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Ishikawa, Isao

Graduate School of Science Program-Specific Associate Professor

Ishikawa, Isao
list
    Last Updated :2026/09/04

    Basic Information

    Email Address

    • Email Address

      ishikawa.isao.5skyoto-u.ac.jp

    Academic Degree

    • 24 Mar. 2014
      京都大学修士(理学)
    • 23 Mar. 2017
      京都大学博士(理学)

    Academic Resume (Undergraduate School/Majors)

    • 東京工業大学, 理学部数学科, 卒業

    Research History

    • From Apr. 2025, To Present
      Kyoto University, Center for Science Adventure and Collaborative Research Advancement (SACRA), Faculty of Science, Project Specific Associate Professor
    • From Apr. 2022, To Mar. 2025
      Ehime University, Center for Data Science, Associate Professor
    • From Apr. 2020, To Mar. 2022
      Ehime University, Center for Data Science, 特定助教
    • From Apr. 2017, To Mar. 2020
      RIKEN, Center for Advanced Interigence Project, Generic Technology Research Group, Mathematical Science Team, Postdoctoral Researcher

    ID,URL

    researchmap URL

    list
      Last Updated :2026/09/04

      Research

      Research Interests

      • Deep Learning
      • Reproducing kernel Hilbert space
      • number theory
      • Koopman operator
      • composition operator
      • generalized spectrum
      • machine learning
      • dynamical system

      Research Areas

      • Natural sciences, Algebra, number theory
      • Natural sciences, Applied mathematics and statistics, machine learning
      • Natural sciences, Basic analysis, dynamical system
      • Natural sciences, Applied mathematics and statistics, Koopman operator
      • Natural sciences, Basic analysis, composition operator

