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Learning the Evolution of Correlated Stochastic Power System Dynamics
A machine learning technique is proposed for quantifying uncertainty in power system dynamics with spatiotemporally correlated stochastic forcing.
Autonomous learning of nonlocal stochastic neuron dynamics
When random excitations are modeled as Gaussian white noise, the joint PDF of neuron states satisfies exactly a Fokker-Planck equation.
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