Nils Thuerey
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126
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2026
On the Generalization in Topology Optimization via Sensitivity-Conditioned Bernoulli Flow Matching
The paper proposes using pseudo-sensitivities, derived from adjoint sensitivity fields, as an optimal conditioning signal in a Bernoulli flow-matching framework to significantly improve the out-of-distribution generalization of topology optimization surrogate models.
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