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SALTO: Solver-Anchored Lifted Transfer Operators for Nonlinear Event Inference
Learned dynamical models can accurately predict trajectories while producing unreliable sensitivities when differentiated or transposed, limiting their use in inverse problems and scientific decision-making. Classical adjoints provide exact local derivatives, but a single adjoint cannot represent th
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