A learnable mask F(z)=1-exp(-α²z²), applied pointwise before activation, improves PINN accuracy and stability on several PDE benchmarks and activation functions.
Physics guided RNNs for modeling dynamical systems: A case study in simulating lake temperature profiles,
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Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks
A learnable mask F(z)=1-exp(-α²z²), applied pointwise before activation, improves PINN accuracy and stability on several PDE benchmarks and activation functions.