A. Karimi

Physics-Informed Foresight Pruning for Sparse PINN Solvers of Nonlinear PDEs

Small-batch PINN-NTK diagnostics further show that residual fidelity, solution accuracy, and kernel conditioning are distinct objectives, motivating pruning methods that explicitly balance solution-side and residual-side training dynamics during optimization.