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Ahanaf Hasan Ariq

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#machine learning Preprint Oct 2026

Kernelized Parameter Sensitivity Atlases for Amortized Conditional Interpretability

Gradient-based attribution provides input-specific information about model parameters, but computing it via backpropagation for many samples is expensive, while static importance scores discard input dependence. We derive KPSA (Kernelized Parameter Sensitivity Atlas) from a block decomposition of the empirical neural t...

Davide Wiest, Ahanaf Hasan Ariq, Abdul Monaf Chowdhury · 0 citations