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OHKUBO Jun
Mathematics, Electronics and Informatics DivisionProfessor
Department of Information and Computer Sciences

Researcher information

■ Degree
  • Mar. 2007
■ Research Keyword
  • Complex networks
  • Stochastic process
■ Field Of Study
  • Informatics, Soft computing
  • Natural sciences, Bio-, chemical, and soft-matter physics
  • Natural sciences, Mathematical physics and basic theory
  • Informatics, Information theory
■ Career
  • Apr. 2022 - Present, Saitama University, Graduate School of Science and Engineering, Professor
  • Oct. 2018 - Mar. 2022
  • May 2015 - Mar. 2022, Saitama University, Graduate School of Science and Engineering, Associate Professor
  • May 2010 - Apr. 2015, Kyoto University, Graduate School of Informatics, Lecturer
  • Apr. 2007 - Apr. 2010, The university of Tokyo, The Institute for Solid State Physics, Research Associate
■ Educational Background
  • Apr. 2005 - Mar. 2007, Tohoku University, Graduate School of Information Sciences, (Ph.D. course) Dept. of System Information Sciences, Japan
  • Apr. 2004 - Mar. 2005, Tohoku University, Graduate School of Information Sciences, (Master course) Dept. of Computer and Mathematical Sciences, Japan
  • Apr. 2000 - Mar. 2004, Tohoku University, College of Sciences, Dept. of Chemistry, Japan
■ Award
  • 2017, 計測自動制御学会 2017年度産業応用部門賞 奨励賞

Performance information

■ Paper
  • Koopman Analysis of Combinatorial Optimization Problems with Replica Exchange Monte Carlo Method
    Tatsuya Naoi; Tatsuya Kishimoto; Jun Ohkubo
    Journal of the Physical Society of Japan, Volume:94, Number:2, First page:024801-1, Last page:024801-8, Feb. 2025, [Reviewed], [Last, Corresponding]
    Physical Society of Japan, English, Scientific journal
    DOI:https://doi.org/10.7566/jpsj.94.024801
    DOI ID:10.7566/jpsj.94.024801, ISSN:0031-9015, eISSN:1347-4073, 共同研究・競争的資金等ID:36619934
  • Aspects of Importance Sampling in Parameter Selection for Neural Networks Using Ridgelet Transform
    Hikaru Homma; Jun Ohkubo
    Journal of the Physical Society of Japan, Volume:93, Number:12, First page:124001-1, Last page:124001-6, Dec. 2024, [Reviewed], [Last, Corresponding]
    Physical Society of Japan, English, Scientific journal
    DOI:https://doi.org/10.7566/jpsj.93.124001
    DOI ID:10.7566/jpsj.93.124001, ISSN:0031-9015, eISSN:1347-4073, 共同研究・競争的資金等ID:35825151
  • Compression of the Koopman matrix for nonlinear physical models via hierarchical clustering
    Tomoya Nishikata; Jun Ohkubo
    Nonlinear Theory and Its Applications, IEICE, Volume:15, Number:4, First page:938, Last page:953, Oct. 2024, [Reviewed], [Last, Corresponding]
    Institute of Electronics, Information and Communications Engineers (IEICE), English, Scientific journal
    DOI:https://doi.org/10.1587/nolta.15.938
    DOI ID:10.1587/nolta.15.938, eISSN:2185-4106, 共同研究・競争的資金等ID:36619934
  • Attention-enhanced reservoir computing
    Felix Köster; Kazutaka Kanno; Jun Ohkubo; Atsushi Uchida
    Physical Review Applied, Volume:22, Number:1, First page:014039-1, Last page:014039-12, Jul. 2024, [Reviewed]
    American Physical Society (APS), English, Scientific journal
    DOI:https://doi.org/10.1103/physrevapplied.22.014039
    DOI ID:10.1103/physrevapplied.22.014039, eISSN:2331-7019, 共同研究・競争的資金等ID:43806931
  • Improvement of System Identification of Stochastic Systems via Koopman Generator and Locally Weighted Expectation
    Yuki Tahara; Kakutaro Fukushi; Shunta Takahashi; Kayo Kinjo; Jun Ohkubo
    Journal of the Physical Society of Japan, Volume:93, Number:7, First page:073401-1, Last page:073401-9, Jul. 2024, [Reviewed], [Last, Corresponding]
    Physical Society of Japan, English, Scientific journal
    DOI:https://doi.org/10.7566/jpsj.93.074006
    DOI ID:10.7566/jpsj.93.074006, ISSN:0031-9015, eISSN:1347-4073, 共同研究・競争的資金等ID:43806931
  • Extraction of nonlinearity in neural networks with Koopman operator
    Naoki Sugishita; Kayo Kinjo; Jun Ohkubo
    Journal of Statistical Mechanics: Theory and Experiment, Volume:2024, Number:7, First page:073401-1, Last page:073401-22, Jul. 2024, [Reviewed], [Last, Corresponding]
    IOP Publishing, English, Scientific journal
    DOI:https://doi.org/10.1088/1742-5468/ad5713
    DOI ID:10.1088/1742-5468/ad5713, eISSN:1742-5468, 共同研究・競争的資金等ID:36619934
  • Characterization of Locality in Spin States and Forced Moves for Optimizations
    Yoshiki Sato; Makiko Konoshima; Hirotaka Tamura; Jun Ohkubo
    Journal of the Physical Society of Japan, Volume:93, Number:4, First page:044802-1, Last page:044802-7, Apr. 2024, [Reviewed], [Last, Corresponding]
    Physical Society of Japan, English, Scientific journal
    DOI:https://doi.org/10.7566/jpsj.93.044802
    DOI ID:10.7566/jpsj.93.044802, ISSN:0031-9015, eISSN:1347-4073
  • Redundant basis interpretation of Doi-Peliti method and an application               
    Shunta Takahashi; Jun Ohkubo
    J. Stat. Phys., Volume:190, Number:10, First page:159-1, Last page:159-18, Oct. 2023, [Reviewed], [Last, Corresponding]
    English, Scientific journal
    DOI:https://doi.org/10.1007/s10955-023-03180-w
    DOI ID:10.1007/s10955-023-03180-w, 共同研究・競争的資金等ID:36619934
  • Embedding stochastic differential equations into neural networks via dual processes
    Naoki Sugishita; Jun Ohkubo
    Journal of Statistical Mechanics: Theory and Experiment, Volume:2023, Number:9, First page:093201-1, Last page:093201-15, Sep. 2023, [Reviewed], [Last, Corresponding]
    Abstract

    We propose a new approach to constructing a neural network for predicting expectations of stochastic differential equations. The proposed method does not need data sets of inputs and outputs; instead, the information obtained from the time-evolution equations, i.e. the corresponding dual process, is directly compared with the weights in the neural network. As a demonstration, we construct neural networks for the Ornstein–Uhlenbeck process and the noisy van der Pol system. The remarkable feature of learned networks with the proposed method is the accuracy of inputs near the origin. Hence, it would be possible to avoid the overfitting problem because the learned network does not depend on training data sets.
