works on
gated optimization 1partial differential equations 1physics-informed neural networks 1training stability 1weight initialization 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.LG2026

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

Nilay Anurag, Shital Adhikari, Taniya Kapoor +1

The paper introduces LIGO-PINN, a learned weight initialization method using gated layerwise optimization to improve the training stability and convergence of physics-informed neur…