LIGO-PINN: learned initialization via gated optimization to alleviate convergence failures in physics informed neural networks
Read the original at arxiv.org→arXiv:2607.14233v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) have had a broad research impact in modeling domains governed by partial differential equations (PDE). However, PINNs have...
Original headline: "LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks"
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- Jul 17, 04:00 UTC arXiv cs.LG lead source LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks