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...