A Class of R\'enyi-based Concentration Metrics for Kolmogorov-Arnold Geometry in Multilayer Perceptrons
arXiv:2610.23267v1 Announce Type: cross Abstract: The interpretability of artificial intelligence models has become a central concern, especially for black-box models such as multilayer perceptrons (MLPs). Kolmogorov-Arnold Geometry has recently emerged as a framework for analysing the internal rep…
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- 2026-10-19 04:00 · arXiv stat.ML
A Class of R\'enyi-based Concentration Metrics for Kolmogorov-Arnold Geometry in Multilayer Perceptrons