Energy-Guided Learning for Heat Equation with Noisy Source: Optimal Estimation and Generalization Bounds

Data and the governing partial differential equations (PDEs) of continuous-time dynamical systems provide rich structure for statistical learning. A central challenge is how to integrate data with PDE constraints in a principled way to improve generalization. In this paper, we characterize the stati