2024
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations
AISTATS 2024poster
Estimating the parameters of ordinary differential equations (ODEs) is of fundamental importance in many scientific applications. While ODEs are typically approximated with deterministic algorithms, new research on probabilistic solvers indicates that they produce more reliable parameter estimates b…