Miyatake Yuto 宮武勇登

Researcher Number	60757384
Other IDs
Affiliation (Current)	2025: 大阪大学, D3センター, 准教授
Affiliation (based on the past Project Information) *help	2018 – 2024: 大阪大学, サイバーメディアセンター, 准教授 2016 – 2017: 名古屋大学, 工学研究科, 助教
Review Section/Research Field	Principal Investigator Basic Section 60100:Computational science-related / Medium-sized Section 60:Information science, computer engineering, and related fields / Computational science Except Principal Investigator Basic Section 12040:Applied mathematics and statistics-related / Sections That Are Subject to Joint Review: Basic Section12030:Basic mathematics-related , Basic Section12040:Applied mathematics and statistics-related / Basic Section 12030:Basic mathematics-related / Medium-sized Section 60:Information science, computer engineering, and related fields / Mathematical Sciences in Search of New Cooperation
Keywords	Principal Investigator 数値解析 / 微分方程式 / 数値線形代数 / 偏微分方程式 / データ同化 / 量子系偏微分方程式 / 共役勾配法 / 定常反復法 / 二次計画問題 / 数値解法 / 常微分方程式 / 行列計算 … More Except Principal Investigator … More 深層学習 / 数値解析 / 数値解析学的アプローチ / 積型ニューラルネットワーク / 二重指数関数型積分公式 / 二重指数型積分公式 / 二重指数関数型数値積分公式 / 二重指数関数型数値積分公式（DE公式） / 行列関数 / ニューラルネットワーク / 数値解析的アプローチ / 関数近似 / 数値積分 / 微分方程式 / 物性 / 数理工学 / 数値計算 / 電子状態計算 / シミュレーション / 構造保存解法 / 有機エレクトロニクス / 量子ダイナミクス / 計算科学 Less

Analysis and creation of numerical analysis algorithms using product-type neural network deep learning
- Principal Investigator
  
  降籏大介
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 12040:Applied mathematics and statistics-related
  Basic Section 12030:Basic mathematics-related
  Sections That Are Subject to Joint Review: Basic Section12030:Basic mathematics-related , Basic Section12040:Applied mathematics and statistics-related
- Research Institution
  Osaka University
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Principal Investigator
- Principal Investigator
  
  宮武勇登
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60100:Computational science-related
- Research Institution
  Osaka University
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Principal Investigator
- Principal Investigator
  
  宮武勇登
- Project Period (FY)
  2021 – 2025
- Research Category
  
  Grant-in-Aid for Challenging Research (Pioneering)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  Osaka University
Creation of a foundation for a numerical approach to deep learning
- Principal Investigator
  
  Furihata Daisuke
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 12040:Applied mathematics and statistics-related
- Research Institution
  Osaka University
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
- Principal Investigator
  
  曽我部知広
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  Nagoya University
Innovative design of electronics material based on identifying and preserving mathematical structures
- Principal Investigator
  
  Matsuo Takayasu
- Project Period (FY)
  2016 – 2018
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Mathematical Sciences in Search of New Cooperation
- Research Institution
  The University of Tokyo
Parallel Structure-Preserving Algorithms: Theory and Numerical VerificationPrincipal Investigator
- Principal Investigator
  
  Miyatake Yuto
- Project Period (FY)
  2016 – 2020
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Computational science
- Research Institution
  Osaka University
  Nagoya University

All 2024 2023 2022 2021 2020 2019 2018 2017 2016

All Journal Article Presentation

[Journal Article] Lyapunov-stable deep equilibrium models2024
- Author(s)
  H. Chu, S. Wei, T. Liu, Y. Zhao, Y. Miyatake
- Journal Title
  
  The 38th Annual AAAI Conference on Artificial Intelligence
  
  Volume: 38 Pages: 11615-11623
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K18301
[Journal Article] Lyapunov-Stable Deep Equilibrium Models2024
- Author(s)
  Haoyu Chu and Shikui Wei and Ting Liu and Yao Zhao and Yuto Miyatake
- Journal Title
  
  Proceedings of the AAAI Conference on Artificial Intelligence
  
  Volume: 38 Issue: 10 Pages: 11615-11623
- DOI
  10.1609/aaai.v38i10.29044
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H01822
[Journal Article] Lyapunov-stable deep equilibrium models2024
- Author(s)
  H. Chu, S. Wei, T. Liu, Y. Zhao, Y. Miyatake
- Journal Title
  
  The 38th Annual AAAI Conference on Artificial Intelligence
  
  Volume: 1 Pages: 11615-11623
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H00581
[Journal Article] Modelling the discretization error of initial value problems using the Wishart distribution2024
- Author(s)
  Marumo Naoki、Matsuda Takeru、Miyatake Yuto
- Journal Title
  
