Author

Aleksandra Jekic

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#machine learning Sep 2025

Examining the robustness of Physics-Informed Neural Networks to noise for Inverse Problems

This work compares the performance of PINNs in solving inverse problems with that of a traditional approach using the finite element method combined with a numerical optimizer and finds that while PINNs may require less human effort and specialized knowledge, they are outperformed by the traditional approach.

Aleksandra Jekic, Afroditi Natsaridou, Signe Riemer-Sørensen et al. · arXiv.org · 3 citations · ⚡1