    IOP Publishing, English, Scientific journal
    DOI:https://doi.org/10.1088/1742-5468/acf126
    DOI ID:10.1088/1742-5468/acf126, eISSN:1742-5468, 共同研究・競争的資金等ID:35825151
  • Statistics for Stochastic Differential Equations and Approximations of Resolvent
    Jun Ohkubo
    Journal of the Physical Society of Japan, Volume:92, Number:7, First page:074006-1, Last page:074006-10, Jul. 2023, [Reviewed], [Lead, Corresponding]
    Physical Society of Japan, English, Scientific journal
    DOI:https://doi.org/10.7566/jpsj.92.074006
    DOI ID:10.7566/jpsj.92.074006, ISSN:0031-9015, eISSN:1347-4073, 共同研究・競争的資金等ID:36619934
  • Efficient Correlation-based Discretization of Continuous Variables for Annealing Machines
    Yuki Furue; Makiko Konoshima; Hirotaka Tamura; Jun Ohkubo
    Journal of the Physical Society of Japan, Volume:92, Number:4, First page:044802-1, Last page:044802-7, Apr. 2023, [Reviewed], [Last, Corresponding]
    Physical Society of Japan, English, Scientific journal
    DOI:https://doi.org/10.7566/jpsj.92.044802
    DOI ID:10.7566/jpsj.92.044802, ISSN:0031-9015, eISSN:1347-4073
  • Numerical methods to evaluate Koopman matrix from system equations
    Jun Ohkubo
    Journal of Physics A: Mathematical and Theoretical, Volume:55, Number:22, First page:224007-1, Last page:224007-20, May 2022, [Reviewed], [Lead, Corresponding]
    Abstract

    The Koopman operator is beneficial for analyzing nonlinear and stochastic dynamics; it is linear but infinite-dimensional, and it governs the evolution of observables. The extended dynamic mode decomposition (EDMD) is one of the famous methods in the Koopman operator approach. The EDMD employs a data set of snapshot pairs and a specific dictionary to evaluate an approximation for the Koopman operator, i.e., the Koopman matrix. In this study, we focus on stochastic differential equations, and a method to obtain the Koopman matrix is proposed. The proposed method does not need any data set, which employs the original system equations to evaluate some of the targeted elements of the Koopman matrix. The proposed method comprises combinatorics, an approximation of the resolvent, and extrapolations. Comparisons with the EDMD are performed for a noisy van der Pol system. The proposed method yields reasonable results even in cases wherein the EDMD exhibits a slow convergence behavior.
    IOP Publishing, English, Scientific journal
    DOI:https://doi.org/10.1088/1751-8121/ac663b
    DOI ID:10.1088/1751-8121/ac663b, ISSN:1751-8113, eISSN:1751-8121, 共同研究・競争的資金等ID:35825151;24613319
  • Connection among Stochastic Hamilton–Jacobi–Bellman Equation, Path-Integral, and Koopman Operator on Nonlinear Stochastic Optimal Control
    Jun Ohkubo
    Journal of the Physical Society of Japan, Volume:90, Number:10, First page:104802, Last page:104802, Oct. 2021, [Reviewed], [Lead, Corresponding]
    Physical Society of Japan, Scientific journal
    DOI:https://doi.org/10.7566/jpsj.90.104802
    DOI ID:10.7566/jpsj.90.104802, ISSN:0031-9015, eISSN:1347-4073
  • Semi-Supervised Learning Combining Backpropagation and STDP: STDP Enhances Learning by Backpropagation with a Small Amount of Labeled Data in a Spiking Neural Network
    Kotaro Furuya; Jun Ohkubo
    Journal of the Physical Society of Japan, Volume:90, Number:7, First page:074802, Last page:074802, Jul. 2021, [Reviewed], [Last]
    Physical Society of Japan, Scientific journal
    DOI:https://doi.org/10.7566/jpsj.90.074802
    DOI ID:10.7566/jpsj.90.074802, ISSN:0031-9015, eISSN:1347-4073
  • Water storage and drainage in perlite in container cultivation
    Yuka Hasama; Yoshiaki Saito; Jun Ohkubo
    SICE Journal of Control, Measurement, and System Integration, Volume:14, Number:2, First page:104, Last page:110, Jun. 2021, [Reviewed], [Last]
    Informa UK Limited, Scientific journal
    DOI:https://doi.org/10.1080/18824889.2021.1896642
    DOI ID:10.1080/18824889.2021.1896642, ISSN:1882-4889, eISSN:1884-9970
  • Combinatorics for calculating expectation values of functions in systems with evolution governed by stochastic differential equations
    Jun Ohkubo
    Journal of Statistical Mechanics: Theory and Experiment, Volume:2021, Number:1, First page:013401, Last page:013401, Jan. 2021, [Reviewed], [Lead, Corresponding]
    IOP Publishing, English, Scientific journal
    DOI:https://doi.org/10.1088/1742-5468/abd029
    DOI ID:10.1088/1742-5468/abd029, eISSN:1742-5468, 共同研究・競争的資金等ID:24613319
  • Making Birth–Death Processes from Backward Fokker–Planck Equations for Computing Expectations in Langevin Systems               
    Jun Ohkubo
    J. Phys. Soc. Jpn., Volume:89, Number:4, First page:044004-1, Last page:044004-6, Apr. 2020, [Reviewed], [Lead, Corresponding]
    English, Scientific journal
    共同研究・競争的資金等ID:24613319
  • Derivation of QUBO Formulations for Sparse Estimation               
    Tomohiro Yokota; Makiko Konoshima; Hirotaka Tamura; Jun Ohkubo
    J. Phys. Soc. Jpn., Volume:89, Number:3, First page:034801-1, Last page:034801-5, Mar. 2020, [Reviewed], [Last, Corresponding]
    English, Scientific journal
  • Duality in stochastic processes from the viewpoint of basis expansions               
    Jun Ohkubo; Yuuki Arai
    Volume:2019, First page:063202-1, Last page:063202-13, Jun. 2019, [Reviewed], [Lead, Corresponding]
    English, Scientific journal
    DOI:https://doi.org/10.1088/1742-5468/ab1dd9
    DOI ID:10.1088/1742-5468/ab1dd9
