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DTSTART:20241103T020000
RDATE:20251102T020000
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SUMMARY:Exploring acasual model augmentation with neural networks - Fredri
 k Bagge Carlson\, Sebastian Micluța-Câmpeanu
DTSTART;TZID=America/New_York:20250725T133000
DTEND;TZID=America/New_York:20250725T140000
DTSTAMP:20261012T115438Z
UID:pretalx-juliacon-2025-X8PS8Q@pretalx.com
DESCRIPTION:Universal Differential Equations (or UDEs for short) have emer
 ged as a novel way to integrate information\nfrom experimental data into m
 echanistic models. One of the most important questions when using UDEs\nis
  what equations to modify in order to add the effects of a neural network.
  In this talk we will\nexplore what kind of corrections we can make based 
 on the architecture of the UDE.
LOCATION:Lawrence Room 104 - Function Room
URL:https://pretalx.com/juliacon-2025/talk/X8PS8Q/
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