  Applied Mathematics Letters
  
  Volume: 147 Pages: 108833-108833
- DOI
  10.1016/j.aml.2023.108833
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K18301, KAKENHI-PROJECT-22K17865, KAKENHI-PROJECT-19K20220, KAKENHI-PROJECT-20H00581, KAKENHI-PROJECT-20H01822
[Journal Article] The Symplectic Adjoint Method: Memory-Efficient Backpropagation of Neural-Network-Based Differential Equations2023
- Author(s)
  Matsubara Takashi、Miyatake Yuto、Yaguchi Takaharu
- Journal Title
  
  IEEE Transactions on Neural Networks and Learning Systems
  
  Volume: TBD Issue: 8 Pages: 1-13
- DOI
  10.1109/tnnls.2023.3242345
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20344, KAKENHI-PROJECT-20H01822
[Journal Article] A modified model for topic detection from a corpus and a new metric evaluating the understandability of topics2023
- Author(s)
  Kitano Tomoya、Miyatake Yuto、Furihata Daisuke
- Journal Title
  
  JSIAM Letters
  
  Volume: 15 Issue: 0 Pages: 121-124
- DOI
  10.14495/jsiaml.15.121
- ISSN
  1883-0609, 1883-0617
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K18301, KAKENHI-PROJECT-23K17655, KAKENHI-PROJECT-20K20883, KAKENHI-PROJECT-20H00581, KAKENHI-PROJECT-20H01822
[Journal Article] High-order linearly implicit schemes conserving quadratic invariants2023
- Author(s)
  Sato Shun、Miyatake Yuto、Butcher John C.
- Journal Title
  
  Applied Numerical Mathematics
  
  Volume: 187 Pages: 71-88
- DOI
  10.1016/j.apnum.2023.02.005
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K18301, KAKENHI-PROJECT-22K13955, KAKENHI-PROJECT-20H00581, KAKENHI-PROJECT-19K23399, KAKENHI-PROJECT-20H01822
[Journal Article] Composing a surrogate observation operator for sequential data assimilation2022
- Author(s)
  Akita Kosuke、Miyatake Yuto、Furihata Daisuke
- Journal Title
  
  JSIAM Letters
  
  Volume: 14 Issue: 0 Pages: 123-126
- DOI
  10.14495/jsiaml.14.123
- ISSN
  1883-0609, 1883-0617
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K18301, KAKENHI-PROJECT-20K20883, KAKENHI-PROJECT-20H00581, KAKENHI-PROJECT-20H01822
[Journal Article] Estimation of ordinary differential equation models with discretization error quantification2021
- Author(s)
  T. Matsuda and Y. Miyatake
- Journal Title
  
  SIAM/ASA Journal on Uncertainty Quantification
  
  Volume: 9 Issue: 1 Pages: 302-331
- DOI
  10.1137/19m1278405
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20220, KAKENHI-PROJECT-16K17550, KAKENHI-PROJECT-20H01822, KAKENHI-PROJECT-20H00581
[Journal Article] Computing the matrix fractional power with the double exponential formula2021
- Author(s)
  Tatsuoka Fuminori、Sogabe Tomohiro、Miyatake Yuto、Kemmochi Tomoya、Zhang Shao-Liang
- Journal Title
  
  ETNA - Electronic Transactions on Numerical Analysis
  
  Volume: 54 Pages: 558-580
- DOI
  10.1553/etna_vol54s558
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K12002, KAKENHI-PROJECT-21K18301, KAKENHI-PROJECT-19K14590, KAKENHI-PROJECT-20H00581, KAKENHI-PROJECT-20H01822
[Journal Article] Symplectic adjoint method for exact gradient of neural ODE with minimal memory2021
- Author(s)
  Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 35
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20H01822
[Journal Article] Adjoint-based exact Hessian computation2021
- Author(s)
  S. Ito, T. Matsuda, and Y. Miyatake
- Journal Title
  
  BIT Numerical Mathematics
  
  Volume: - Issue: 2 Pages: 503-522
- DOI
  10.1007/s10543-020-00833-0
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K14671, KAKENHI-PROJECT-19K20220, KAKENHI-PROJECT-20H00581, KAKENHI-PROJECT-20H01822
[Journal Article] A fully discrete curve-shortening polygonal evolution law for moving boundary problems2021
- Author(s)
  Sakakibara Koya、Miyatake Yuto
- Journal Title
  
  Journal of Computational Physics
  
  Volume: 424 Pages: 109857-109857
- DOI
  10.1016/j.jcp.2020.109857
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K13455, KAKENHI-PROJECT-16K17550, KAKENHI-PROJECT-20H01822
[Journal Article] Generalization of partitioned Runge--Kutta methods for adjoint systems2021
- Author(s)
  T. Matsuda and Y. Miyatake
- Journal Title
  
  Journal of Computational and Applied Mathematics
  
  Volume: 388 Pages: 113308-113308
- DOI
  10.1016/j.cam.2020.113308
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20220, KAKENHI-PROJECT-20H01822, KAKENHI-PROJECT-20H00581
[Journal Article] Symplectic adjoint method for exact gradient of neural ODE with minimal memory2021
- Author(s)
  Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
- Journal Title
  
  Advances in Neural Information Processing Systems 35 (NeurIPS2021)
  
