Latent ODEs for Irregularly-Sampled Time Series

8 Jul 2019Yulia RubanovaRicky T. Q. ChenDavid Duvenaud

Time series with non-uniform intervals occur in many applications, and are difficult to model using standard recurrent neural networks (RNNs). We generalize RNNs to have continuous-time hidden dynamics defined by ordinary differential equations (ODEs), a model we call ODE-RNNs... (read more)

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