Jun Ohkubo

According to our database, Jun Ohkubo authored at least 16 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Aspects of importance sampling in parameter selection for neural networks using ridgelet transform.

Hikaru Homma, Jun Ohkubo

CoRR, 2024

Compression of the Koopman matrix for nonlinear physical models via hierarchical clustering.

Tomoya Nishikata, Jun Ohkubo

CoRR, 2024

Extraction of nonlinearity in neural networks and model compression with Koopman operator.

Naoki Sugishita, Kayo Kinjo, Jun Ohkubo

CoRR, 2024

2023

Attention-Enhanced Reservoir Computing.

Felix Köster, Kazutaka Kanno, Jun Ohkubo, Atsushi Uchida

CoRR, 2023

Characterization of Locality in Spin States and Forced Moves for Optimizations.

Yoshiki Sato, Makiko Konoshima, Hirotaka Tamura, Jun Ohkubo

CoRR, 2023

Embedding stochastic differential equations into neural networks via dual processes.

Naoki Sughishita, Jun Ohkubo

CoRR, 2023

Efficient correlation-based discretization of continuous variables for annealing machines.

Yuki Furue, Makiko Konoshima, Hirotaka Tamura, Jun Ohkubo

CoRR, 2023

2022

Statistics for stochastic differential equations and local approximation of Crank-Nicolson method.

Jun Ohkubo

CoRR, 2022

2021

Numerical methods to evaluate Koopman matrix from system equations.

Jun Ohkubo

CoRR, 2021

STDP enhances learning by backpropagation in a spiking neural network.

Kotaro Furuya, Jun Ohkubo

CoRR, 2021

2020

Derivation of QUBO formulations for sparse estimation.

Tomohiro Yokota, Makiko Konoshima, Hirotaka Tamura, Jun Ohkubo

CoRR, 2020

2014

Nonlinear Kalman filter based on duality relations between continuous and discrete-state stochastic processes.

Jun Ohkubo

CoRR, 2014

2013

Basics of Counting Statistics.

Jun Ohkubo

IEICE Trans. Commun., 2013

2010

Solving Partial Differential Equation via Stochastic Process.

Jun Ohkubo

Proceedings of the Unconventional Computation - 9th International Conference, 2010

2009

Pump Current as a Signal Transformation.

Jun Ohkubo

Proceedings of the Natural Computing - 4th International Workshop on Natural Computing, 2009

2005

Preferential Urn Model on a Random Network.

Jun Ohkubo, Kazuyuki Tanaka

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005