  • Quadratic unconstrained binary optimization formulation for rectified-linear-unit-type functions               
    Go Sato; Makiko Konoshima; Takuya Ohwa; Hirotaka Tamura; Jun Ohkubo
    Phys. Rev. E, Volume:99, Number:4, First page:042106-1, Last page:042106-5, Apr. 2019, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1103/PhysRevE.99.042106
    DOI ID:10.1103/PhysRevE.99.042106
  • On dualities for SSEP and ASEP with open boundary conditions               
    J. Ohkubo
    JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, Volume:50, Number:9, First page:095004-1, Last page:095004-21, Mar. 2017, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1088/1751-8121/aa56f8
    DOI ID:10.1088/1751-8121/aa56f8, ISSN:1751-8113, eISSN:1751-8121, Web of Science ID:WOS:000395504300003
  • Duality-based calculations for transition probabilities in stochastic chemical reactions               
    Jun Ohkubo
    PHYSICAL REVIEW E, Volume:95, Number:2, First page:023304-1, Last page:023304-7, Feb. 2017, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1103/PhysRevE.95.023304
    DOI ID:10.1103/PhysRevE.95.023304, ISSN:2470-0045, eISSN:2470-0053, Web of Science ID:WOS:000402251400004
  • Nonlinear Kalman filter based on duality relations between continuous and discrete-state stochastic processes               
    Jun Ohkubo
    PHYSICAL REVIEW E, Volume:92, Number:4, First page:043302-1, Last page:043302-9, Oct. 2015, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1103/PhysRevE.92.043302
    DOI ID:10.1103/PhysRevE.92.043302, ISSN:2470-0045, eISSN:2470-0053, Web of Science ID:WOS:000362445700015
  • Karlin-McGregor-like formula in a simple time-inhomogeneous birth-death process               
    Jun Ohkubo
    JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, Volume:47, Number:40, First page:405001-1, Last page:405001-11, Oct. 2014, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1088/1751-8113/47/40/405001
    DOI ID:10.1088/1751-8113/47/40/405001, ISSN:1751-8113, eISSN:1751-8121, Web of Science ID:WOS:000343240400003
  • Lie Algebraic Discussions for Time-Inhomogeneous Linear Birth-Death Processes with Immigration               
    Jun Ohkubo
    JOURNAL OF STATISTICAL PHYSICS, Volume:157, Number:2, First page:380, Last page:391, Oct. 2014, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1007/s10955-014-1068-x
    DOI ID:10.1007/s10955-014-1068-x, ISSN:0022-4715, eISSN:1572-9613, Web of Science ID:WOS:000341710800010
  • Basics of Counting Statistics               
    Jun Ohkubo
    IEICE TRANSACTIONS ON COMMUNICATIONS, Volume:E96B, Number:11, First page:2733, Last page:2740, Nov. 2013, [Reviewed], [Invited]
    English, Scientific journal
    DOI:https://doi.org/10.1587/transcom.E96.B.2733
    DOI ID:10.1587/transcom.E96.B.2733, ISSN:0916-8516, eISSN:1745-1345, CiNii Articles ID:130003385116, Web of Science ID:WOS:000327168100004
  • Extended duality relations between birth-death processes and partial differential equations               
    Jun Ohkubo
    JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, Volume:46, Number:37, First page:375004-1, Last page:375004-11, Sep. 2013, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1088/1751-8113/46/37/375004
    DOI ID:10.1088/1751-8113/46/37/375004, ISSN:1751-8113, Web of Science ID:WOS:000324071400005
  • Algebraic Probability, Classical Stochastic Processes, and Counting Statistics               
    Jun Ohkubo
    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, Volume:82, Number:8, First page:084001-1, Last page:084001-7, Aug. 2013, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.7566/JPSJ.82.084001
    DOI ID:10.7566/JPSJ.82.084001, ISSN:0031-9015, Web of Science ID:WOS:000322374300017
  • Noncyclic geometric phase in counting statistics and its role as an excess contribution               
    Jun Ohkubo
    Journal of Physics A: Mathematical and Theoretical, Volume:46, Number:28, First page:285001-1, Last page:285001-12, Jul. 2013, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1088/1751-8113/46/28/285001
    DOI ID:10.1088/1751-8113/46/28/285001, ISSN:1751-8113, J-Global ID:201302225888380171, CiNii Articles ID:120005307059, SCOPUS ID:84879896789
  • One-parameter extension of the Doi-Peliti formalism and its relation with orthogonal polynomials               
    Jun Ohkubo
    PHYSICAL REVIEW E, Volume:86, Number:4, First page:042102-1, Last page:042102-4, Oct. 2012, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1103/PhysRevE.86.042102
    DOI ID:10.1103/PhysRevE.86.042102, ISSN:1539-3755, CiNii Articles ID:120004945140, PubMed ID:23214630, Web of Science ID:WOS:000310196800003
  • Counting statistics for genetic switches based on effective interaction approximation               
    Jun Ohkubo
    JOURNAL OF CHEMICAL PHYSICS, Volume:137, Number:12, First page:125102-1, Last page:125102-6, Sep. 2012, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1063/1.4754537
    DOI ID:10.1063/1.4754537, ISSN:0021-9606, CiNii Articles ID:120004873983, PubMed ID:23020350, Web of Science ID:WOS:000309428500034
  • Nonparametric model reconstruction for stochastic differential equations from discretely observed time-series data               
    Jun Ohkubo
    PHYSICAL REVIEW E, Volume:84, Number:6, First page:066702-1, Last page:066702-9, Dec. 2011, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1103/PhysRevE.84.066702
    DOI ID:10.1103/PhysRevE.84.066702, ISSN:1539-3755, CiNii Articles ID:120003779166, PubMed ID:22304215, Web of Science ID:WOS:000298139000008
