Physics-augmented Multi-task Gaussian Process for Modeling Spatiotemporal Dynamics
A physics-augmented, geometry-aware, multi-task Gaussian Process (P-G-MGP) framework designed for predictive modeling of spatiotemporal systems over complex geometric domains that can provide more accurate and physically consistent predictions even when available data are limited or irregularly distributed.