TGSR-PINN improves PINN inverse-problem transfer learning by scoring neuron relevance to the target task via Taylor sensitivity and pre-activation variance, then applying continuous soft decay to low-scoring neurons rather than hard pruning or random resetting.
Extended physics-informed neural networks (XPINNs).Communi- cations in Computational Physics, 2020, 28(5): 2002– 2041
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Target-Guided Selective Reweighting for Physics-Informed Neural Network Inverse Problems: A Transfer Learning Approach
TGSR-PINN improves PINN inverse-problem transfer learning by scoring neuron relevance to the target task via Taylor sensitivity and pre-activation variance, then applying continuous soft decay to low-scoring neurons rather than hard pruning or random resetting.