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Found 2 papers, 1 papers with code
$β$-Variational autoencoders and transformers for reduced-order modelling of fluid flows
Variational autoencoder (VAE) architectures have the potential to develop reduced-order models (ROMs) for chaotic fluid flows.
Super-resolution GANs of randomly-seeded fields
This task is particularly challenging when the mapping between sparse measurements and field quantities is performed in an unsupervised manner.
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