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math.OC2024
Neural Network Approaches for Parameterized Optimal Control
Deepanshu Verma, Nick Winovich, Lars Ruthotto +1
We consider numerical approaches for deterministic, finite-dimensional optimal control problems whose dynamics depend on unknown or uncertain parameters. We seek to amortize the so…
cs.LG2024
Differential Equations for Continuous-Time Deep Learning
Lars Ruthotto
This short, self-contained article seeks to introduce and survey continuous-time deep learning approaches that are based on neural ordinary differential equations (neural ODEs). It…