  • Approximation scheme based on effective interactions for stochastic gene regulation               
    Jun Ohkubo
    PHYSICAL REVIEW E, Volume:83, Number:4, First page:041915-1, Last page:041915-9, Apr. 2011, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1103/PhysRevE.83.041915
    DOI ID:10.1103/PhysRevE.83.041915, ISSN:1539-3755, CiNii Articles ID:120003338851, PubMed ID:21599208, Web of Science ID:WOS:000290116100008
  • Long-tail behavior in locomotion of Caenorhabditis elegans               
    Jun Ohkubo; Kazushi Yoshida; Yuichi Iino; Naoki Masuda
    JOURNAL OF THEORETICAL BIOLOGY, Volume:267, Number:2, First page:213, Last page:222, Nov. 2010, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1016/j.jtbi.2010.08.020
    DOI ID:10.1016/j.jtbi.2010.08.020, ISSN:0022-5193, eISSN:1095-8541, Web of Science ID:WOS:000283334100009
  • Noncyclic and nonadiabatic geometric phase for counting statistics               
    Jun Ohkubo; Thomas Eggel
    JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, Volume:43, Number:42, First page:425001-1, Last page:425001-11, Oct. 2010, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1088/1751-8113/43/42/425001
    DOI ID:10.1088/1751-8113/43/42/425001, ISSN:1751-8113, Web of Science ID:WOS:000282518000001
  • A direct numerical method for obtaining the counting statistics for stochastic processes               
    Jun Ohkubo; Thomas Eggel
    JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, Volume:2010, Number:6, First page:P06013-1, Last page:P06013-9, Jun. 2010, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1088/1742-5468/2010/06/P06013
    DOI ID:10.1088/1742-5468/2010/06/P06013, ISSN:1742-5468, Web of Science ID:WOS:000281744100018
  • Duality in Interacting Particle Systems and Boson Representation               
    Jun Ohkubo
    JOURNAL OF STATISTICAL PHYSICS, Volume:139, Number:3, First page:454, Last page:465, May 2010, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1007/s10955-009-9910-2
    DOI ID:10.1007/s10955-009-9910-2, ISSN:0022-4715, Web of Science ID:WOS:000276511500006
  • Two Langevin equations in the Doi-Peliti formalism               
    Kazunori Itakura; Jun Ohkubo; Shin-ichi Sasa
    JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, Volume:43, Number:12, First page:125001-1, Last page:125001-12, Mar. 2010, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1088/1751-8113/43/12/125001
    DOI ID:10.1088/1751-8113/43/12/125001, ISSN:1751-8113, Web of Science ID:WOS:000275302300003
  • Posterior Probability and Fluctuation Theorem in Stochastic Processes               
    Jun Ohkubo
    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, Volume:78, Number:12, First page:123001-1, Last page:123001-4, Dec. 2009, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1143/JPSJ.78.123001
    DOI ID:10.1143/JPSJ.78.123001, ISSN:0031-9015, Web of Science ID:WOS:000272985600001
  • Variational principle of counting statistics in master equations               
    Jun Ohkubo
    PHYSICAL REVIEW E, Volume:80, Number:1, First page:012101-1, Last page:012101-4, Jul. 2009, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1103/PhysRevE.80.012101
    DOI ID:10.1103/PhysRevE.80.012101, ISSN:1539-3755, Web of Science ID:WOS:000268616300115
  • Current and fluctuation in a two-state stochastic system under nonadiabatic periodic perturbation               
    Jun Ohkubo
    JOURNAL OF CHEMICAL PHYSICS, Volume:129, Number:20, First page:205102-1, Last page:205102-6, Nov. 2008, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1063/1.3026510
    DOI ID:10.1063/1.3026510, ISSN:0021-9606, Web of Science ID:WOS:000262607100038
  • Power-law behavior and condensation phenomena in disordered urn models               
    Jun-ichi Inoue; Jun Ohkubo
    JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, Volume:41, Number:32, First page:324020-1, Last page:324020-14, Aug. 2008, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1088/1751-8113/41/32/324020
    DOI ID:10.1088/1751-8113/41/32/324020, ISSN:1751-8113, eISSN:1751-8121, Web of Science ID:WOS:000258023900022
  • Approximation scheme for master equations: Variational approach to multivariate case               
    Jun Ohkubo
    JOURNAL OF CHEMICAL PHYSICS, Volume:129, Number:4, First page:044108-1, Last page:044108-8, Jul. 2008, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1063/1.2957462
    DOI ID:10.1063/1.2957462, ISSN:0021-9606, Web of Science ID:WOS:000258171500013
  • Hannay angle and geometric phase shifts under adiabatic parameter changes in classical dissipative systems               
    N. A. Sinitsyn; J. Ohkubo
    JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, Volume:41, Number:26, First page:262002-1, Last page:262002-4, Jul. 2008, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1088/1751-8113/41/26/262002
    DOI ID:10.1088/1751-8113/41/26/262002, ISSN:1751-8113, Web of Science ID:WOS:000256694000002
  • Transition phenomena induced by internal noise and quasi-absorbing state               
    Jun Ohkubo; Nadav Shnerb; David A. Kessler
    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, Volume:77, Number:4, First page:044002-1, Last page:044002-5, Apr. 2008, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1143/JPSJ.77.044002
    DOI ID:10.1143/JPSJ.77.044002, ISSN:0031-9015, Web of Science ID:WOS:000255110900012
