Carl Julius Martensen

Julius is currently a PhD candidate at the Otto-von-Guericke University in Magdeburg and an Intern at Pumas-AI. His research evolves around data-driven system identification using scientific machine learning.

Talks:

17:30 UTC

How to recover models from data using DataDrivenDiffEq.jl

07/29/2022, 5:30 PM6:00 PM UTC
Blue

In this talk, we will address the problem of data-driven estimation and approximation of completely or partially unknown systems using DataDrivenDiffEq.jl. We will start by giving a short introduction to the field of symbolic regression in general followed by an example of its practical use. Here we learn how to (a) set up a DataDrivenProblem, (b) use ModelingToolkit.jl to incorporate prior knowledge, (c) use different algorithms to recover the underlying equations.

Platinum sponsors

Julia ComputingRelational AIJulius Technology

Gold sponsors

IntelAWS

Silver sponsors

Invenia LabsBeacon BiosignalsMetalenzASMLG-ResearchConningPumas AIQuEra Computing Inc.Jeffrey Sarnoff

Media partners

Packt PublicationGather TownVercel

Community partners

Data UmbrellaWiMLDS

Fiscal Sponsor

NumFOCUS