Abstract
Differerntiable model optimization is an approach for solving inverse problems where the forward process is known and deterministic. We employ this approach for wave-front sensing for adaptive optics and other similar problems, such as tracking the identity of multiple indistinguishable objects.
© 2023 The Author(s)
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