  • The stochastic pump current and the non-adiabatic geometrical phase               
    Jun Ohkubo
    JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, Volume:2008, Number:2, First page:P02011-1, Last page:P02011-12, Feb. 2008, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1088/1742-5468/2008/02/P02011
    DOI ID:10.1088/1742-5468/2008/02/P02011, ISSN:1742-5468, Web of Science ID:WOS:000254376400008
  • Condensation phenomena with distinguishable particles               
    Jun Ohkubo
    PHYSICAL REVIEW E, Volume:76, Number:5, First page:051108-1, Last page:051108-6, Nov. 2007, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1103/PhysRevE.76.051108
    DOI ID:10.1103/PhysRevE.76.051108, ISSN:1539-3755, Web of Science ID:WOS:000251326100015
  • A field theoretic approach to master equations and a variational method beyond the Poisson ansatz               
    Jun Ohkubo
    JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, Volume:2007, Number:9, First page:P09017-1, Last page:P09017-13, Sep. 2007, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1088/1742-5468/2007/09/P09017
    DOI ID:10.1088/1742-5468/2007/09/P09017, ISSN:1742-5468, Web of Science ID:WOS:000249982200019
  • Free energy of disordered urn models in the canonical ensemble               
    Jun Ohkubo
    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, Volume:76, Number:9, First page:095002-1, Last page:095002-2, Sep. 2007, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1143/JPSJ.76.095002
    DOI ID:10.1143/JPSJ.76.095002, ISSN:0031-9015, Web of Science ID:WOS:000249723300035
  • Nonadditive volume and community detection problem in complex networks               
    Jun Ohkubo; Kazuyuki Tanaka
    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, Volume:75, Number:11, First page:115001-1, Last page:115001-2, Nov. 2006, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1143/JPSJ.75.115001
    DOI ID:10.1143/JPSJ.75.115001, ISSN:0031-9015, Web of Science ID:WOS:000242210200050
  • Replica analysis of preferential urn model               
    Jun Ohkubo; Muneki Yasuda; Kazuyuki Tanaka
    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, Volume:75, Number:7, First page:074802-1, Last page:074802-6, Jul. 2006, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1143/JPSJ.75.074802
    DOI ID:10.1143/JPSJ.75.074802, ISSN:0031-9015, Web of Science ID:WOS:000240212900041
  • Preferential urn model and nongrowing complex networks               
    J Ohkubo; M Yasuda; K Tanaka
    PHYSICAL REVIEW E, Volume:72, Number:6, First page:065104(R)-1, Last page:065104(R)-4, Dec. 2005, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1103/PhysRevE.72.065104
    DOI ID:10.1103/PhysRevE.72.065104, ISSN:1539-3755, Web of Science ID:WOS:000235065000004
  • Statistical-mechanical iterative algorithms on complex networks               
    J Ohkubo; M Yasuda; K Tanaka
    PHYSICAL REVIEW E, Volume:72, Number:4, First page:046135-1, Last page:046135-8, Oct. 2005, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1103/PhysRevE.72.046135
    DOI ID:10.1103/PhysRevE.72.046135, ISSN:2470-0045, eISSN:2470-0053, Web of Science ID:WOS:000232931200047
  • Generation of complex bipartite graphs by using a preferential rewiring process               
    J Ohkubo; K Tanaka; T Horiguchi
    PHYSICAL REVIEW E, Volume:72, Number:3, First page:036120-1, Last page:036120-10, Sep. 2005, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1103/PhysRevE.72.036120
    DOI ID:10.1103/PhysRevE.72.036120, ISSN:2470-0045, eISSN:2470-0053, Web of Science ID:WOS:000232227800028
  • Scale-free property of optimal network for packet flow by a packet routing control               
    J Ohkubo; T Horiguchi
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, Volume:353, Number:1-4, First page:649, Last page:660, Aug. 2005, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1016/j.physa.2005.01.020
    DOI ID:10.1016/j.physa.2005.01.020, ISSN:0378-4371, eISSN:1873-2119, Web of Science ID:WOS:000229915200045
  • Complex networks by non-growing model with preferential rewiring process               
    J Ohkubo; T Horiguchi
    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, Volume:74, Number:4, First page:1334, Last page:1340, Apr. 2005, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1143/JPSJ.74.1334
    DOI ID:10.1143/JPSJ.74.1334, ISSN:0031-9015, CiNii Articles ID:150000092053, Web of Science ID:WOS:000228562900038
  • Molecular alignment in a liquid induced by a nonresonant laser field: Molecular dynamics simulation               
    J Ohkubo; T Kato; H Kono; Y Fujimura
    JOURNAL OF CHEMICAL PHYSICS, Volume:120, Number:19, First page:9123, Last page:9132, May 2004, [Reviewed]
    English, Scientific journal
    DOI:https://doi.org/10.1063/1.1704631
    DOI ID:10.1063/1.1704631, ISSN:0021-9606, Web of Science ID:WOS:000221146400026
■ Books and other publications
  • 線形代数の半歩先 データサイエンス・機械学習に挑む前の30話               
    大久保 潤, [Single work]
    Mar. 2025
    ISBN:9784065386477, 共同研究・競争的資金等ID:36619934
  • 確率的シミュレーション               
    大久保 潤, [Single work]
    Dec. 2023
    ISBN:9784627097216, 共同研究・競争的資金等ID:36619934
  • ネットワーク科学の道具箱               
    林, 幸雄; 大久保, 潤; 藤原, 義久; 上林, 憲行; 小野, 直亮; 湯田, 聴夫; 相馬, 亘; 佐藤, 一憲, [Contributor]
    Dec. 2007
    Japanese, Total pages:viii, 212p
    CiNii Books:http://ci.nii.ac.jp/ncid/BA84306856
    ISBN:9784764903463, CiNii Books ID:BA84306856
■ Lectures, oral presentations, etc.
