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UID:pretalx-juliacon2024-UKB7XN@pretalx.com
DTSTART;TZID=CET:20240712T115000
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DESCRIPTION:Probabilistic Programming Languages (PPLs) aim to shield users 
 from the complex mechanics of Bayesian inference. GraphPPL has previously 
 been introduced as the PPL of RxInfer.jl. GraphPPL uses Julia's metaprogra
 mming functionality to transform high-level user code into correct Julia s
 yntax. In the newest release of GraphPPL\, users can use any GraphPPL mode
 l as a submodel in larger models\, introducing modularity into probabilist
 ic programming.
DTSTAMP:20260608T030838Z
LOCATION:For Loop (3.2)
SUMMARY:What's new with GraphPPL.jl? - Dmitry Bagaev\, Wouter Nuijten
URL:https://pretalx.com/juliacon2024/talk/UKB7XN/
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