Parameter misspecification in physics-informed neural networks: A closed-form audit and its limits
Read the original at arxiv.org→arXiv:2610.23948v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) are trained to minimize the residual of a prescribed equation, so a low training loss does not indicate whether a coefficient...
Coverage timeline
- Oct 20, 04:00 UTC arXiv cs.LG lead source Parameter misspecification in physics-informed neural networks: A closed-form audit and its limits