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OHKUBO Jun

Faculty: Graduate School of Science and Engineering TEL:
Position: Professor ■FAX:
Address: 255 Shimo-Okubo, Sakura-ku, Saitama City, Saitama 338-8570, JAPAN ■Mail Address:
■Web site: http://www.sp.ics.saitama-u.ac.jp/ohkubo/index_j.html
http://www.sp.ics.saitama-u.ac.jp/ohkubo/

Profile

Assigned Class

Faculty of Engineering

Academic Background

Degree
Doctor (Information Science) , Tohoku University

Research

Books, Articles, etc.

Articles
Attention-enhanced reservoir computing
,Phys. Rev. Applied,22(1):014039, pp. 1-12 2024
Felix Köster, Kazutaka Kanno, Jun Ohkubo, and Atsushi Uchida

Characterization of locality in spin states and forced moves for optimizations
,J. Phys. Soc. Jpn. ,93(4):044802, pp. 1-7 2024
Yoshiki Sato, Makiko Konoshima, Hirotaka Tamura, and Jun Ohkubo

Improvement of system identification of stochastic systems via Koopman generator and locally weighted expectation
,J. Phys. Soc. Jpn.,93(4):074006, pp. 1-9 2024
Yuki Tahara, Kakutaro Fukushi, Shunta Takahashi, Kayo Kinjo, Jun Ohkubo

Extraction of nonlinearity in neural networks with Koopman operator
,J. Stat. Mech.,2024:073401, pp. 1-22 2024
Naoki Sugishita, Kayo Kinjo, Jun Ohkubo

Statistics for stochastic differential equations and approximations of resolvent
,J. Phys. Soc. Jpn.,92(7):074006, pp.1-10 2023
Jun Ohkubo

Embedding stochastic differential equations into neural networks via dual processes
,J. Stat. Mech.,2023:093201, pp. 1-15 2023
Naoki Sugishita and Jun Ohkubo

Redundant basis interpretation of Doi-Peliti method and an application
,J. Stat. Phys. ,190(10):159, pp. 1-18 2023
Shunta Takahashi and Jun Ohkubo

Efficient correlation-based discretization of continuous variables for annealing machines
,J. Phys. Soc. Jpn.,92(4):044802, pp. 1-7 2023
Yuki Furue, Makiko Konoshima, Hirotaka Tamura, and Jun Ohkubo

Numerical methods to evaluate Koopman matrix from system equations
,J. Phys. A: Math. Theor. ,55(22):224007, pp.1-20 2022
Jun Ohkubo

Water storage and drainage in perlite in container cultivation
,SICE Journal of Control, Measurement, and System Integration,14(2):pp. 104-110 2021
Yuka Hasama, Yoshiaki Saito, and Jun Ohkubo

Semi-supervised learning combining backpropagation and STDP: STDP enhances learning by backpropagation with a small amount of labeled data in a spiking neural network
,J. Phys. Soc. Jpn.,90(7):074802, pp. 1-9 2021
Kotaro Furuya and Jun Ohkubo

Connection among stochastic Hamilton-Jacobi-Bellman equation, path-integral, and Koopman operator on nonlinear stochastic optimal control
,J. Phys. Soc. Jpn.,90(10):104802, pp. 1-9 2021
Jun Ohkubo

Combinatorics for calculating expectation values of functions in systems with evolution governed by stochastic differential equations
,J. Stat. Mech.,2021(1):013401, pp. 1-18 2021
Jun Ohkubo

Derivation of QUBO formulations for sparse estimation
,J. Phys. Soc. Jpn.,89(3):034801, pp. 1-5 2020
Tomohiro Yokota, Makiko Konoshima, Hirotaka Tamura, and Jun Ohkubo

Making birth-death processes from backward Fokker-Planck equations for computing expectations in Langevin systems
,J. Phys. Soc. Jpn.,89(4):044004, pp. 1-6 2020
Jun Ohkubo

Quadratic unconstrained binary optimization formulation for rectified-linear-unit-type functions
,Phys. Rev. E,99(4):042106, pp. 1-5 2019
Go Sato, Makiko Konoshima, Takuya Ohwa, Hirotaka Tamura, and Jun Ohkubo

Duality in stochastic processes from the viewpoint of basis expansions
,J. Stat. Mech.,2019:063202, pp.1-13 2019
Jun Ohkubo and Yuuki Arai

Duality-based calculations for transition probabilities in stochastic chemical reactions
,Physical Review E,95(2):023304, pp.1-7 2017
Jun Ohkubo

On dualities for SSEP and ASEP with open boundary conditions
,Journal of Physics A: Mathematical and Theoretical,50(9):095004, pp.1-21 2017
Jun Ohkubo

Nonlinear Kalman filter based on duality relations between continuous and discrete-state stochastic processes
,Physical Review E,92(4):043302 2015
Jun Ohkubo

Presentation
Computation based on Duality in Stochastic Processes and Its Application
2018 International Symposium for Advanced Computing and Information Technology (ISACIT 2018) 201808
Jun Ohkubo