Jun Ohkubo

According to our database1, Jun Ohkubo authored at least 16 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Aspects of importance sampling in parameter selection for neural networks using ridgelet transform.
CoRR, 2024

Compression of the Koopman matrix for nonlinear physical models via hierarchical clustering.
CoRR, 2024

Extraction of nonlinearity in neural networks and model compression with Koopman operator.
CoRR, 2024

2023
Attention-Enhanced Reservoir Computing.
CoRR, 2023

Characterization of Locality in Spin States and Forced Moves for Optimizations.
CoRR, 2023

Embedding stochastic differential equations into neural networks via dual processes.
CoRR, 2023

Efficient correlation-based discretization of continuous variables for annealing machines.
CoRR, 2023

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

2021
Numerical methods to evaluate Koopman matrix from system equations.
CoRR, 2021

STDP enhances learning by backpropagation in a spiking neural network.
CoRR, 2021

2020
Derivation of QUBO formulations for sparse estimation.
CoRR, 2020

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

2013
Basics of Counting Statistics.
IEICE Trans. Commun., 2013

2010
Solving Partial Differential Equation via Stochastic Process.
Proceedings of the Unconventional Computation - 9th International Conference, 2010

2009
Pump Current as a Signal Transformation.
Proceedings of the Natural Computing - 4th International Workshop on Natural Computing, 2009

2005
Preferential Urn Model on a Random Network.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005


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