Identifiability Guarantees for Drivers and Dynamics of Delayed Physical Systems
A wide range of methods have been proposed, including physics-informed neural networks, which are powerful but do not guarantee identifiability of the dynamics, symbolic regression, which requires a set of precomputed operations, and causal discovery, which is more principled but usually relies on strong assumptions th...
Julien Boussard, Antoine Debouchage, Théo Saulus
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