  Volume: 35
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K18301
[Journal Article] A parallelizable energy-preserving integrator MB4 and its application to quantum-mechanical wavepacket dynamics2020
- Author(s)
  Sakai Tsubasa、Kudo Shuhei、Imachi Hiroto、Miyatake Yuto、Hoshi Takeo、Yamamoto Yusaku
- Journal Title
  
  Japan Journal of Industrial and Applied Mathematics
  
  Volume: 38 Issue: 1 Pages: 105-123
- DOI
  10.1007/s13160-020-00430-2
- NAID
  210000183552
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K19966, KAKENHI-PROJECT-19KK0255, KAKENHI-PROJECT-16K17550, KAKENHI-PROJECT-20H01822
[Journal Article] Algorithms for the computation of the matrix logarithm based on the double exponential formula2020
- Author(s)
  Tatsuoka Fuminori、Sogabe Tomohiro、Miyatake Yuto、Zhang Shao-Liang
- Journal Title
  
  Journal of Computational and Applied Mathematics
  
  Volume: 373 Pages: 112396-112396
- DOI
  10.1016/j.cam.2019.112396
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18J22501, KAKENHI-PROJECT-19K12002, KAKENHI-PROJECT-16K17550, KAKENHI-PROJECT-20H00581
[Journal Article] Structure-preserving model reduction for dynamical systems with a first integral2019
- Author(s)
  Miyatake Yuto
- Journal Title
  
  Japan J. Indust. Appl. Math.
  
  Volume: 36 Issue: 3 Pages: 1021-1037
- DOI
  10.1007/s13160-019-00378-y
- NAID
  210000186688
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K17550
[Journal Article] Relation between the T-congruence Sylvester equation and the generalized Sylvester equation2019
- Author(s)
  Y. Satake, M. Oozawa, T. Sogabe, Y. Miyatake, T. Kemmochi, S.-L. Zhang
- Journal Title
  
  Applied Mathematics Letters
  
  Volume: 96 Pages: 7-13
- DOI
  10.1016/j.aml.2019.04.007
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K12002, KAKENHI-PROJECT-16K17550, KAKENHI-PROJECT-19K14590, KAKENHI-PROJECT-20K20397
[Journal Article] Modified Strang splitting for semilinear parabolic problems2019
- Author(s)
  K. Nakano, T. Kemmochi, Y. Miyatake, T. Sogabe, S.-L. Zhang
- Journal Title
  
  JSIAM Letters
  
  Volume: 11 Issue: 0 Pages: 77-80
- DOI
  10.14495/jsiaml.11.77
- NAID
  130007771371
- ISSN
  1883-0609, 1883-0617
- Language
  English
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K12002, KAKENHI-PROJECT-16K17550, KAKENHI-PROJECT-19K14590
[Journal Article] A structure-preserving Fourier pseudo-spectral linearly implicit scheme for the space-fractional nonlinear Schr?dinger equation2019
- Author(s)
  Y. Miyatake, T. Nakagawa, T. Sogabe, S.-L. Zhang
- Journal Title
  
  Journal of Computational Dynamics
  
  Volume: 6 Issue: 2 Pages: 361-383
- DOI
  10.3934/jcd.2019018
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K12002, KAKENHI-PROJECT-16K17550, KAKENHI-PROJECT-20K20397
[Journal Article] Adaptive SOR methods based on the Wolfe conditions2019
- Author(s)
  Y. Miyatake, T. Sogabe, S.-L. Zhang
- Journal Title
  
  Numerical Algorithms
  
  Volume: 84 Issue: 1 Pages: 117-132
- DOI
  10.1007/s11075-019-00748-0
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K12002, KAKENHI-PROJECT-20K20397, KAKENHI-PROJECT-16K17550
[Journal Article] Solution of the k -th eigenvalue problem in large-scale electronic structure calculations2018
- Author(s)
  Lee Dongjin、Hoshi Takeo、Sogabe Tomohiro、Miyatake Yuto、Zhang Shao-Liang
- Journal Title
  
  Journal of Computational Physics
  
  Volume: 371 Pages: 618-632
- DOI
  10.1016/j.jcp.2018.06.002
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K17550, KAKENHI-PROJECT-17H02828, KAKENHI-PROJECT-16KT0016
[Journal Article] A Note on Computing the Matrix Fractional Power Using the Double Exponential Formula2018
- Author(s)
  立岡文理、曽我部知広、宮武勇登、張紹良
- Journal Title
  
  Transactions of the Japan Society for Industrial and Applied Mathematics
  
  Volume: 28 Issue: 3 Pages: 142-161
- DOI
  10.11540/jsiamt.28.3_142
- NAID
  130007487583
- ISSN
  2424-0982
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K17550, KAKENHI-PROJECT-18J22501
[Journal Article] On a relationship between the T-congruence Sylvester equation and the Lyapunov equation2018
- Author(s)
  Oozawa Masaya、Sogabe Tomohiro、Miyatake Yuto、Zhang Shao-Liang
- Journal Title
  
