LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks

LIGO-PINN introduces a gated optimization technique to improve the training stability and convergence of physics-informed neural networks in complex domains.

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