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The frontier of simulation-based inference.
Proceedings of the National Academy of Sciences of the United States of America ( IF 9.4 ) Pub Date : 2020-12-01 , DOI: 10.1073/pnas.1912789117
Kyle Cranmer 1, 2 , Johann Brehmer 2, 3 , Gilles Louppe 4
Affiliation  

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 additional momentum to the field. Finally, we describe how the frontier is expanding so that a broad audience can appreciate the profound influence these developments may have on science.



中文翻译:

基于仿真的推理的前沿。

许多科学领域已经开发出复杂的模拟来描述感兴趣的现象。尽管这些仿真提供了高保真模型,但它们不适合进行推理,并导致具有挑战性的逆问题。我们回顾了基于模拟的推理快速发展的领域,并确定了为该领域提供更多动力的力量。最后,我们描述了边界是如何扩展的,以便广大读者可以欣赏这些发展可能对科学产生的深远影响。

更新日期:2020-12-02
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