Variational autoencoder for inference of nonlinear mixed effect models based on ordinary differential equations

Zhe Li, Mélanie Prague, Rodolphe Thiébaut +1

We propose a variational autoencoder (VAE) approach for parameter estimation in nonlinear mixed-effects models based on ordinary differential equations (NLME-ODEs) using longitudin…