2019/11/04 by Kyle Cranmer, Johann Brehmer, Gilles Louppe · 1 voice · 3 citations
Mathematics · Computer Science · #stat.ML #cs.LG #stat.ME
paper · pdf · doi:10.1073/pnas.1912789117
arxiv published 2019/11/04 · arxiv updated 2020/04/02
Many domains of science have developed complex simulations to describe phenomena of interest. While these simulations provide high-fidelity models, they are poorly suited for inference and lead to challenging inverse problems. We review the rapidly developing field of simulation-based inference and identify the forces giving new momentum to the field. Finally, we describe how the frontier is expanding so that a broad audience can appreciate the profound change these developments may have on science.