      Papers

      • Boundedness of Composition Operators in Orlicz–Morrey Spaces
        Masahiro Ikeda; Isao Ishikawa; Ryota Kawasumi
        Mathematische Nachrichten, 26 Aug. 2026, Peer-reviewed
      • Resolvent-Based Singular-Value Diagnostics for Data-Driven Koopman Finite Sections
        Yuanchao Xu; Itsushi Sakata; Isao Ishikawa
        2026
      • Koopman Spectral Analysis for Generative Modeling: An Operator-Theoretic Perspective
        Yuanchao Xu; Fengyi Li; Masahiro Fujisawa; Xiaoyuan Cheng; Youssef Marzouk; Isao Ishikawa
        2026
      • Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines.
        Sho Sonoda; Yuka Hashimoto; Isao Ishikawa; Masahiro Ikeda
        ICML, 2025
      • Dynamic Structure Estimation from Bandit Feedback using Nonvanishing Exponential Sums.
        Motoya Ohnishi; Isao Ishikawa; Yuko Kuroki; Masahiro Ikeda
        Transactions on Machine Learning Research, 2024
      • Reproducing kernel Hilbert C*-module and kernel mean embeddings.
        Yuka Hashimoto; Isao Ishikawa; Masahiro Ikeda; Fuyuta Komura; Takeshi Katsura; Yoshinobu Kawahara
        Journal of Machine Learning Research, 2021
      • Koopman operators with intrinsic observables in rigged reproducing kernel Hilbert spaces
        Isao Ishikawa; Yuka Hashimoto; Masahiro Ikeda; Yoshinobu Kawahara
        Nonlinearity, 27 Nov. 2025, Peer-reviewed, Lead author
      • A data-driven framework for Koopman semigroup estimation in stochastic dynamical systems
        Yuanchao Xu; Kaidi Shao; Isao Ishikawa; Yuka Hashimoto; Nikos Logothetis; Zhongwei Shen
        Chaos: An Interdisciplinary Journal of Nonlinear Science, 01 Oct. 2025, Peer-reviewed
      • A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks
        Sho Sonoda; Isao Ishikawa; Masahiro Ikeda
        Journal of Statistical Planning and Inference, Dec. 2024, Peer-reviewed
      • Dynamic Structure Estimation from Bandit Feedback using Nonvanishing Exponential Sums
        Motoya Ohnishi; Isao Ishikawa; Yuko Kuroki; Masahiro Ikeda
        Transactions on Machine Learning Research, 05 Aug. 2024, Peer-reviewed
      • Koopman Spectrum Nonlinear Regulators and Efficient Online Learning
        Motoya Ohnishi; Isao Ishikawa; Kendall Lowrey; Masahiro Ikeda; Sham Kakade; Yoshinobu Kawahara
        Transactions on Machine Learning Research, 23 Jun. 2024, Peer-reviewed
      • Global Universality of the Two-Layer Neural Network with the k-Rectified Linear Unit
        Naoya Hatano; Masahiro Ikeda; Isao Ishikawa; Yoshihiro Sawano
        Journal of Function Spaces, 18 Jan. 2024, Peer-reviewed
      • Koopman-based generalization bound: New aspect for full-rank weights
        Yuka Hashimoto; Sho Sonoda; Isao Ishikawa; Atsushi Nitanda; Taiji Suzuki
        The Twelfth International Conference on Learning Representations, Jan. 2024, Peer-reviewed
      • Generalized Eigenvalues of the Perron–Frobenius Operators of Symbolic Dynamical Systems
        Hayato Chiba; Masahiro Ikeda; Isao Ishikawa
        SIAM Journal on Applied Dynamical Systems, 12 Oct. 2023, Peer-reviewed
      • Bounded composition operators on functional quasi-Banach spaces and stability of dynamical systems
        Isao Ishikawa
        Advances in Mathematics, 01 Jul. 2023, Peer-reviewed, Lead author
      • Heaviside function as an activation function
        Naoya Hatano; Masahiro Ikeda; Isao Ishikawa; Yoshihiro Sawano
        Journal of Applied Analysis, 01 Jun. 2023, Peer-reviewed
      • Boundedness of composition operators on higher order Besov spaces in one dimension
        Masahiro Ikeda; Isao Ishikawa; Koichi Taniguchi
        Mathematische Annalen, 24 May 2023, Peer-reviewed, Lead author
      • Universal Approximation Property of Invertible Neural Networks.
        Isao Ishikawa; Takeshi Teshima; Koichi Tojo; Kenta Oono; Masahiro Ikeda; Masashi Sugiyama
        Journal of Machine Learning Research, 2023, Peer-reviewed, Lead author
      • Koopman and Perron–Frobenius operators on reproducing kernel Banach spaces
        Masahiro Ikeda; Isao Ishikawa; Corbinian Schlosser
        Chaos: An Interdisciplinary Journal of Nonlinear Science, Dec. 2022, Peer-reviewed
      • Boundedness of composition operators on reproducing kernel Hilbert spaces with analytic positive definite functions
        Masahiro Ikeda; Isao Ishikawa; Yoshihiro Sawano
        Journal of Mathematical Analysis and Applications, 01 Jul. 2022, Peer-reviewed, Lead author
      • Universality of neural networks with a sigmoidal activation or discriminatory function on Banach lattices over the real line
        Naoya Hatano; Masahiro Ikeda; Isao Ishikawa; Yoshihiro Sawano
        Journal of Mathematical Science, 2022, Peer-reviewed
      • Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis.
        Sho Sonoda; Isao Ishikawa; Masahiro Ikeda
        ICML, 2022, Peer-reviewed
      • Reproducing kernel Hilbert C*-module and kernel mean embeddings
        Yuka Hashimoto; Isao Ishikawa; Masahiro Ikeda; Fuyuta Komura; Takeshi Katsura; Yoshinobu Kawahara
        Journal of Machine Learning Research, Nov. 2021, Peer-reviewed
      • Boundedness of composition operators on Morrey spaces and weak Morrey spaces
        Naoya Hatano; Masahiro Ikeda; Isao Ishikawa; Yoshihiro Sawano
        Journal of Inequalities and Applications, 09 Apr. 2021, Peer-reviewed
      • A Global Universality of Two-Layer Neural Networks with ReLU Activations
        Naoya Hatano; Masahiro Ikeda; Isao Ishikawa; Yoshihiro Sawano
        Journal of Function Spaces, 2021, Peer-reviewed
      • Universal Approximation Property of Neural Ordinary Differential Equations
        Takeshi Teshima; Koichi Tojo; Masahiro Ikeda; Isao Ishikawa; Kenta Oono
        Workshop on Differential Geometry meets Deep Learning, 04 Dec. 2020, Peer-reviewed
      • Ridge Regression with Over-Parametrized Two-Layer Networks Converge to Ridgelet Spectrum
        Sho Sonoda; Isao Ishikawa; Masahiro Ikeda
        The 24th International Conference on Artificial Intelligence and Statistics(AISTATS), 07 Jul. 2020, Peer-reviewed
      • Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
        Takeshi Teshima; Isao Ishikawa; Koichi Tojo; Kenta Oono; Masahiro Ikeda; Masashi Sugiyama
        Advances in Neural Information Processing Systems, 20 Jun. 2020, Peer-reviewed, Lead author
      • Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise
        Yuka Hashimoto; Isao Ishikawa; Masahiro Ikeda; Yoichi Matsuo; Yoshinobu Kawahara
        Journal of Machine Learning Research, 2020, Peer-reviewed
      • Gamma factors for the Asai representation of GL2
        Chen, S.-Y.; Cheng, Y.; Ishikawa, I.
        Journal of Number Theory, 2020, Peer-reviewed, Lead author
      • Explicit calculation of local integrals for twisted triple product L-functions
        Ishikawa, I.
        Kyoto Journal of Mathematics, Sep. 2019, Peer-reviewed, Lead author
      • Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators
        Isao Ishikawa; Keisuke Fujii; Masahiro Ikeda; Yuka Hashimoto; Yoshinobu Kawahara
        Advances in Neural Information Processing Systems, 2018, Peer-reviewed, Lead author
      • Integrals on $p$-adic upper half planes and Hida families over totally real fields
        Isao Ishikawa
        Osaka Journal of Mathematics, Oct. 2016, Peer-reviewed, Lead author

