Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods

Göran Köber, Raffael Kalisch, Lara Puhlmann +3

When modeling longitudinal biomedical data, often dimensionality reduction as well as dynamic modeling in the resulting latent representation is needed. This can be achieved by art…