A distributionally robust ODE learning framework for heterogeneous systems that uses worst-case optimization over convex derivative combinations to produce a stabilized weighted estimator with theoretical guarantees.
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Robust Learning of Heterogeneous Dynamic Systems
A distributionally robust ODE learning framework for heterogeneous systems that uses worst-case optimization over convex derivative combinations to produce a stabilized weighted estimator with theoretical guarantees.