Rethinking Physics-Informed Regression Beyond Training Loops and Bespoke Architectures

Lorenzo Sabug, Eric Kerrigan

We revisit the problem of physics-informed regression, and propose a method that directly computes the state at the prediction point, simultaneously with the derivative and curvatu…