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Maximizing $L_p$-norms over zonotopes is W[1]-hard for all fixed rational $p \in (1, \infty)$, revealing deep computational challenges in neural network sensitivity analysis.
Enforcing convexity in neural networks can lead to exponential increases in size without improving expressiveness.
