Podcasts Technology The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Masked Autoregressive Flow for Density Estimation with George Papamakarios - TWiML Talk #145

Masked Autoregressive Flow for Density Estimation with George Papamakarios - TWiML Talk #145

Published: May 28, 2018, 7:20 p.m.

b'In this episode, University of Edinburgh Phd student George Papamakarios and I discuss his paper \\u201cMasked Autoregressive Flow for Density Estimation.\\u201d George walks us through the idea of Masked Autoregressive Flow, which uses neural networks to produce estimates of probability densities from a set of input examples. We discuss some of the related work that\\u2019s laid the groundwork for his research, including Inverse Autoregressive Flow, Real NVP and Masked Auto-encoders. We also look at the properties of probability density networks and discuss some of the challenges associated with this effort. The notes for this show can be found at twimlai.com/talk/145.'