AI RESEARCH
Bayesian Nonparametric Mixed-Effect ODEs with Gaussian Processes
arXiv CS.LG
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ArXi:2605.13088v1 Announce Type: new Dynamical modelling is central to many scientific domains, including pharmacometrics, systems biology, physiology, and epidemiology. In these settings, heterogeneity is often intrinsic: different subjects or units follow related but distinct continuous-time dynamics. Classical nonlinear mixed-effects Ordinary Differential Equation (ODE) models address this by combining population-level structure with subject-specific effects, but they rely on a parametric vector field and are. therefore.