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cs.LG2026
A Function-Space Stability Boundary for Generalization in Interpolating Learning Systems
Ronald Katende
Modern learning systems often interpolate training data while still generalizing well, yet it remains unclear when algorithmic stability explains this behavior. We model training a…
cs.LG2026
A Unified Matrix-Spectral Framework for Stability and Interpretability in Deep Learning
Ronald Katende
We develop a unified matrix-spectral framework for analyzing stability and interpretability in deep neural networks. Representing networks as data-dependent products of linear oper…