Finite linear measurements in variational neural discretizations cause ill-posed discrete problems with non-unique minimizers, independent of the underlying continuous variational problem's well-posedness.
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Non-Uniqueness of Solutions in Neural Variational Methods
Finite linear measurements in variational neural discretizations cause ill-posed discrete problems with non-unique minimizers, independent of the underlying continuous variational problem's well-posedness.