      Misc.

      • 核ノルム最小化と行列補完
        石川 勲
        Jul. 2026
      • On the construction of twisted triple product p-adic L-functions for unbalanced weights
        Isao Ishikawa
        May 2026, Lead author
      • Finite-dimensional approximations of push-forwards on locally analytic functionals
        Isao Ishikawa
        16 Apr. 2024
      • Ghosts in Neural Networks: Existence, Structure and Role of Infinite-Dimensional Null Space
        Sho Sonoda; Isao Ishikawa; Masahiro Ikeda
        09 Jun. 2021
      • Kernel Mean Embeddings of Von Neumann-Algebra-Valued Measures
        Yuka Hashimoto; Isao Ishikawa; Masahiro Ikeda; Fuyuta Komura; Yoshinobu Kawahara
        29 Jul. 2020
      • Analysis via Orthonormal Systems in Reproducing Kernel Hilbert $C^*$-Modules and Applications
        Yuka Hashimoto; Isao Ishikawa; Masahiro Ikeda; Fuyuta Komura; Takeshi Katsura; Yoshinobu Kawahara
        02 Mar. 2020
      • Gradient Descent Converges to Ridgelet Spectrum.
        Sho Sonoda; Isao Ishikawa; Masahiro Ikeda
        CoRR, 2020
      • Metric on random dynamical systems with vector-valued reproducing kernel Hilbert spaces
        Isao Ishikawa; Akinori Tanaka; Masahiro Ikeda; Yoshinobu Kawahara
        17 Jun. 2019
      • GL2上のASAI表現に付随するEPSILON因子について
        石川 勲
        数理解析研究所講究録, Jan. 2019
      • The global optimum of shallow neural network is attained by ridgelet transform
        Sho Sonoda; Isao Ishikawa; Masahiro Ikeda; Kei Hagihara; Yoshihiro Sawano; Takuo Matsubara; Noboru Murata
        19 May 2018

