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UID:pretalx-juliacon-2026-HQJMLW@pretalx.com
DTSTART;TZID=CET:20260813T124500
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DESCRIPTION:We present a Bayesian calibration framework built on `Turing.jl
 ` for statistically rigorous data assimilation. To scale inference with Ga
 ussian Processes\, we employ a Bayesian Committee Machine approach\, and e
 xploit parallelism across both CPU and GPU backends.\nWe demonstrate the f
 ramework on both analytical and real-world data from accelerator physics\,
  highlighting speedups. \nThe result is a practical\, flexible toolkit des
 igned for rapid model updating and calibration.
DTSTAMP:20260502T115828Z
LOCATION:Room 2
SUMMARY:Bayesian Calibration using Turing.jl: A Flexible Framework for Expe
 rimental Data Assimilation - Sebastian Heinekamp
URL:https://pretalx.com/juliacon-2026/talk/HQJMLW/
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