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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)
Verlagsversion DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
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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Publikationstyp Artikel: Konferenzbeitrag
Korrespondenzautor
Schlagwörter 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
Konferenztitel 10th IFAC Conference on Foundations of Systems Biology in Engineering, FOSBE 2024
Konferzenzdatum 8-11 September 2024
Konferenzort Corfu Island
Zeitschrift IFAC-PapersOnLine
Quellenangaben Band: 58, Heft: 23, Seiten: 25-30 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort Frankfurt ; München [u.a.]
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
Förderungen 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