      Presentations

      • Dynamical rigidity of maps inducing bounded composition operators
        Isao Ishikawa
        MSJ Autumn Meeting 2026, 03 Sep. 2026, Invited
      • Composition operators on functional quasi-Banach spaces and their applications in data-driven analysis of dynamical systems
        Isao Ishikawa
        Operator theory seminar, 30 Apr. 2026, Sahibzada Waleed Noor
      • Finite-dimensional approximation of push-forwards via jets and data
        Isao Ishikawa
        CAM Colloquium, 17 Apr. 2026, Invited
      • Finite-dimensional approximation of push-forward via jets
        Isao Ishikawa
        Geometric analysis seminar, 07 Apr. 2026, Micah Warren, Invited
      • Finite dimensional-approximation of push-forwards on locally analytic functionals
        Isao Ishikawa
        Academic Forum of the Institute of Science and Technology for Brain-inspired Intelligence, 05 Jan. 2026, Ding Weiyang, Invited
      • 解析汎函数上の押し出し写像の有限次元近似と力学系のデータ駆動解析 への応用について
        石川 勲
        第6回 富山応用数学セミナー, 21 Nov. 2025, Invited
      • p進数を用いた単語埋め込みについて
        三原朋樹; 石川勲; 横井祥
        第28回情報論的学習理論ワークショップ (IBIS2025), 13 Nov. 2025
      • On finite-dimensional approximations of push-forwards on analytic functionals and applications to data-driven analysis of dynamical systems
        Isao Ishikawa
        Geometry, Topology and Numerical Analysis 2025, 08 Nov. 2025, Invited
      • Finite dimensional approximations of push-forwards on analytic functionals and applications to data-driven analysis of dynamical systems
        Isao Ishikawa
        RIMS Workshop on Number Theory, Geometry, Randomness and their development, 29 Oct. 2025, Invited
      • Finite dimensional approximations of push-forwards on analytic functionals
        Isao Ishikawa
        NAXYS Seminar, 21 Oct. 2025, Invited
      • Finite dimensional approximations of push-forwards on analytic functionals
        Isao Ishikawa
        Japan-Italy Workshop on Learning Dynamical Systems, 09 Oct. 2025
      • Data-driven estimation of the Koopman operator in reproducing kernel rigged Hilbert spaces and its applications
        Isao Ishikawa
        2025 RIMS symposium: 13th Mathematical aspects of quantum fields and related topics, 26 Jun. 2025, Invited
      • JetEDMD -- Theory and Applications --
        Isao Ishikawa
        RICOS Seminar, 26 May 2025, Invited
      • 局所解析汎函数上の押し出し写像の有限次元近似とその応用
        石川 勲
        関数空間論に基づく深層学習の理論と応用, 28 Mar. 2025
      • 局所解析汎函数上の押し出し写像のデータ駆動的な有限次元近似
        石川 勲
        Koopman Operators Meets Data, 11 Mar. 2025, Invited
      • On finite-dimensional approximations of push-forwards on locally analytic functionals
        Isao Ishikawa
        Workshop on Dynamical Systems and Machine Learning, 18 Feb. 2025
      • 解析的な写像から定まる局所解析汎函数上の押し出しの有限次元近似について
        石川 勲
        第4回数理解析若手交流会, 21 Dec. 2024, Invited
      • 解析的な写像から定まる局所解析汎函数上の押し出しの有限次元近似と力学系のデータ駆動解析への応用について
        石川 勲
        京都大学応用数学セミナー, 19 Nov. 2024, Invited
      • 局所解析汎函数上の押し出し写像による力学系のデータ駆動近似について
        石川 勲
        数理・情報系研究集会@愛媛大学, 06 Nov. 2024
      • 局所解析汎函数上の押し出しの有限次元近似について
        石川 勲
        第27回情報論的学習理論ワークショップ, 05 Nov. 2024
      • 同時群同変モデルの表現論的な構成的普遍近似定理
        園田翔; 橋本悠香; 石川勲; 池田正弘
        第27回情報論的学習理論ワークショップ, 05 Nov. 2024
      • 局所解析汎函数上の押し出し写像による力学系のデータ駆動近似について
        石川 勲
        数理・情報研究交流会@沖縄, 31 Oct. 2024
      • 局所解析汎函数上の押し出しの有限次元近似について
        石川 勲
        第112回埼玉大学解析ゼミ, 22 Oct. 2024, Invited
      • 同時群同変モデルの統一的かつ構成的な普遍近似定理
        園田 翔; 橋本 悠香; 石川 勲; 池田 正弘
        日本応用数理学会2024年度年会, 16 Sep. 2024
      • 局所解析汎函数上の押し出しの有限次元近似について
        石川勲
        日本応用数理学会2024年度年会, 15 Sep. 2024
      • Skolem–Mahler–Lech の定理の紹介 〜p進解析の入門を添えて〜
        石川勲
        オートマトン理論 若手の会, 30 Aug. 2024, Invited
      • Koopman operators with intrinsic observables in rigged reproducing kernel Hilbert spaces
