A label-conditioned drifting model in VAE latent space matches diffusion accuracy for flow surrogates while running two orders of magnitude faster, with a spatial variant for unseen geometries.
Operator learning for energy-efficient building ventilation control with computational fluid dynamics simulation of a real-world classroom
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Drifting Models for Surrogate Flow Modeling
A label-conditioned drifting model in VAE latent space matches diffusion accuracy for flow surrogates while running two orders of magnitude faster, with a spatial variant for unseen geometries.