2024
Identifiability Analysis of Linear ODE Systems with Hidden Confounders
NeurIPS 2024poster
The identifiability analysis of linear Ordinary Differential Equation (ODE) systems is a necessary prerequisite for making reliable causal inferences about these systems. While identifiability has been well studied in scenarios where the system is fully observable, the conditions for identifiability…