Deep Errors-in-Variables using a diffusion model
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DOI: 10.1007/s10994-025-06744-x
Abstract: Errors-in-Variables is the statistical concept used to explicitly model input variable errors caused, for example, by noise. While it has long been known in statistics that not accounting for such errors can produce a substantial… read more here.
Keywords: deep errors; prediction performance; diffusion model; errors variables ... See more keywords