research
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06/08/2023
Embedding stochastic differential equations into neural networks via dual processes
We propose a new approach to constructing a neural network for predictin...
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01/18/2023
Efficient correlation-based discretization of continuous variables for annealing machines
Annealing machines specialized for combinatorial optimization problems h...
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07/27/2022
Statistics for stochastic differential equations and local approximation of Crank-Nicolson method
Numerical evaluation of statistics plays an important role in data assim...
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11/14/2021
Numerical methods to evaluate Koopman matrix from system equations
A method that is employed to evaluate a Koopman matrix from a data set o...
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02/21/2021
STDP enhances learning by backpropagation in a spiking neural network
A semi-supervised learning method for spiking neural networks is propose...
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01/11/2020