  Journal of Computational and Applied Mathematics
  
  Volume: 329 Pages: 51-56
- DOI
  10.1016/j.cam.2017.05.044
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16KT0016, KAKENHI-PROJECT-16K17550
[Journal Article] Continuous Stage Runge-Kutta Methods and Their Structure-Preservation Properties2018
- Author(s)
  宮武勇登
- Journal Title
  
  Bulletin of the Japan Society for Industrial and Applied Mathematics
  
  Volume: 28 Issue: 3 Pages: 15-22
- DOI
  10.11540/bjsiam.28.3_15
- NAID
  130007552790
- ISSN
  2432-1982
- Year and Date
  2018-09-26
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K17550
[Journal Article] On the equivalence between SOR-type methods for linear systems and the discrete gradient methods for gradient systems2018
- Author(s)
  Miyatake Yuto、Sogabe Tomohiro、Zhang Shao-Liang
- Journal Title
  
  Journal of Computational and Applied Mathematics
  
  Volume: 342 Pages: 58-69
- DOI
  10.1016/j.cam.2018.04.013
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K17550
[Journal Article] The Discrete Gradient Method for Differential Equations Can Be a Generator of Linear Solvers2017
- Author(s)
  宮武勇登、曽我部知広、張紹良
- Journal Title
  
  Transactions of the Japan Society for Industrial and Applied Mathematics
  
  Volume: 27 Issue: 3 Pages: 239-249
- DOI
  10.11540/jsiamt.27.3_239
- NAID
  130006100066
- ISSN
  2424-0982
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16KT0016, KAKENHI-PROJECT-16K17550
[Journal Article] Energy-preserving H1-Galerkin schemes for the Hunter-Saxton equation2017
- Author(s)
  Y. Miyatake, G. Eom, T. Sogabe, S.-L. Zhang
- Journal Title
  
  J. Math. Res. Appl.
  
  Volume: 37 Pages: 107-118
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-16K17550
[Journal Article] Geometric numerical integrators for Hunter-Saxton-like equations2017
- Author(s)
  Miyatake Yuto、Cohen David、Furihata Daisuke、Matsuo Takayasu
- Journal Title
  
  Japan Journal of Industrial and Applied Mathematics
  
  Volume: 34 Issue: 2 Pages: 441-472
- DOI
  10.1007/s13160-017-0252-1
- NAID
  210000160223
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16KT0016, KAKENHI-PROJECT-17K18736, KAKENHI-PROJECT-16K17550, KAKENHI-PROJECT-25287030
[Journal Article] A characterization of energy-preserving methods and the construction of parallel integrators for Hamiltonian systems2016
- Author(s)
  Y. Miyatake, J. C. Butcher
- Journal Title
  
  SIAM J. Numer. Anal.
  
