Search papers, labs, and topics across Lattice.
Affiliation:
3
0
5
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.
A novel curation pipeline can optimize regression evaluation sets by maximizing capability coverage while adhering to strict query limits.
Robust generalization isn't as hard as you think: it only tweaks, rather than revolutionizes, the Lipschitz constant needed for smooth interpolation.
