Alexandre Kalimouttou

Differentiable latent structure discovery for interpretable forecasting in clinical time series

Abstract Background Timely, uncertainty-aware forecasting from irregular electronic health records (EHR) can support critical-care decisions, yet most approaches either impute to a grid or sacrifice interpretability. We introduce StructGP, a continuous-time multi-task Gaussian pr...