        Isao Ishikawa; Yuka Hashimoto; Masahiro Ikeda; Yoshinobu Kawahara
        2024 International Workshop on Function Theory, Operator Theory and Applications, 21 Jun. 2024
      • 局所解析的汎函数上の押し出しの有限次元近似について
        石川勲
        データ解析の数理ワークショップ:力学系・トポロジー・機械学習の協奏, 07 Jun. 2024
      • 力学系から定まる局所解析汎函数上の押し出しの有限次元近似について
        石川 勲
        RIMS 共同研究(公開型)「力学系の理論と応用」, 03 Jun. 2024
      • On finite-dimensional approximations for push-forwards of locally analytic functionals and truncations of least-squares polynomials
        Isao Ishikawa
        Second RIKEN AIP - IIT Joint Workshop on Machine Learning and AI, 20 May 2024
      • Koopman-based generalization bound: New aspect for full-rank weights
        Yuka Hashimoto; Sho Sonota; Isao Ishiakwa; Atsushi Nitanda; Taiji Suzuki
        The Twelfth International Conference on Learning Representations, 10 May 2024
      • データ解析を見据えたKoopman作用素の包括的な理論研究
        石川 勲
        ACT-X 数理情報のフロンティア 第2回成果報告会, 26 Apr. 2024
      • Composition operators on reproducing kernel Hilbert spaces and applications to data analysis
        Isao Ishikawa
        2024 Taiwan Mathematical Society Annual Meeting, 22 Jan. 2024, Invited
      • 重み付き合成作用素の有界性と力学系の安定性について
        石川 勲
        One day workshop on harmonic analysis and PDE, 23 Dec. 2023
      • JetDMD: Rigged再生核Hilbert空間におけるデータ駆動型Koopman固有展開
        石川 勲
        数理・情報系研究集会, 16 Nov. 2023
      • 可逆ニューラルネットワークの表現力について
        石川 勲
        ipi - ダイキン シンポジウム, 24 Oct. 2023, Invited
      • JetDMD: Rigged再生核Hilbert空間におけるデータ駆動型Koopman固有展開
        石川 勲
        数理情報研究交流会, 11 Oct. 2023
      • Banditフィードバックによる力学系の構造推定
        Isao Ishikawa
        情報論的学習理論と機械学習研究会, 03 Mar. 2023
      • Bounded weighted composition operators on functional quasi-Banach spaces and stability of dynamical systems
        Isao Ishikawa
        Research on real, complex and functional analysis from the perspective of function spaces, 28 Oct. 2022
      • Bounded weighted Koopman operators on functional quasi-Banach spaces and stability of dynamical systems
        Isao Ishikawa
        Dartmouth Functional Analysis Seminar, 22 Sep. 2022, Invited
      • Bounded weighted composition operators on functional quasi-Banach spaces and stability of dynamical systems
        Isao Ishikawa
        Development and Applications of Dynamical Systems, 07 Jun. 2022
      • Bounded weighted composition operators on functional quasi-Banach spaces and stability of dynamical systems
        Isao Ishikawa
        数理・情報系研究集会, 07 Jun. 2022
      • 「可逆ニューラルネットワークの表現力について」
        石川勲
        数理情報科学セミナー, 17 Nov. 2021, Invited
      • 可逆ニューラルネットワークの表現力について
        Isao Ishikawa
        数理情報科学セミナー, 17 Nov. 2021
      • Bounded weighted composition operators on functional quasi-Banach spaces and stability of dynamical systems
        Isao Ishikawa
        実解析シンポジウム2021, 30 Oct. 2021
      • Bounded composition operators on functional quasi-Banach spaces and stability of dynamical systems
        Isao Ishikawa
        13 ISAAC Congress, 04 Aug. 2021
      • 球対称な解析的正定値関数に付随するRKHS上のKoopman 作用素の有界性について
        Isao Ishikawa
        若手数学者交流会, 14 Mar. 2021
      • On the Universality of Invertible Neural Networks
        Isao Ishikawa
        Workshop on Functional Inference and Machine Intelligence, 03 Mar. 2021, Invited
      • Metrics on nonlinear dynamical systems via operator-valued reproducing kernel Hilbert spaces
        Isao Ishikawa
        2019 WINTER FESTA Episode 5, 25 Dec. 2019
      • On the boundedness of composition operators on reproducing kernel Hilbert spaces with analytic positive definite functions
        Isao Ishikawa
        Canada Mathematical Society Winter Meeting, 08 Dec. 2019, Invited
      • Metrics for dynamical systems via Perron-Frobenius operators on vector-valued RKHSs
        Isao Ishikawa
        Joint Workshop of BBDC, BZML and RIKEN AIP, 10 Sep. 2019, Invited
