Data-Driven Performance Measures using Global Properties of Attractors for Black-Box Surrogate Models of Chaotic Systems
Year: 2025
Type: article
Abstract: The simulation data is provided via Zenodo: data.zip - the data needed to use the measures results.zip - the simulation data from the paper The Github Repository for the Paper "Data-Driven Performance Measures using Global Properties of Attractors for Testing Black-Box Surrogate Models of Chaotic Systems" inlucdes: Data generating script Code for Measures Script for Figures Easy introduction script on how to use the measures called how_to_use_measures.ipynb For just playing arround with the measures, you can only download the data.zip, download code from git and run how_to_use_measures.ipynb. results.zip is only needed to recreate the results from the paper. Unzip them in the Github Repository root folder.
Author: Fumagalli, Luci
Institution: Technische Universität Ilmenau
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Funder: Carl-Zeiss-Stiftung
OpenAlex ID: W6912167955
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