Abstract: Subset selection has been widely studied but remains underexplored for synthetic tabular data, particularly in data sharing contexts that require high quality data. While generative models ...
Abstract: Structural identifiability concerns the question of which unknown parameters of a model can be recovered from (perfect) input–output (IO) data. If all of the parameters of a model can be ...
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