      • On the boundedness of composition operators on reproducing kernel Hilbert spaces with analytic positive definite functions
        Isao Ishikawa
        Colloquium & Conference, 21 Aug. 2019, Invited
      • 「解析的な正定値関数から定まる再生核Hilbert空間における合成作用素の有界性について」
        石川勲
        京都力学系セミナー, 05 Aug. 2019, Invited
      • 解析的な正定値関数から定まる再生核Hilbert空間における合成作用素の有界性について
        Isao Ishikawa
        京都力学系セミナー, 05 Aug. 2019
      • On the boundedness of composition operators on reproducing kernel Hilbert spaces with analytic positive definite functions
        Isao Ishikawa
        12 ISAAC Congress, 29 Jul. 2019
      • 「非線形力学系から生成される時系列データの作用素論的側面からの研究」
        石川勲
        愛媛大学代数セミナー, 25 Jun. 2019, Invited
      • 非線形力学系から生成される時系列データの作用素論的側面からの研究
        Isao Ishikawa
        愛媛大学代数セミナー, 25 Jun. 2019
      • On the boundedness of composition operators on reproducing kernel Hilbert spaces with analytic positive definite functions
        Isao Ishikawa
        15 Harmonic analysis seminar, 20 Apr. 2019
      • Metric on nonlinear dynamical systems with Perron-Frobenius operators
        Isao Ishikawa
        Symposium on Machine Learning and Dynamical Systems, 11 Feb. 2019, Invited
      • On comparison of Gamma factors of Asai representations of {\mathrm{GL } }_2
        Isao Ishikawa
        Number Theory Seminar at Waseda University, 11 Jan. 2019
      • An invariant for the comparison of composition operators for reproducing kernel Hilbert spaces
        Isao Ishikawa
        Boston University/Keio University workshop 2018 Dynamical systems, 27 Jun. 2018
      • An invariant for the comparison of composition operators for reproducing kernel Hilbert spaces
        Isao Ishikawa
        13 SIAM East Asian Section Conference, 24 Jun. 2018
      • An invariant for the comparison of composition operators for reproducing kernel Hilbert spaces
        Isao Ishikawa
        Dynamical Systems Interaction of Theory and Application, 05 Jun. 2018
      • On explicit interpolation formulas of twisted triple product p-adic L-functions
        Isao Ishikawa
        Analytic and Arithmetic Theory of Automorphic Forms, 17 Feb. 2018
      • On explicit interpolation formulas of twisted triple product p-adic L-functions
        Isao Ishikawa
        Analytic and Arithmetic Theory of Automorphic Forms, 17 Jan. 2018
      • On the construction of twisted triple product p-adic L-functions
        Isao Ishikawa
        Algebra Seminar, 30 Oct. 2017
      • Explicit computations of local period integrals for constructions of twisted triple product $p$-adic $L$-functions
        Isao Ishikawa
        4 Kyoto conference on automorphic forms, 18 Jun. 2017
      • On the construction of twisted triple product p-adic L-functions
        Isao Ishikawa
        Arithmetic and Modular Form Seminar, 09 Jun. 2017
      • On the construction of twisted triple product p-adic L-functions
        Isao Ishikawa
        Algebra Seminar, 08 Mar. 2017
      • On the construction of twisted triple product p-adic L-functions
        Isao Ishikawa
        The 22 Young Mathematicians Conference on Algebra, 02 Mar. 2017
      • On the construction of twisted triple product p-adic L-functions
        Isao Ishikawa
        The 10 Young Mathematicians Conference on Zeta Functions, 20 Feb. 2017
      • Integrals on p-adic upper half planes and Hida families over totally real fields
        Isao Ishikawa
        The 13 Sendai-Hiroshima Number Theory Conference, 17 Jul. 2014
      • Integrals on p-adic upper half planes and Hida families over totally real fields
        Isao Ishikawa
        Mini-Workshop on Iwasawa theory, 04 Apr. 2014
      • Integrals on p-adic upper half planes and Hida families over totally real fields
        Isao Ishikawa
        The 7th Young Mathematicians Conference on Zeta Functions, 14 Feb. 2014

