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PRODID:-//pretalx//pretalx.com//juliacon2024//talk//R3HRGW
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UID:pretalx-juliacon2024-R3HRGW@pretalx.com
DTSTART;TZID=CET:20240710T105000
DTEND;TZID=CET:20240710T110000
DESCRIPTION:PiecewiseInference.jl is a novel inverse modelling framework sp
 ecifically designed for the inference of parameters in large\, nonlinear d
 ifferential equation using time series data. It is based on a segmentation
  method together with minibatching. We briefly discuss its building blocks
  and demonstrate its performance with large ecosystem models. PiecewiseInf
 erence.jl is a user-friendly package that significantly simplifies the inf
 erence of parameters in complex dynamical models.
DTSTAMP:20260711T022535Z
LOCATION:While Loop (4.2)
SUMMARY:PiecewiseInference.jl: inverse modelling for complex dynamics - Vic
 tor Boussange
URL:https://pretalx.com/juliacon2024/talk/R3HRGW/
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