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Preethi Wilson G

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Open access Jul 2026

CONDITION NUMBER-AWARE PRUNING: PRESERVING MATHEMATICAL STABILITY IN SPARSE NEURAL NETWORKS

This paper proposes a condition number-aware pruning framework that explicitly preserves mathematical stability during the pruning process, and significantly improves both standard accuracy and adversarial robustness compared to conventional pruning methods.

Jeromy R, K Bhavani, K.Mohana Lakshmi et al. · 0 citations