Identifying ODEs from Unstructured Data with Causal Representation Learning
We study the problem of recovering the governing ODE of a dynamical system from unstructured, high-dimensional observations such as images. Existing methods for ODE discovery typically assume direct measurements of the variables, or do not provide theoretical guarantees on the learned variables and equations. While Cau...
Alessandro Trenta, Riccardo Massidda, D. Bacciu et al.
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