Preferential Urn Model on a Random Network. - Jun Ohkubo; Kazuyuki Tanaka (CIMCA/IAWTIC, 2005)

Pump Current as a Signal Transformation. - Jun Ohkubo (IWNC, 2009)

Solving Partial Differential Equation via Stochastic Process. - Jun Ohkubo (UC, 2010)

Basics of Counting Statistics. - Jun Ohkubo (IEICE Trans. Commun., 2013)

Nonlinear Kalman filter based on duality relations between continuous and discrete-state stochastic processes. - Jun Ohkubo (CoRR, 2014)

Derivation of QUBO formulations for sparse estimation. - Tomohiro Yokota; Makiko Konoshima; Hirotaka Tamura; Jun Ohkubo (CoRR, 2020)

STDP enhances learning by backpropagation in a spiking neural network. - Kotaro Furuya; Jun Ohkubo (CoRR, 2021)

Numerical methods to evaluate Koopman matrix from system equations. - Jun Ohkubo (CoRR, 2021)

Statistics for stochastic differential equations and local approximation of Crank-Nicolson method. - Jun Ohkubo (CoRR, 2022)

Efficient correlation-based discretization of continuous variables for annealing machines. - Yuki Furue; Makiko Konoshima; Hirotaka Tamura; Jun Ohkubo (CoRR, 2023)

Embedding stochastic differential equations into neural networks via dual processes. - Naoki Sughishita; Jun Ohkubo (CoRR, 2023)

Characterization of Locality in Spin States and Forced Moves for Optimizations. - Yoshiki Sato; Makiko Konoshima; Hirotaka Tamura; Jun Ohkubo (CoRR, 2023)

Attention-Enhanced Reservoir Computing. - Felix Köster; Kazutaka Kanno; Jun Ohkubo; Atsushi Uchida (CoRR, 2023)

Extraction of nonlinearity in neural networks and model compression with Koopman operator. - Naoki Sugishita; Kayo Kinjo; Jun Ohkubo (CoRR, 2024)

Compression of the Koopman matrix for nonlinear physical models via hierarchical clustering. - Tomoya Nishikata; Jun Ohkubo (CoRR, 2024)

Aspects of importance sampling in parameter selection for neural networks using ridgelet transform. - Hikaru Homma; Jun Ohkubo (CoRR, 2024)

Integrated utilization of equations and small dataset in the Koopman operator: applications to forward and inverse Problems. - Ichiro Ohta; Shota Koyanagi; Kayo Kinjo; Jun Ohkubo (CoRR, 2025)

Koopman operator-based discussion on partial observation in stochastic systems. - Jun Ohkubo (CoRR, 2025)