  • 組合せ最適化問題を高速に解くイジングマシンへのデータ解析手法の応用               
    直井 達也; 岸本 龍弥; 大久保 潤
    Mar. 2025
    Mar. 2025 - Mar. 2025, Japanese, Oral presentation
    共同研究・競争的資金等ID:36619934
  • 確率微分方程式の期待値計算における簡潔な表現に関する研究               
    岸本 龍弥; 大久保 潤
    Mar. 2025
    Mar. 2025 - Mar. 2025, Japanese, Oral presentation
    共同研究・競争的資金等ID:36619934
  • Koopman作用素によるデータと方程式情報の統合的な利用               
    太田 一郎; 小柳 尚太; 金城 佳世; 大久保 潤
    Mar. 2025
    Mar. 2025 - Mar. 2025, Japanese, Oral presentation
    共同研究・競争的資金等ID:36619934
  • Sliding Window を用いたカーネル拡張動的モード分解のオンライン化               
    櫻井 大和; 金城 佳世; 大久保 潤
    Mar. 2025
    Mar. 2025 - Mar. 2025, Japanese, Oral presentation
    共同研究・競争的資金等ID:36619934
  • 確率微分方程式を対象としたニューラルネットワーク中間層の可視化とKoopman解析               
    濱 晴矢; 大久保 潤
    Sep. 2024
    Japanese, Poster presentation
    共同研究・競争的資金等ID:36619934
  • オンライン拡張動的モード分解を用いた既知のKoopnan行列の更新               
    小柳 尚太; 大久保 潤
    Sep. 2024
    Japanese, Poster presentation
    共同研究・競争的資金等ID:36619934
  • オンラインEDMDにおける方程式の情報の利用               
    太田 一郎; 小柳 尚太; 金城 佳世; 大久保 潤
    Sep. 2024
    Japanese, Poster presentation
    共同研究・競争的資金等ID:36619934
  • アニーリングマシンにおける制約式を扱う2つの手法のレプリカ交換モンテカルロ法による比較               
    岸本 龍弥; 大久保 潤
    Sep. 2024
    Japanese, Poster presentation
    共同研究・競争的資金等ID:36619934
  • 双対過程における微分方程式系の解法としてのテンソル・トレイン形式               
    金城 佳世; 大久保 潤
    Sep. 2024
    Japanese, Oral presentation
    共同研究・競争的資金等ID:36619934
  • 生成子拡張動的モード分解を用いた決定論的レーザカオスの確率モデル化               
    福士 鶴太郎; 大久保 潤
    Sep. 2024
    Japanese, Oral presentation
    共同研究・競争的資金等ID:43806931
  • リッジレット変換によるニューラルネットワークのパラメータ初期化手法の改良               
    本間 輝; 大久保 潤
    Sep. 2024
    Japanese, Oral presentation
    共同研究・競争的資金等ID:35825151
  • Sliding Windowを用いたカーネル拡張動的モード分解のオンライン化               
    櫻井 大和; 大久保 潤
    Sep. 2024
    Japanese, Oral presentation
    共同研究・競争的資金等ID:36619934
  • レプリカ交換モンテカルロ法による組合せ最適化問題の解探索に対するKoopman解析               
    直井 達也; 大久保 潤
    Sep. 2024
    Japanese, Oral presentation
    共同研究・競争的資金等ID:36619934
  • Koopman作用素とテンソル・トレイン形式をニューラルネットワークに使う               
    大久保潤
    Jul. 2024, [Invited]
    Japanese, Invited oral presentation
    共同研究・競争的資金等ID:36619934
  • Computing Statistics of Stochastic Differential Equations Via Tensor-Train Format               
    Kayo Kinjo; Jun Ohkubo
    2024 SIAM Conference on Nonlinear Waves and Coherent Structures, Jun. 2024
    Jun. 2024 - Jun. 2024, English, Poster presentation
    共同研究・競争的資金等ID:36619934
  • Reservoir computing with attention mechanism;Improving chaotic time-series forecasting               
    Felix Koster; Kazutaka Kanno; Jun Ohkubo; Atsushi Uchida
    The First International Symposium on Photonic Computing, Mar. 2024
    Mar. 2024 - Mar. 2024, English, Poster presentation
  • Probabilistic interpretation for leader-laggard relationship in mutually coupled synchronized semiconductor lasers               
    Jun Ohkubo; Kakutaro Fukushi; Yuuki Tahara; Kayo Kinjo
    The First International Symposium on Photonic Computing, Mar. 2024
    Mar. 2024 - Mar. 2024, English, Poster presentation
    共同研究・競争的資金等ID:43806931
  • 方程式とデータの融合へ向けて: 確率過程の双対性とKoopman作用素               
    大久保潤
    Oct. 2023, [Invited]
    Japanese, Invited oral presentation
    共同研究・競争的資金等ID:36619934
  • 最適化問題におけるスピン状態の特徴付けとその応用               
    佐藤 芳樹; 此島 真喜子; 田村 泰孝; 大久保 潤
    Sep. 2023
    Japanese, Oral presentation
  • モンテカルロサンプリングを用いない統計量の計算:双対過程における微分方程式系のテンソル・トレイン形式               
    金城 佳世; 大久保 潤
    Sep. 2023
    Japanese, Oral presentation
    共同研究・競争的資金等ID:36619934
  • カーネル法を用いた拡張動的モード分解へのオンライン学習の適用               
    櫻井 大和; 大久保 潤
    Sep. 2023
    Japanese, Poster presentation
    共同研究・競争的資金等ID:36619934
  • gEDMDを用いた相互結合レーザによる遅延カオス同期の確率モデル化               
    田原 悠暉; 大久保 潤
    Sep. 2023
    Japanese, Poster presentation
    共同研究・競争的資金等ID:43806931
  • スパイク性を用いた回帰問題の性能向上に向けた正規化手法の提案               
    王子 周; 大久保 潤
    Sep. 2023
    Japanese, Poster presentation
  • 量子的でない確率過程と量子的な手法の接点と応用               
    大久保潤
    Sep. 2023, [Invited]
    Japanese, Invited oral presentation
  • 階層型クラスタリングを用いたKoopman作用素の低次元化による計算量削減               
    西方 智也; 大久保 潤
    Sep. 2023
    Japanese, Oral presentation
    共同研究・競争的資金等ID:36619934
  • 双対性を用いた確率微分方程式の統計量計算における基底関数の拡張               
    高橋 駿太; 大久保 潤
    Mar. 2023
    Japanese, Poster presentation
    共同研究・競争的資金等ID:36619934
  • 確率微分方程式の統計量計算へのフロンティア法の利用と工夫               
    濱 晴矢; 大久保 潤
    Mar. 2023
    Japanese, Oral presentation
    共同研究・競争的資金等ID:35825269
  • 双対性を利用した確率微分方程式のニューラルネットワークへの埋め込み               
    杉下 直輝; 大久保 潤
    Dec. 2022
    Japanese, Oral presentation
    共同研究・競争的資金等ID:35825151
  • 記憶ユニットの初期化方法による関数近似性能への影響               
    寺澤 悠翔; 大久保 潤
    Dec. 2022
    Japanese, Oral presentation
    共同研究・競争的資金等ID:35825151
  • アニーリングマシンにおける相関に基づく連続変数の離散化手法               
    古江 友樹; 此島 真喜子; 田村 泰孝; 大久保 潤
    Dec. 2022
