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Structure-Preserving Learning Using Gaussian Processes and Variational Integrators
When using Gaussian process regression to learn unknown systems, a commonly considered approach consists of learning the residual dynamics after applying some generic discretization technique, which might however disregard properties of the underlying physical system.
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