2 papers
q-bio.QM2026
PEtab SciML: an exchange format for specifying and training dynamic scientific machine learning models
Sebastian Persson, Branwen Snelling, Maren Philipps +5
Summary: Dynamic scientific machine learning (SciML) models that combine mechanistic ordinary differential equations (ODEs) with machine learning (ML) components have applications…
q-bio.QM2024
Non-Negative Universal Differential Equations With Applications in Systems Biology
Maren Philipps, Antonia Körner, Jakob Vanhoefer +2
Universal differential equations (UDEs) leverage the respective advantages of mechanistic models and artificial neural networks and combine them into one dynamic model. However, th…