Neural EBSD models EBSD data as continuous 4D fields with joint and factorized neural formulations, achieving sub-1% reconstruction error and high compression while supporting continuous analysis.
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A non-asymptotic bound on compression error for signal parameterizations derived from differences in predictions at varying compression levels, verified empirically across fitting and inverse problems.
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Bounding Global and Local Compression Error of Signal Parameterizations
A non-asymptotic bound on compression error for signal parameterizations derived from differences in predictions at varying compression levels, verified empirically across fitting and inverse problems.