arXiv cs.LG
· Papers
PIEFS: Physics-Informed Eigenfunction Features with Learnable Scaling
arXiv:2607.03692v2 Announce Type: replace Abstract: Spectral methods are widely used to construct representations from the geometry of data, but they often rely on a fixed kernel, graph Laplacian, or manually selected feature scaling. We propose Physics-Informed Eigenfunction Features with Learnable Scaling (PIEFS), a