  Volume: 54 Issue: 3 Pages: 1993-2013
- DOI
  10.1137/15m1020861
- NAID
  120005905587
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Adjoint-based exact Hessian computation2024
- Author(s)
  Yuto Miyatake
- Organizer
  Workshop on Functional Inference and Machine Intelligence
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H01822
[Presentation] Adjoint-based exact Hessian computation2023
- Author(s)
  Y. Miyatake
- Organizer
  Workshop on Functional Inference and Machine Intelligence
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00581
[Presentation] A family of fourth-order energy-preserving integrators2023
- Author(s)
  Y. Miyatake
- Organizer
  ANODE
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H01822
[Presentation] Structure-preserving numerical methods for gradient flows of planar closed curves2023
- Author(s)
  Tomoya Kemmochi, Yuto Miyatake, Koya Sakakibara
- Organizer
  International Congress on Industrial and Applied Mathematics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H01822
[Presentation] A family of fourth-order energy-preserving integrators2023
- Author(s)
  Y. Miyatake
- Organizer
  Auckland Numerical Ordinary Differential Equations
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K18301
[Presentation] A family of fourth-order energy-preserving integrators2023
- Author(s)
  Y. Miyatake
- Organizer
  ANODE
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00581
[Presentation] 平面曲線に関する汎函数最小化問題に深層強化学習を適用するための報酬設計の検討2023
- Author(s)
  岩瀨慈恩, 宮武勇登, 降籏大介
- Organizer
  第49回数値解析シンポジウム
- Data Source
  KAKENHI-PROJECT-20H01822
[Presentation] Adjoint-based exact Hessian computation2023
- Author(s)
  Y. Miyatake
- Organizer
  Workshop on Functional Inference and Machine Intelligence
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H01822
[Presentation] A Particle Dynamics Model for Coarsening Process of Cahn-Hilliard Equation2022
- Author(s)
  Tomoaki Miyatake, Yuto Miyatake, Daisuke Furihata
- Organizer
  WCCM-APCOM YOKOHAMA 2022 (15th World Congress on Computation Mecchanics & 8th Asian Pacific Congress on Computation Mechanics)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H01822
[Presentation] 微分方程式の離散化に関する不確実性定量化の近年の動向2022
- Author(s)
  宮武勇登, 松田孟留
- Organizer
  RIMS研究集会：常微分方程式の定性的理論とその現象解析への応用
- Invited
- Data Source
  KAKENHI-PROJECT-20H00581
[Presentation] 微分方程式の数値解析とデータサイエンス2022
- Author(s)
  宮武勇登
- Organizer
  IBIS 2022 チュートリアル
- Invited
- Data Source
  KAKENHI-PROJECT-20H00581
[Presentation] Quantifying uncertaintiesin the numerical integration of ODEs2022
- Author(s)
  宮武勇登
- Organizer
  RIMS研究集会：ランダム力学系・非自励力学系研究の展望：理論と応用
- Invited
- Data Source
  KAKENHI-PROJECT-21K18301
[Presentation] Quantifying the error in the numerical integration of ODEs based on isotonic regression2022
- Author(s)
  T. Matsuda, Y. Miyatake
- Organizer
  WCCM-APCOM 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H01822
[Presentation] 離散化に由来する不確実性定量化の近年の動向2022
- Author(s)
  宮武勇登, 松田孟留
- Organizer
  RIMS研究集会：数値解析が拓く次世代情報社会～エッジから富岳まで～
- Invited
- Data Source
  KAKENHI-PROJECT-21K18301
[Presentation] 微分方程式の離散化に関する不確実性定量化の近年の動向2022
- Author(s)
  宮武勇登, 松田孟留
- Organizer
  RIMS研究集会：常微分方程式の定性的理論とその現象解析への応用
- Invited
- Data Source
  KAKENHI-PROJECT-21K18301
[Presentation] Quantifying uncertaintiesin the numerical integration of ODEs2022
- Author(s)
  宮武勇登
- Organizer
  RIMS研究集会：ランダム力学系・非自励力学系研究の展望：理論と応用
- Invited
- Data Source
  KAKENHI-PROJECT-20H00581
[Presentation] A family of fourth-order energy-preserving integrators2022
- Author(s)
  Y. Miyatake
- Organizer
  ICNAAM 2022
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00581
[Presentation] 離散化に由来する不確実性定量化の近年の動向2022
- Author(s)
  宮武勇登, 松田孟留
- Organizer
  RIMS研究集会：数値解析が拓く次世代情報社会～エッジから富岳まで～
- Invited
- Data Source
  KAKENHI-PROJECT-20H00581
[Presentation] A family of fourth-order energy-preserving integrators2022
- Author(s)
  Y. Miyatake
- Organizer
  ICNAAM 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H01822
[Presentation] Piecewise monotone estimation in one-parameter exponential families2022
- Author(s)
  T. Matsuda, Y. Miyatake
- Organizer
  EcoSta 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H01822
[Presentation] A family of fourth-order energy-preserving integrators2022
- Author(s)
  Y. Miyatake
- Organizer
  ICNAAM 2022
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K18301
[Presentation] Generalized nearly isotonic regression and its applications to discretization error quantification of ODEs2022
- Author(s)
  Y. Miyatake
- Organizer
  JSPS Alumni Seminar Topics in computational methods for stochastic and deterministic differential equations
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00581
[Presentation] Generalized nearly isotonic regression and its applications to discretization error quantification of ODEs2022
- Author(s)
  Y. Miyatake
- Organizer
  JSPS Alumni Seminar Topics in computational methods for stochastic and deterministic differential equations
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H01822
[Presentation] 微分方程式の数値解析とデータサイエンス2022
- Author(s)
  宮武勇登
- Organizer
  IBIS2022
- Invited
- Data Source
  KAKENHI-PROJECT-21K18301
[Presentation] Generalized nearly isotonic regression and its applications to discretization error quantification of ODEs2022
- Author(s)
  Y. Miyatake
- Organizer
  JSPS Alumni Seminar Topics in computational methods for stochastic and deterministic differential equations
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K18301
[Presentation] 非負制約付き2次計画問題に対する適応型射影SOR法2021
- Author(s)
  宮武勇登, 曽我部知広
- Organizer
  日本応用数理学会2021年度年会
- Data Source
  KAKENHI-PROJECT-20H01822
[Presentation] 非負制約付き2次計画問題に対する適応型射影SOR法2021
- Author(s)
  宮武勇登, 曽我部知広
- Organizer
  日本応用数理学会2021年度年会
- Data Source
  KAKENHI-PROJECT-20H00581
[Presentation] Symplectic adjoint method for exact gradient of neural ODE with minimal memory2021
- Author(s)
  T. Matsubara, Y. Miyatake, T. Yaguchi
