Search Results for author: Janbernd Kirschner

Found 3 papers, 2 papers with code

A statistical approach to latent dynamic modeling with differential equations

1 code implementation27 Nov 2023 Maren Hackenberg, Astrid Pechmann, Clemens Kreutz, Janbernd Kirschner, Harald Binder

Neural networks are used for obtaining a low-dimensional latent space for dynamic modeling from a potentially large number of variables, and for obtaining patient-specific ODE parameters from baseline variables.

Deep dynamic modeling with just two time points: Can we still allow for individual trajectories?

1 code implementation1 Dec 2020 Maren Hackenberg, Philipp Harms, Michelle Pfaffenlehner, Astrid Pechmann, Janbernd Kirschner, Thorsten Schmidt, Harald Binder

Inspired by recent advances that allow to combine deep learning with dynamic modeling, we investigate whether such approaches can be useful for uncovering complex structure, in particular for an extreme small data setting with only two observations time points for each individual.

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