9 Apr 2019
Recently, as an alternative to hand-crafted bijections, Huang et al. (2018) proposed neural autoregressive flow (NAF) which is a universal approximator for density functions.
3 Nov 2017
Modern neural networks tend to be overconfident on unseen, noisy or incorrectly labelled data and do not produce meaningful uncertainty measures.
14 Feb 2018
Modeling complex conditional distributions is critical in a variety of settings.