- Organizer
  Advances in Neural Information Processing Systems 35 (NeurIPS2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H01822
[Presentation] Computing the matrix fractional power based on the double exponential formula2021
- Author(s)
  F. Tatsuoka, T. Sogabe, Y. Miyatake, T. Kemmochi, S.-L. Zhang_
- Organizer
  SIAM Conference on Applied Linear Algebra
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00581
[Presentation] 非負制約付き2次計画問題に対する適応型射影SOR法2021
- Author(s)
  宮武勇登, 曽我部知広
- Organizer
  日本応用数理学会2021年度年会
- Data Source
  KAKENHI-PROJECT-21K18301
[Presentation] 一般化近単調回帰と常微分方程式の数値計算の誤差推定2021
- Author(s)
  松田孟留, 宮武勇登
- Organizer
  日本応用数理学会2021年度年会,
- Data Source
  KAKENHI-PROJECT-21K18301
[Presentation] 一般化近単調回帰と常微分方程式の数値計算の誤差推定2021
- Author(s)
  松田孟留, 宮武勇登
- Organizer
  日本応用数理学会2021年度年会
- Data Source
  KAKENHI-PROJECT-20H00581
[Presentation] 一般化近単調回帰と常微分方程式の数値計算の誤差推定2021
- Author(s)
  松田孟留, 宮武勇登
- Organizer
  日本応用数理学会2021年度年会
- Data Source
  KAKENHI-PROJECT-20H01822
[Presentation] Adjoint-based algorithm for computing the exact Hessian-vector multiplication2020
- Author(s)
  Y. Miyatake
- Organizer
  ANZIAM2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Second-order adjoint方程式に基づくヘッセ行列の計算について2020
- Author(s)
  伊藤伸一, 松田孟留, 宮武勇登
- Organizer
  日本応用数理学会2020年度年会
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Adjoint-based computation of the exact Hessian-vector multiplication2020
- Author(s)
  S. Ito, T. Matsuda, Y. Miyatake
- Organizer
  ICNAAM 2020
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00581
[Presentation] Second-order adjoint方程式に基づくヘッセ行列の計算について2020
- Author(s)
  伊藤伸一, 松田孟留, 宮武勇登
- Organizer
  日本応用数理学会2020年度年会
- Data Source
  KAKENHI-PROJECT-20H00581
[Presentation] Adjoint-based computation of the exact Hessian-vector multiplication2020
- Author(s)
  Shin-ichi Ito, Takeru Matsuda, Yuto Miyatake
- Organizer
  ICNAAM 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H01822
[Presentation] Second-order adjoint方程式に基づくヘッセ行列の計算について2020
- Author(s)
  伊藤伸一, 松田孟留, 宮武勇登
- Organizer
  日本応用数理学会2020年度年会
- Data Source
  KAKENHI-PROJECT-20H01822
[Presentation] Adjoint-based computation of the exact Hessian-vector multiplication2020
- Author(s)
  S. Ito, T. Matsuda, Y. Miyatake
- Organizer
  Adjoint-based computation of the exact Hessian-vector multiplication
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Estimation of ODE models with quantifying discretization error2019
- Author(s)
  T. Matsuda, Y. Miyatake
- Organizer
  SciCADE2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Reducing the effect of discretization errors in estimating ODE models by iteratively reweighted least squares2019
- Author(s)
  T. Matsuda, Y. Miyatake
- Organizer
  ANZIAM 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Estimating ODE models by iteratively reweighted least squares2019
- Author(s)
  Takeru Matsuda・Yuto Miyatake
- Organizer
  A3 Workshop on fluid dynamics and related topics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] On an interval truncation method of the double exponential formula for the matrix logarithm2019
- Author(s)
  F. Tatsuoka, T. Sogabe, Y. Miyatake, S.-L. Zhang
- Organizer
  SIAM: East Asian Section Conference 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Reducing the effect of discretization errors in estimating ODE models by iteratively reweighted least squares2019
- Author(s)
  Takeru Matsuda・Yuto Miyatake
- Organizer
  ANZIAM 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] Quantifying discretisation errors by isotonic regression and its application to estimating ODE models2019
- Author(s)
  T. Matsuda, Y. Miyatake
- Organizer
  Geometric Numerical Integration of Differential Equations
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Quantifying and reducing forward uncertainty in estimating parameters of initial value problems2019
- Author(s)
  T. Matsuda, Y. Miyatake
- Organizer
  SIAM: East Asian Section Conference 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Estimating ODE models by iteratively reweighted least squares2019
- Author(s)
  T. Matsuda, Y. Miyatake
- Organizer
  A3 Workshop on fluid dynamics and related topics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] On the equivalence between SOR-type methods for linear systems and Itoh-Abe-type discrete gradient methods for gradient systems2019
- Author(s)
  Y. Miyatake, T. Sogabe, S.-L. Zhang
- Organizer
  SciCADE2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Application of an Energy-preserving Integrator to Quantum-mechanical Wavepacket Dynamics2018
- Author(s)
  Yusaku Yamamoto・Tsubasa Sakai・Shuhei Kudo・Hiroto Imachi・Yuto Miyatake・Takeo Hoshi
- Organizer
  13th SIAM East Asian Section Conference 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] ウルフ条件を利用した適応型SOR法2018
- Author(s)
  宮武勇登, 曽我部知広, 張紹良
- Organizer
  第47回数値解析シンポジウム
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] 常微分方程式の初期値推定における離散化誤差に由来するバイアスの軽減に向けて2018
- Author(s)
  松田孟留・宮武勇登
- Organizer
  RIMS共同研究（公開型）「次世代の科学技術を支える数値解析学の基盤整備と応用展開」
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] エネルギー保存型並列解法MB4に基づく2次元量子ダイナミクス計算2018
- Author(s)
  酒井翼・藤周平・井町宏人・宮武勇登・星健夫・山本有作
- Organizer
  第47回数値解析シンポジウム
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] 保存量を持つ常微分方程式に対するモデル縮減について2018
- Author(s)
  宮武勇登
- Organizer
  常微分方程式の数値解法とその周辺2018
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] Toward Modern Scientific Computations Based on Structure-Preserving Methods2018
- Author(s)
  T. Matsuo and Y. Miyatake
- Organizer
  SIAM PP 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] ウルフ条件を利用した適応型SOR法2018
- Author(s)
  宮武勇登・曽我部知広・張紹良
- Organizer
  第47回数値解析シンポジウム
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] SOR法の緩和パラメータの幾何学的解釈2018
- Author(s)
  宮武勇登, 曽我部知広, 張紹良
- Organizer
  日本応用数理学会第14回研究部会連合発表会
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Energy-preserving model reduction for Poisson systems2018
