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News/Physics-Informed Neural Network with Squeeze-Excitation-like Attention
arxiv
PublishedJune 19, 2026 at 4:00 AM
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Physics-Informed Neural Network with Squeeze-Excitation-like Attention

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

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. A key feature of SEA-PINN is its highl

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Discussion
Mentioned models
03
  • 01
    SEA-PINN
  • 02
    FNN-PINN
  • 03
    TSA-PINN
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#physics-informed-neural-networks#machine-learning#benchmark#optimization

No replies yet. Be first.

Mentioned models
03
  • 01
    SEA-PINN
  • 02
    FNN-PINN
  • 03
    TSA-PINN
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#physics-informed-neural-networks#machine-learning#benchmark#optimization

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