The paper states that a learned two-dimensional AEVB encoder can project MNIST and Frey Face observations into a low-dimensional latent space; Figure 4 itself shows grids of decoded model outputs p_theta(x|z) at inverse-Gaussian-CDF-transformed latent coordinates, not plotted encoded datapoint projections.

The paper states that a learned two-dimensional AEVB encoder can project MNIST and Frey Face observations into a low-dimensional latent space; Figure 4 itself shows grids of decoded model outputs p_theta(x|z) at inverse-Gaussian-CDF-transformed latent coordinates, not plotted encoded datapoint projections. · CiteArk

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