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Author

Ahanaf Hasan Ariq

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Preprint Oct 2026

World Models Need Not Be Right to Rank Policies Right: Relative Bounds and Audit Limits

Selecting a reinforcement-learning (RL) policy usually requires additional environment interaction, while learned world models offer cheap but potentially biased evaluations. This raises two distinct questions: can shared model errors preserve pairwise rankings despite poor absolute values, and do they make a small num...

Ahanaf Hasan Ariq, Hasaan Ahmad · 0 citations
#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

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