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Learning Hidden Ecological and Epidemic Processes in a Reduced-Order Space
We study data-driven learning of ecological and epidemic dynamics governed by nonlinear reaction and reaction--diffusion systems. We consider both neural approaches for learning the underlying reaction dynamics from trajectory data and Sparse Identification of Nonlinear Dynamics (SINDy) for discover
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