Learning suitable latent representations for observed, high-dimensional ...
Reparameterizable densities are an important way to learn probability
di...
The manifold hypothesis states that many kinds of high-dimensional data ...
The Variational Auto-Encoder (VAE) is one of the most used unsupervised
...
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