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UID:pretalx-juliacon-2026-AHVQ3V@pretalx.com
DTSTART;TZID=CET:20260812T144500
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DESCRIPTION:Macroeconomic debt cycles evolve over time through interacting 
 growth\, inflation\, and fiscal pressures. This study compares India\, Sri
  Lanka\, and Argentina using Physics-Informed Neural Networks (PINNs) and 
 Universal Differential Equations (UDEs) to model continuous economic dynam
 ics. By embedding economic structure into neural differential systems\, we
  evaluate their ability to reconstruct national macroeconomic trajectories
  under sparse annual data conditions.
DTSTAMP:20260502T104550Z
LOCATION:Room 6
SUMMARY:Cross-Country Macroeconomic Forecasting Using Physics-Informed Neur
 al Networks and Universal Differential Equations in Julia - Vrishank Sai A
 nand
URL:https://pretalx.com/juliacon-2026/talk/AHVQ3V/
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