Sparse linear ODEs are unidentifiable with positive probability from single trajectories in relevant sparsity regimes, supported by lower bounds and empirical evidence that estimation methods fail to recover unique parameters.
Neural structure learning with stochastic differential equations
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Identifiability Challenges in Sparse Linear Ordinary Differential Equations
Sparse linear ODEs are unidentifiable with positive probability from single trajectories in relevant sparsity regimes, supported by lower bounds and empirical evidence that estimation methods fail to recover unique parameters.