Author

Muqsit Azeem

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Preprint Aug 2026

Computing Actual Causes for Neural Network Predictions under Structured Causal Inputs

This work formalizes explanations as Halpern-Pearl actual causes, modeling input dependencies using Boolean Structural Causal Models (SCMs), and compute HP causes by applying bound propagation and branch-and-bound techniques, while providing formal guarantees of completeness and minimality.

J. Strobel, Muqsit Azeem, Stefan Leue · 0 citations