Appendices from DDE-Find: learning delay differential equations from noisy, limited data

This file contains four appendices including a proof of theorem 1, a discussion on how we evaluate the loss function, an ablation study comparing various DDE solvers, and results from additional experiments

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28439694.v1
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Appendices from DDE-Find: learning delay differential equations from noisy, limited data

Figshare
Model Reduction and Neural Networks
article

Appendices from DDE-Find: learning delay differential equations from noisy, limited data

article en

Abstract

This file contains four appendices including a proof of theorem 1, a discussion on how we evaluate the loss function, an ablation study comparing various DDE solvers, and results from additional experiments

Figshare
Openalex Percentile: Top 56%
Model Reduction and Neural Networks
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Appendices from DDE-Find: learning delay differential equations from noisy, limited data · Figshare (2025) | TGRS Research Map | TGRS