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Review Open access Sep 2026

Flow-variational auto-encoder for the data augmentation of the Horizon-AGN dual-AGN dataset

A variational auto-encoder (VAE) with a normalising flow is constructed, developing a specific training loss function for the VAE in both the direct and Fourier spaces, which has enabled the construction of the small-scale and thin features associated with the gravitational interaction between merging galaxies like tid...

C. Mahé, H. Bretonnière, E. Slezak · 0 citations

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