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UID:pretalx-juliacon-2025-EJSMQD@pretalx.com
DTSTART;TZID=EST:20250723T150000
DTEND;TZID=EST:20250723T151000
DESCRIPTION:We present OptimalUncertaintyQuantification.jl: A SciML package
  for end-to-end distributionally robust uncertainty quantification of stat
 ic and dynamic systems models. The tool performs a worst-case analysis so 
 as to make certification/decertification decisions on engineering models d
 efined in ModelingToolkit.jl as demonstrated on a variety of aerospace and
  structural engineering applications.
DTSTAMP:20260721T163745Z
LOCATION:Cathedral Room 324 - Else Room
SUMMARY:Optimal Uncertainty Quantification of SciML Models - Chris Rackauck
 as\, Adam R. Gerlach\, Avinash Subramanian\, Benjamin Chung\, Alexander Vo
 n Moll
URL:https://pretalx.com/juliacon-2025/talk/EJSMQD/
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