Learning COVID-19 Regional Transmission Using Universal Differential Equations in a SIR model. - Adrian Rojas Campos; Lukas Stelz; Pascal Nieters (CoRR, 2023)

Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks. - Shuai Han; Lukas Stelz; Horst Stoecker; Lingxiao Wang 006; Kai Zhou (J. Frankl. Inst., 2024)

Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting. - Shuai Han; Lukas Stelz; Thomas R. Sokolowski; Kai Zhou; Horst Stöcker (CoRR, 2025)