Ronald Katende

collaborators

2 papers

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…

math.NA2025

Structured Variational $D$ -Decomposition for Accurate and Stable Low-Rank Approximation

Ronald Katende

We introduce the $D$ -decomposition, a non-orthogonal matrix factorization of the form $A \approx P D Q$ , where $P \in R^{n \times k}$ , $D \in R^{k \times k}$ , and…

A Unified Matrix-Spectral Framework for Stability and Interpretability in Deep Learning

Structured Variational D-Decomposition for Accurate and Stable Low-Rank Approximation

Structured Variational $D$ -Decomposition for Accurate and Stable Low-Rank Approximation