Gaussianization is a simple generative model that can be trained without...
Maximum likelihood training has favorable statistical properties and is
...
We propose a "learning to reject" framework to address the problem of si...
Coupling-based normalizing flows (e.g. RealNVP) are a popular family of
...
It is well known that over-parametrized deep neural networks (DNNs) are ...
Training neural networks involves finding minima of a high-dimensional
n...