- Author(s)
  Yuto Miyatake
- Organizer
  13th SIAM East Asian Section Conference 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] Finite difference schemes preserving multiple invariants for evolutionary partial differential equations2018
- Author(s)
  D. I. McLaren, Y. Miyatake, G. R. W. Quispel
- Organizer
  SciCADE2017
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] Structure-preserving model reduction for initial value problems with a first integral2018
- Author(s)
  Y. Miyatake
- Organizer
  CJK2018 Joint Conference on Numerical Mathematics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] 保存量を持つ常微分方程式に対するモデル縮減について2018
- Author(s)
  宮武勇登
- Organizer
  常微分方程式の数値解法とその周辺2018
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] On the equivalence between the SOR-type methods and the Itoh_Abe discrete gradient methods2018
- Author(s)
  Y. Miyatake, T. Sogabe, S.-L. Zhang
- Organizer
  EASIAM2017
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] Energy-preserving model reduction for Poisson systems2018
- Author(s)
  Y. Miyatake
- Organizer
  SIAM: East Asian Section Conference 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Structure-preserving continuous stage Runge-Kutta methods2018
- Author(s)
  Y. Miyatake
- Organizer
  A3 Workshop on Fluid Dynamics and Material Science
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] 常微分方程式の初期値推定における離散化誤差に由来するバイアスの軽減に向けて2018
- Author(s)
  松田孟留, 宮武勇登
- Organizer
  RIMS研究集会：次世代の科学技術を支える数値解析学の基盤整備と応用展開
- Invited
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Structure-preserving model reduction for initial value problems with a first integral2018
- Author(s)
  Yuto Miyatake
- Organizer
  CJK2018 Joint Conference on Numerical Mathematics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] Iterative solvers based on the discrete gradient method for symmetric positive definite linear systems2017
- Author(s)
  Y. Miyatake, T. Sogabe, S.-L. Zhang
- Organizer
  19h International Conference on Finite Elements in Flow Problems - FEF 2017
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] SOR法の緩和パラメータの幾何学的解釈2017
- Author(s)
  宮武勇登, 曽我部知広, 張紹良
- Organizer
  日本応用数理学会第14回研究部会連合発表会
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] Structure-preserving continuous stage Runge-Kutta methods2017
- Author(s)
  Y. Miyatake
- Organizer
  A3 Workshop on Fluid Dynamics and Material Science
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Finite difference schemes preserving multiple invariants for evolutionary partial differential equations2017
- Author(s)
  D.I. McLaren, Y. Miyatake, G.R.W. Quispel
- Organizer
  SciCADE2017
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] On the equivalence between the SOR-type methods and the Itoh-Abe discrete gradient methods2017
- Author(s)
  Y. Miyatake, T. Sogabe, S.-L. Zhang
- Organizer
  SIAM: East Asian Section Conference 2017
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Iterative solvers based on the discrete gradient method for symmetric positive definite linear systems2017
- Author(s)
  Y. Miyatake, T. Sogabe, S.-L. Zhang
- Organizer
  19h International Conference on Finite Elements in Flow Problems - FEF 2017
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] 発展方程式に対して複数の保存量を再現する差分スキームの導出2017
- Author(s)
  宮武勇登
- Organizer
  流体方程式の構造と特異性に迫る数値解析・数値計算 II
- Place of Presentation
  名古屋（名古屋大学）
- Year and Date
  2017-01-30
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] 波動方程式に対するモデル縮減手法を組み込んだ確率的数値解法について2017
- Author(s)
  宮武勇登
- Organizer
  日本応用数理学会2017年度年会
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] 発展方程式に対する構造保存数値解法の考え方について2017
- Author(s)
  宮武勇登
- Organizer
  ダイナミクス研究会中野
- Invited
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] Dirichlet 境界条件下の偏微分方程式に対する splitting 解法の収束性劣化の改善案2017
- Author(s)
  中野航輔, 宮武勇登, 曽我部知広, 張紹良
- Organizer
  第46回数値解析シンポジウム
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] 波動方程式に対するモデル縮減手法を組み込んだ確率的数値解法について2017
- Author(s)
  宮武勇登
- Organizer
  日本応用数理学会2017年度年会
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] 数理構造保存型解法の計算物質科学への展開2016
- Author(s)
  工藤周平, 井町宏人, 宮武勇登, 山本有作, 星健夫
- Organizer
  第２回CDMSI（ポスト「京」重点課題（７））シンポジウム　～次世代の産業を支える新機能デバイス・高性能材料の創成～
- Place of Presentation
  東京大学（千葉県柏市）
- Year and Date
  2016-12-06
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] An energy-preserving H1-Galerkin scheme for the Hunter-Saxton equation2016
- Author(s)
  Y. Miyatake
- Organizer
  SIAM: East Asian Section Conference 2016
- Place of Presentation
  Macau
- Year and Date
  2016-06-20
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] 発展方程式に対する複数の保存量を再現する差分スキーム2016
- Author(s)
  D. I. McLaren, 宮武勇登, G. R. W. Quispel
- Organizer
  応用数学合同研究集会
- Place of Presentation
  瀬田（龍谷大学）
- Year and Date
  2016-12-15
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Structure-preserving Galerkin methods based on variational structure2016
- Author(s)
  Y. Miyatake
- Organizer
  IMI-La Trobe Joint Conference ''Geometric Numerical Integration and its Applications''
- Place of Presentation
  Melbourne
- Year and Date
  2016-12-05
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] Structure-preserving Galerkin methods based on variational structure2016
- Author(s)
  Y. Miyatake
- Organizer
  Geometric Numerical Integration and Its Applications
- Place of Presentation
  オーストラリア・ビクトリア州
- Year and Date
  2016-12-05
- Invited
- Data Source
  KAKENHI-PROJECT-16KT0016
[Presentation] 勾配系の数値計算に基づく線形方程式の数値解法の生成について2016
- Author(s)
  宮武勇登, 曽我部知広, 張紹良
- Organizer
  RIMS研究集会：現象解明に向けた数値解析学の新展開 II
- Place of Presentation
  京都（京都大学）
- Year and Date
  2016-10-19
- Data Source
  KAKENHI-PROJECT-16K17550
[Presentation] KdV方程式に対する複数の保存量を再現する差分スキーム2016
- Author(s)
  D. I. McLaren, 宮武勇登, G. R. W. Quispel
- Organizer
  日本応用数理学会2016年度年会
- Place of Presentation
  北九州
- Year and Date
  2016-09-12
- Data Source
  KAKENHI-PROJECT-16K17550