      Industrial Property Rights

      • 特願2020-035051, 関係性抽出装置及び関係性 抽出方法
      • 特願2019-154065, 異常検知装置、異常検知方法、及びプログラム
        橋本悠香; 石川勲; 池田正弘; 河原吉伸; 松尾洋一

      External funds: Kakenhi

      • Deepening the analysis of deep learning through functional space theory
        Grant-in-Aid for Challenging Research (Pioneering)
        Medium-sized Section 60:Information science, computer engineering, and related fields
        Ehime University
        石川 勲
        From 28 Jun. 2024, To 31 Mar. 2028, Granted
        深層学習;力学系;Koopman作用素;Besov空間;再生核Hilbert空間
      • Bidirectional study of composition operators and dynamical systems
        Grant-in-Aid for Early-Career Scientists
        Basic Section 12020:Mathematical analysis-related
        Ehime University
        石川 勲
        From 01 Apr. 2024, To 31 Mar. 2028, Granted
        合成作用素;再生核Hilbert空間;関数空間;力学系
      • 正定値性を中心とした函数解析と複素解析の総合的研究
        Grant-in-Aid for Scientific Research (C)
        Basic Section 12010:Basic analysis-related
        防衛大学校(総合教育学群、人文社会科学群、応用科学群、電気情報学群及びシステム工学群)
        瀬戸 道生
        From 01 Apr. 2024, To 31 Mar. 2027, Granted
        函数解析;正定値性;補間問題;複素解析
      • Study of Selmer groups of twisted triple products via p-adic geometry
        Grant-in-Aid for Early-Career Scientists
        Basic Section 11010:Algebra-related
        Ehime University;Institute of Physical and Chemical Research
        Isao Ishikawa
        From 01 Apr. 2018, To 31 Mar. 2024, Project Closed
        捻れ三重積p進L関数;保形表現;p進L関数;捻れ3重積;L関数の特殊値;保型表現;岩澤理論;数論幾何学;保型形式
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        Last Updated :2026/09/04

        Education

        Teaching subject(s)

        • From 01 Apr. 2026, To 31 Mar. 2027
          Advanced Analysis I
          4104, Fall, Faculty of Science, 2
        • From 01 Apr. 2026, To 31 Mar. 2027
          Topics in Analysis A
          0174, Fall, Graduate School of Science, 2
        list
          Last Updated :2026/09/04

          Academic, Social Contribution

          Academic Contribution

          • 1st Workshop on Learning Dynamical System
            Planning, management, etc., Panel moderator
            Isao Ishikawa; Yuanchao Xu, Science Seminar House, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, 606-8502, From 19 Mar. 2026, To 21 Mar. 2026
          • 5th Symposium on Machine Learning and Dynamical Systems (MLDS 5) & Differential Equations for Data Science (DEDS 2026)
            Planning, management, etc., Panel moderator
            Boumediene Hamzi; Yuka Hashimoto; Isao Ishikawa; Hiroshi Kokubu; Hirofumi Notsu, Maskawa Hall, Maskawa Building for Education and Research, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, Japan, From 09 Feb. 2026, To 13 Feb. 2026
          • Japan-Italy Workshop on Learning Dynamical Systems
            Planning, management, etc.
            Isao Ishikawa; Vladimir Kostic, Istituto Italiano di Tecnologia, Center for Human Technologies, From 09 Oct. 2025, To 10 Oct. 2025
          • Integrated Research on Besov Spaces and Koopman Operators for Data-Driven Fluid Dynamics Analysis
            Planning, management, etc.
            石川勲; 池田正弘; 谷口晃一, From 12 Jun. 2025, To 13 Jun. 2025
          • 関数空間論に基づく深層学習の理論と応用
            Planning, management, etc.
            石川勲; 池田正弘; 園田翔(理化学研究所); 谷口晃一, From 28 Mar. 2025, To 28 Mar. 2025
          • Workshop on the Mathematics and Data Analysis: Dynamical systems, Topology, and Machine Learning
            Planning, management, etc.
            Isao Ishikawa; Masahiro Ikeda; Koichi Taniguchi, From 06 Jun. 2024, To 07 Jun. 2024
          • 八戸関数空間論セミナー 〜Koopman作用素とその応用〜
            Planning, management, etc.
            石川勲; 池田正弘; 川澄亮太, From 17 Aug. 2023, To 18 Aug. 2023
          • Workshop on mathematical theory for Koopman operators
            Planning, management, etc.
            Isao Ishikawa; Masahiro Ikeda; Koichi Taniguchi, 九州大学 伊都キャンパス ウエスト1号館 C棟 5階 中講義室(W1-C-512), From 24 May 2022, To 24 May 2022

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