most citedReconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network

11 citations · 23 across the 5 of their papers we have counts for

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cs.LG2024

Inferring stability properties of chaotic systems on autoencoders' latent spaces

Elise Özalp, Luca Magri

The data-driven learning of solutions of partial differential equations can be based on a divide-and-conquer strategy. First, the high dimensional data is compressed to a latent sp…

cs.LG2024★ 11 cited

Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental Data

Yaxin Mo, Tullio Traverso, Luca Magri

Turbulent flows are chaotic and multi-scale dynamical systems, which have large numbers of degrees of freedom. Turbulent flows, however, can be modelled with a smaller number of de…