1. Matsuo Takayasu (90293670)

# of Collaborated Projects: 3 results

# of Collaborated Products: 2 results
2. 田中健一郎 (70610640)

# of Collaborated Projects: 3 results

# of Collaborated Products: 0 results
3. Furihata Daisuke (80242014)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
4. 星健夫 (80272384)

# of Collaborated Projects: 2 results

# of Collaborated Products: 3 results
5. 佐藤峻 (40849072)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
6. 曽我部知広 (30420368)

# of Collaborated Projects: 2 results

# of Collaborated Products: 3 results
7. 山本有作 (20362288)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
8. 多田朋史 (40376512)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 荻田武史 (00339615)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 野中千穂 (10432238)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
11. 臼田毅 (80273308)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
12. 加納将行 (10739056)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
13. 伊藤伸一 (10756331)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
14. 松田孟留 (50808475)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results
15. 降旗大介

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results
16. 張紹良

# of Collaborated Projects: 0 results

# of Collaborated Products: 4 results
17. 松原崇

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
18. 榊原航也

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Miyatake Yuto 宮武 勇登

Research Projects

Research Products

Co-Researchers

Analysis and creation of numerical analysis algorithms using product-type neural network deep learning

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

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Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

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Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Creation of a foundation for a numerical approach to deep learning

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

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

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Innovative design of electronics material based on identifying and preserving mathematical structures

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Parallel Structure-Preserving Algorithms: Theory and Numerical VerificationPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Lyapunov-stable deep equilibrium models2024

Author(s)

Journal Title

Data Source

[Journal Article] Lyapunov-Stable Deep Equilibrium Models2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Lyapunov-stable deep equilibrium models2024

Author(s)

Journal Title

Data Source

[Journal Article] Modelling the discretization error of initial value problems using the Wishart distribution2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] The Symplectic Adjoint Method: Memory-Efficient Backpropagation of Neural-Network-Based Differential Equations2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A modified model for topic detection from a corpus and a new metric evaluating the understandability of topics2023

Author(s)

Journal Title

DOI

ISSN

Language

Data Source

[Journal Article] High-order linearly implicit schemes conserving quadratic invariants2023

Author(s)

Journal Title

DOI

Miyatake Yuto 宮武勇登

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Principal Investigator