GP-TEMPEST is a time-aware variational autoencoder for molecular dynamics simulations. It places a Matérn Gaussian Process prior on the latent trajectories, exploiting temporal correlations to recover kinetically relevant coordinates — even hidden ones invisible in any low-dimensional projection of the data.