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Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models - USHCN experiments

This repository contains code for reproducing the USHCN experiments of the PhD thesis of Philippe Wenk. This repository contains two code bases.

gru_ode_bayes is used for preprocessing and has been built using the github repository published alongside the paper GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series. Please cite their work when using this code.

DGM_Extension contains a modified version of the DGM algorithm, with adaptation as described in the PhD thesis of Philippe Wenk.

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