Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale

8 Jul 2019Atılım Güneş BaydinLei ShaoWahid BhimjiLukas HeinrichLawrence MeadowsJialin LiuAndreas MunkSaeid NaderipariziBradley Gram-HansenGilles LouppeMingfei MaXiaohui ZhaoPhilip TorrVictor LeeKyle CranmerPrabhatFrank Wood

Probabilistic programming languages (PPLs) are receiving widespread attention for performing Bayesian inference in complex generative models. However, applications to science remain limited because of the impracticability of rewriting complex scientific simulators in a PPL, the computational cost of inference, and the lack of scalable implementations... (read more)

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