Caglar Guerbuez

On the Generalization in Topology Optimization via Sensitivity-Conditioned Bernoulli Flow Matching

Surrogate models for topology optimization (TO) exhibit highly variable out-of-distribution (OOD) generalization under distribution shifts such as changing loads or boundary conditions, yet the source of this variability remains unclear. We hypothesize that OOD performance is governed by how much in…