arXiv Machine Learning June 19, 2026 By Yun-Fei Song, Long-Gang Pang, Fu-Peng Li, Jun-Jie Zhang

Physics-Informed Neural Network with Squeeze-Excitation-like Attention

Read the original on arXiv Machine Learning →

arXiv:2606. 19853v1 Announce Type: new Abstract: We introduce SEA-PINN, a novel architecture that incorporates a Squeeze-Excitation-like attention mechanism into physics-informed neural networks to dynamically recalibrate the importance of neurons across layers.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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