    Japanese, Oral presentation
  • 確率モデルにおけるポンプカレント現象の最適化と幾何学的描像               
    佐野 隆二; 大久保 潤
    Dec. 2022
    Japanese, Oral presentation
  • スパイキングニューラルネットワークへの AdaBoost の適用と工夫               
    川口 雅也; 大久保 潤
    Sep. 2022
    Japanese, Oral presentation
  • ホロノミック勾配法を用いた状態推定の連続時間系への適用               
    山本 陸; 大久保 潤
    Sep. 2022
    Japanese, Oral presentation
    共同研究・競争的資金等ID:36619934
  • 確率微分方程式における組合せ論的な統計量計算手法と計算コスト               
    大久保 潤
    Sep. 2022
    Japanese, Oral presentation
    共同研究・競争的資金等ID:35825269
  • 確率微分方程式に対する組合せ論的計算と Crank-Nicolson 法               
    大久保 潤
    Sep. 2022
    Japanese, Oral presentation
    共同研究・競争的資金等ID:36619934
  • Deep Learning Hybrid Models for Sentiment Analysis               
    Yunpeng Rong; Jun Ohkubo
    Nov. 2021
    English, Oral presentation
  • スパイキングニューラルネットワークにおけるマルコフ情報源の符号化手法の検討               
    関根 清貴; 大久保 潤
    Oct. 2021
    Oral presentation
  • 常微分方程式に基づくニューラルネットワークの複雑さと精度の数値的研究               
    江刺家 郁; 大久保 潤
    Oct. 2021
  • イジング形式を用いた組み合わせ最適化問題の難しさの可視化と定量化               
    副島 圭市; 此島 真喜子; 田村 泰孝; 大久保 潤
    Oct. 2021
    Oral presentation
  • 双対過程に基づくコンピューティングの展開               
    大久保 潤
    Aug. 2021, [Invited]
    Nominated symposium
  • 誤差逆伝播法を用いたSNNにおける量子化の影響評価               
    渡辺 裕美; 大久保 潤
    Oct. 2020
    Japanese, Oral presentation
  • Numerical experiments for iterative path-integral method under compound Poisson process               
    Hongrui Zhai; Jun Ohkubo
    Oct. 2020
    English, Oral presentation
  • Estimation of Water Storage and Drainage of Perlite As Soil for Automated Planter Cultivation               
    Yuka Hasama; Yoshiaki Saito; Jun Ohkubo
    Sep. 2020 - Sep. 2020, English, Oral presentation
  • 確率微分方程式における双対性を用いた期待値の計算               
    大久保 潤
    Mar. 2020 - Mar. 2020, Japanese, Oral presentation
  • イジング計算機での利用に向けたl1ノルムのQUBO形式について               
    横田 知大; 此島 真喜子; 田村 泰孝; 大久保 潤
    Mar. 2020 - Mar. 2020, Japanese, Oral presentation
  • プランタ栽培における含水状態および排水の計測               
    挾間 優佳; 齋藤 芳明; 大久保 潤
    Mar. 2020 - Mar. 2020, Japanese, Oral presentation
  • ベイズ統計を用いた神経細胞軸索輸送の自動粒子追跡に関する研究               
    稗田 康洋; 大久保 潤; 林 久美子
    Mar. 2020 - Mar. 2020, Japanese, Oral presentation
  • 双対を用いた計算について               
    大久保 潤
    Nov. 2019, [Invited]
    Japanese, Invited oral presentation
    共同研究・競争的資金等ID:24613319
  • CEMアルゴリズムを用いたマルウェアのクラスタリング               
    レーナン トゥアンアン; 大久保 潤
    Oct. 2019 - Oct. 2019, Japanese, Oral presentation
  • word2visualvec を応用したマルウェア亜種推定の枠組みの提案               
    横瀬 謙信; 大久保 潤
    Oct. 2019 - Oct. 2019, Japanese, Oral presentation
  • 確率過程の双対性を利用したコンピューティング               
    大久保 潤
    Mar. 2019, [Invited], [Domestic conference]
    Japanese, Invited oral presentation
  • イベント駆動型シミュレーションのサンプリング効率化について               
    大久保 潤
    Mar. 2019
    Japanese, Poster presentation
  • 土壌の含水状態モデリング               
    挾間 優佳; 齋藤 芳明; 大久保 潤
    Mar. 2019 - Mar. 2019, Japanese, Oral presentation
  • 強化学習における相互情報量を用いた探索行動の調整               
    小山 凱史; 大久保 潤
    Mar. 2019, Japanese, Oral presentation
  • ReLU型関数のQUBO形式に関する数値的検証               
    佐藤 豪; 此島 真喜子; 大輪 拓也; 田村 泰孝; 大久保 潤
    Mar. 2019
    Japanese, Oral presentation
  • 機械学習を利用するための考え方のポイント               
    大久保 潤
    Sep. 2018, [Invited], [Domestic conference]
    Japanese, Invited oral presentation
  • fastTextを用いたマルウェア亜種判別               
    岩元 遼太; 大久保 潤
    Sep. 2018 - Sep. 2018, Japanese, Oral presentation
  • 双対性と経路積分を用いた最適制御における補間法の利用               
    武田 雄介; 大久保 潤
    Sep. 2018 - Sep. 2018, Japanese, Oral presentation
  • Computation based on Duality in Stochastic Processes and Its Application               
    Jun Ohkubo
    2018 International Symposium for Advanced Computing and Information Technology (ISACIT 2018), Aug. 2018, [Invited], [International conference]
    English, Keynote oral presentation
  • 分割演算子法を用いた確率的勾配法の検討               
    鈴木 和磨; 大久保 潤
    Sep. 2017 - Sep. 2017, Japanese, Oral presentation
  • ガウシアングラフィカルモデルを用いた動画補修の提案               
    藤田 涼世; 大久保 潤
    Sep. 2017 - Sep. 2017, Japanese, Oral presentation
  • 二値行列分解のためのイジングモデルの定式化               
    中村 崇人; 大久保 潤; 此島 真喜子; 田村 泰孝
    Sep. 2017 - Sep. 2017, Japanese, Oral presentation
  • 確率微分方程式のモデル推定の双対性に基づいた数値計算法の提案               
    荒井 祐樹; 大久保 潤
    Sep. 2017 - Sep. 2017, Japanese, Oral presentation
  • 機械学習を利用するための考え方のポイント               
    大久保 潤
    Oct. 2016, [Invited], [Domestic conference]
    Japanese, Invited oral presentation
  • 非可換代数と双対確率過程 -- 量子系の手法で古典確率過程を扱う               
    大久保 潤
    May 2015, [Invited], [Domestic conference]
    Japanese, Invited oral presentation
  • Toward useful and concise descriptions for dynamics in small systems               
    Jun Ohkubo
    Minisymposium "Stochastic processes on biological fluctuations" in the joint annual meeting of the Japanese society for mathematical biology and the society for mathematical biology (JSMB/SMB OSAKA 2014), Jul. 2014, [Invited], [International conference]
