Jun Ohkubo

19 papers C 1Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Integrated utilization of equations and small dataset in the Koopman operator: applications to forward and inverse Problems. CoRR Ichiro Ohta, Shota Koyanagi, Kayo Kinjo, Jun Ohkubo
2025	J	`jnl`	Koopman operator-based discussion on partial observation in stochastic systems. CoRR Jun Ohkubo
2025	J	`jnl`	Neural network initialization with nonlinear characteristics and information on spectral bias. CoRR Hikaru Homma, Jun Ohkubo
2024	J	`jnl`	Aspects of importance sampling in parameter selection for neural networks using ridgelet transform. CoRR Hikaru Homma, Jun Ohkubo
2024	J	`jnl`	Compression of the Koopman matrix for nonlinear physical models via hierarchical clustering. CoRR Tomoya Nishikata, Jun Ohkubo
2024	J	`jnl`	Extraction of nonlinearity in neural networks and model compression with Koopman operator. CoRR Naoki Sugishita, Kayo Kinjo, Jun Ohkubo
2023	J	`jnl`	Attention-Enhanced Reservoir Computing. CoRR Felix Köster, Kazutaka Kanno, Jun Ohkubo, Atsushi Uchida
2023	J	`jnl`	Characterization of Locality in Spin States and Forced Moves for Optimizations. CoRR Yoshiki Sato, Makiko Konoshima, Hirotaka Tamura, Jun Ohkubo
2023	J	`jnl`	Efficient correlation-based discretization of continuous variables for annealing machines. CoRR Yuki Furue, Makiko Konoshima, Hirotaka Tamura, Jun Ohkubo
2023	J	`jnl`	Embedding stochastic differential equations into neural networks via dual processes. CoRR Naoki Sughishita, Jun Ohkubo
2022	J	`jnl`	Statistics for stochastic differential equations and local approximation of Crank-Nicolson method. CoRR Jun Ohkubo
2021	J	`jnl`	Numerical methods to evaluate Koopman matrix from system equations. CoRR Jun Ohkubo
2021	J	`jnl`	STDP enhances learning by backpropagation in a spiking neural network. CoRR Kotaro Furuya, Jun Ohkubo
2020	J	`jnl`	Derivation of QUBO formulations for sparse estimation. CoRR Tomohiro Yokota, Makiko Konoshima, Hirotaka Tamura, Jun Ohkubo
2014	J	`jnl`	Nonlinear Kalman filter based on duality relations between continuous and discrete-state stochastic processes. CoRR Jun Ohkubo
2013	J	`jnl`	Basics of Counting Statistics. IEICE Trans. Commun. Jun Ohkubo
2010	C	`conf`	Solving Partial Differential Equation via Stochastic Process. UC Jun Ohkubo
2009	—	`conf`	Pump Current as a Signal Transformation. IWNC Jun Ohkubo
2005	—	`conf`	Preferential Urn Model on a Random Network. CIMCA/IAWTIC Jun Ohkubo, Kazuyuki Tanaka