Integrating Kolmogorov-Arnold networks with ordinary differential equations for efficient, interpretable, and robust deep learning: Epidemiology of infectious diseases as a case study
| dc.contributor.author | Ma Kexin | |
| dc.contributor.author | Lu Xu | |
| dc.contributor.author | Bragazzi Nicola Luigi | |
| dc.contributor.author | Selzer Dominik | |
| dc.contributor.author | Lehr Thorsten | |
| dc.contributor.author | Tang Biao | |
| dc.date.accessioned | 2026-06-06T06:36:03Z | |
| dc.date.issued | 2026-6 | |
| dc.identifier.doi | 10.1016/j.idm.2025.12.006 | |
| dc.identifier.uri | https://pubs.cidrz.org/handle/123456789/12867 | |
| dc.identifier.uri.pubmed | https://doi.org/10.1016/j.idm.2025.12.006 | |
| dc.source | Infectious Disease Modelling | |
| dc.title | Integrating Kolmogorov-Arnold networks with ordinary differential equations for efficient, interpretable, and robust deep learning: Epidemiology of infectious diseases as a case study |
