yao Zhao, Yuto Miyatake. Lyapunov-Stable Deep Equilibrium Models. Proceedings of the AAAI Conference on Artificial Intelligence. 2024. 38. 10. 11615-11623
Yuto Miyatake. A new family of fourth-order energy-preserving integrators. Numerical Algorithms. 2024
Naoki Marumo, Takeru Matsuda, Yuto Miyatake. Modelling the discretization error of initial value problems using the Wishart distribution. Applied Mathematics Letters. 2024. 147
Kitano Tomoya, Miyatake Yuto, Furihata Daisuke. A modified model for topic detection from a corpus and a new metric evaluating the understandability of topics. JSIAM Letters. 2023. 15. 121-124
Shun Sato, Yuto Miyatake, John C. Butcher. High-order linearly implicit schemes conserving quadratic invariants. APPLIED NUMERICAL MATHEMATICS. 2023. 187. 71-88

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MISC (3)：

Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi. Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. 2021
宮武勇登. 長時間積分用のエネルギー保存解法 (現象解明に向けた数値解析学の新展開). 数理解析研究所講究録. 2016. 1995. 48-56
Kimiaki Kinugasa, Yuto Miyatake, Takayasu Matsuo. Structure-preserving integrators for the Benjamin-type equations. 2015

Lectures and oral presentations (46)：

Quantifying the discretization error in the numerical integration of evolution equations via Bayesian isotonic regression
(ICNAAM 2024 2024)
Quantifying the discretization error in the numerical integration of evolution equations via Bayesian isotonic regression
(Finland-Japan Workshop in Industrial and Applied Mathematics 2024)
Quantifying the discretization error in the numerical integration of evolution equations via Bayesian isotonic regression
(Workshop on Structure-preserving numerical methods and their applications 2024)
Splitting algorithms for total variation imaging via SAV approach
(SciCADE 2024 2024)
Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression
(ProbNum 24 2024)

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Education (3)：

2012 - 2015 東京大学大学院情報理工学系研究科数理情報学専攻博士課程
2010 - 2012 東京大学大学院情報理工学系研究科数理情報学専攻修士課程
2006 - 2010 The University of Tokyo The Faculty of Engineering Department of Mathematical Engineering and Information Physics

Professional career (1)：

Work history (4)：

2024/10 - 現在 Osaka University D3 Center Associate Professor
2018/04 - 2024/09 Osaka University Cybermedia Center
2017/04 - 2018/03 Nagoya University Graduate School of Engineering, Applied Physics
2015/04 - 2017/03 Nagoya University Graduate School of Engineering, Computational Science and Engineering

Committee career (4)：

Awards (4)：

2017/03 - 日本数学会日本数学会 2016年度応用数学研究奨励賞
2015/06 - 日本応用数理学会若手優秀講演賞ハミルトン系に対する並列的なエネルギー保存解法
2013/09 - SciCADE 2013 (New Zealand Branch of Australia and New Zealand Industrial and Applied Mathematics) John Butcher Prize
2013/06 - East Asia Section of SIAM Student Paper Prize

Association Membership(s) (3)：

THE MATHEMATICAL SOCIETY OF JAPAN , THE JAPAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS , Society for Industrial and Applied Mathematics

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