A β-VAE-GAN plus sensor-conditioned Transformer with Easy Attention forecasts near-wall turbulence in the Minimal Flow Unit, recovering 87% turbulent kinetic energy in 4D latent space and maintaining accuracy over 17288 t+ from 128 t+ initialization while reconstructing 82% TKE end-to-end.
On interpretability and proper latent decomposition of autoencoders.arXiv preprint arXiv:2211.08345, 2022
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A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit
A β-VAE-GAN plus sensor-conditioned Transformer with Easy Attention forecasts near-wall turbulence in the Minimal Flow Unit, recovering 87% turbulent kinetic energy in 4D latent space and maintaining accuracy over 17288 t+ from 128 t+ initialization while reconstructing 82% TKE end-to-end.