Abdallah Khemais

Removing certain components from a neural network can yield the same output as patching them, but only under specific symmetrical conditions—revealing critical insights into causal relationships in model behavior.

A closed-form Jacobian bound reveals complex cross-layer interactions that challenge existing models of neural network behavior.