$\Psi$-Resilience: Model-Free Feature Importance from 1D Topological Signals
arXiv:2610.02299v1 Announce Type: new Abstract: We introduce $\Psi$-Resilience, a model-free feature importance method that derives explanations directly from the data itself via 1D topological signals. Our method constructs a class-disagreement landscape by estimating class-conditional densities a…
Read the full story at arXiv cs.LG ↗
Timeline · 1 report
- 2026-10-05 04:00 · arXiv cs.LG
$\Psi$-Resilience: Model-Free Feature Importance from 1D Topological Signals