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The neural Ordinary Differential Equation (ODE) model has shown success in learning complex continuous-time processes from observations on discrete time stamps.
Mathematical models of threshold phenomena in the nerve membrane
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Neural controlled differential equations for irregular time series
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PTB-XL, a large publicly available electrocardiography dataset
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Long expressive memory for sequence modeling
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Approximation and optimization theory for linear continuous-time recurrent neural networks
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