    English, Invited oral presentation
  • Geometric phase discussions for counting statistics               
    2013 Taiwan International Workshop on Biological Physics and Complex Systems (BioComplex-Taiwan-2013), Jul. 2013, [Invited], [International conference]
    English, Invited oral presentation
  • Application of quantum mechanical formulation to classical stochastic processes               
    Kyoto University-Durham University Joint International Symposium 2012: Emergence and Feedback in Physical and Social Systems, Nov. 2012, Various instutites and departments in Kyoto University and Durham University, [Invited], [International conference]
    English, Invited oral presentation
  • Applications of concepts and methods in physics to stochasticity in networks               
    International Conference on Towards Mathematical Foundations of Complex Network Theory, Sep. 2012, [Invited], [International conference]
    English, Invited oral presentation
  • 離散的に観測された時系列データからのモデル再構成               
    Jun. 2012, [Invited]
    Japanese, Invited oral presentation
  • 計数統計とその周辺               
    Sep. 2011
    Japanese, Invited oral presentation
  • 非平衡統計力学から見たナノデバイスの情報処理機能               
    Mar. 2011, [Invited]
    Japanese, Invited oral presentation
■ Affiliated academic society
  • THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS
  • THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS
  • THE PHYSICAL SOCIETY OF JAPAN
■ Research projects
  • Koopman作用素を用いたニューラルネットワークの構築とその応用               
    Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Apr. 2021 - Mar. 2026
    Saitama University
    Grant amount(Total):4160000, Direct funding:3200000, Indirect funding:960000
    Grant number:21K12045
    論文ID:48941158, 講演・口頭発表等ID:48233904
  • Koopman作用素を用いたレーザダイナミクスの確率的挙動のモデル化               
    Apr. 2023 - Mar. 2025
    Grant amount(Total):6500000, Direct funding:5000000, Indirect funding:1500000
    Grant number:23H04800
    論文ID:47171278, 講演・口頭発表等ID:48233912
  • 方程式と双対性でつなぐ革新的データ処理技術の創出               
    Apr. 2022 - Mar. 2025
    Principal investigator
    論文ID:48941162, 書籍等出版物ID:49401649, 講演・口頭発表等ID:49544108
  • 双対過程に基づくサンプリング不要な統計量計算手法のアルゴリズム論的解析と効率化               
    Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Transformative Research Areas (A), Grant-in-Aid for Transformative Research Areas (A), Sep. 2021 - Mar. 2023
    Saitama University, Principal investigator
    Grant amount(Total):5200000, Direct funding:4000000, Indirect funding:1200000
    Grant number:21H05843
    講演・口頭発表等ID:42312298
  • 双対過程に基づくコンピューティングの展開               
    Oct. 2018 - Mar. 2022
    Principal investigator
    論文ID:40648210, 講演・口頭発表等ID:26885217
  • 双対関係を利用した時系列データモデリング手法の構築               
    Apr. 2016 - Mar. 2020
    Principal investigator
    Competitive research funding
  • 代数的確率論に基づく細胞内反応時系列データ解析手法の開発               
    2013 - 2015
    Principal investigator
    Competitive research funding
  • Computational study of locomotion, learning, and memory using stochastic analysis methods               
    Ministry of Education, Culture, Sports, Science and Technology, Grants-in-Aid for Scientific Research(新学術領域研究(研究領域提案型)), 新学術領域研究(研究領域提案型), 2008 - 2012
    Naoki MASUDA; 大久保 潤, 東京大学, Coinvestigator not use grants
    Grant amount(Total):33930000, Direct funding:26100000, Indirect funding:7830000
    (抄録なし)
    Competitive research funding, Grant number:20115009
  • Development and applications of analytical methods for classical stochastic processes based on condensed matter physics               
    Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Grant-in-Aid for Young Scientists (B), 2009 - 2011
    OHKUBO Jun, Principal investigator
    Grant amount(Total):3380000, Direct funding:2600000, Indirect funding:780000
    Inthisstudy, analyticalmethodsforclassicalstochasticprocesseswerestudied. Basedonformalanalogieswithmethodsincondensedmatterphysics, thefollowingtwopointsweremainlyinvestigated, i. e.,(1) arelationshipbetweenquantummechanicalformalismandstochasticprocessesforchemicalreactionsandecosystems, and(2) basicsforcountingstatistics(itsrelationtogeometricphases, andproposalofanumericalmethod). Inaddition, anewapProximationschemeforgeneregulatorysystemswasproposed. Thesestudiesareexpectedtobeusefulnotonlyforphysics, butalsoforlifesciences.
    Competitive research funding, Grant number:21740283
  • 確率的情報処理としての複雑ネットワークにおけるコミュニティ検出・制御理論の構築               
    2006 - 2006
    Principal investigator
    Competitive research funding, Grant number:06J05140
■ Industrial Property Rights
  • 信号分析装置,信号分析方法及びコンピュータプログラム               
    Patent right
    Patent/Registration no:特許6112613
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