Normalizing flows are a powerful technique for obtaining reparameterizab...
Reparameterizable densities are an important way to learn probability
di...
When doing representation learning on data that lives on a known non-tri...
The manifold hypothesis states that many kinds of high-dimensional data ...
The Variational Auto-Encoder (VAE) is one of the most used unsupervised
...