Main results of the NEAT-VAE: (panel a) feature A, (panel b) feature B and (panel c) feature C are the most significant representations of the input data. Left panels: posterior mean, right panels: posterior variance. The NEAT-VAE was trained to reduce the spectral information of 35 Galactic all-sky maps to ten features in the latent space with the configuration described in Fig. 2. We show the three most important feature maps in descending order of significance according to Eq. (10). The colors in the posterior mean of feature C (left panel in (c)) were inverted for illustration purposes. The gray pixels correspond to missing values in the input data.