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Philipps, M.* ; Körner, A.* ; Vanhoefer, J.* ; Pathirana, D.* ; Hasenauer, J.

Non-negative universal differential equations with applications in systems biology.

In: (10th IFAC Conference on Foundations of Systems Biology in Engineering, FOSBE 2024, 8-11 September 2024, Corfu Island). Frankfurt ; München [u.a.]: Elsevier, 2024. 25-30 (IFAC PapersOnline ; 58)
Publ. Version/Full Text DOI
Open Access Green as soon as Postprint is submitted to ZB.
Universal differential equations (UDEs) leverage the respective advantages of mechanistic models and artificial neural networks and combine them into one dynamic model. However, these hybrid models can suffer from unrealistic solutions, such as negative values for biochemical quantities. We present non-negative UDE (nUDEs), a constrained UDE variant that guarantees non-negative values. Furthermore, we explore regularisation techniques to improve generalisation and interpretability of UDEs.
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Publication type Article: Conference contribution
Corresponding Author
Keywords Kinetic Modelling And Control Of Biological Systems ; Neural Networks ; Parameter And State Estimation ; Parametric Optimization ; Systems Biology; Networks
ISSN (print) / ISBN 2405-8963
e-ISSN 1474-6670
Conference Title 10th IFAC Conference on Foundations of Systems Biology in Engineering, FOSBE 2024
Conference Date 8-11 September 2024
Conference Location Corfu Island
Journal IFAC-PapersOnLine
Quellenangaben Volume: 58, Issue: 23, Pages: 25-30 Article Number: , Supplement: ,
Publisher Elsevier
Publishing Place Frankfurt ; München [u.a.]
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Computational Biology (ICB)
Grants University of Bonn
German Federal Ministry of Education and Research (BMBF) under the CompLS program (GENImmune)
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy