2018
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
NeurIPS 2018spotlight
An explosion of high-throughput DNA sequencing in the past decade has led to a surge of interest in population-scale inference with whole-genome data. Recent work in population genetics has centered on designing inference methods for relatively simple model classes, and few scalable general-purpose…