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Parameter inversion on NSInv (fMSE-M)

Parameter inversion on NSInv (fMSE-M)

5.59fMSE-MP-PINN

Updated 8mo ago

Evaluation results

Method	Links
P-PINN2026.02		5.59
D-PINN2026.02		9.12
PINN2026.02		48.7
B-PINN2026.02		121

State-of-the-art paper

P-PINN

Unlearning Noise in PINNs: A Selective Pruning Framework for PDE Inverse Problems

Dataset

NSInv

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Related benchmarks

Data Assimilation on Poisson Data Assimilation on Heat Data assimilation on Wave Data Assimilation on Stokes Parameter inversion on PInv

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