Machine Learning, Neural Networks, Neurips 2018.
treated as a continuous function, the parameters associated with it are automatically tied together, thus making the number of parameters less. Scalable and invertible normalizing flows: This is one unintended benefit from having a continuous transformation as the “change of variables” formula