November 27, 2018
Neural Separation of Observed and Unobserved Distributions
In this work, we tackle the scenario of extracting an unobserved distribution additively mixed with a signal from an observed (arbitrary) distribution. We introduce a new method: Neural Egg Separation – an iterative method that learns to separate the known distribution from progressively finer estimates of the unknown distribution.
By: Tavi Halperin, Ariel Ephrat, Yedid Hoshen
Facebook AI Research