Beta-tree partitions enable a multivariate GOF test with finite-sample CI for region probabilities to detect local deviations and aid mixture component selection.
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x-prediction maintains manifold adherence during training-free diffusion guidance better than ε- or v-prediction, per theoretical analysis and experiments on bird classification and style transfer.
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Beta-trees for testing multivariate goodness-of-fit and localizing deviations from a model
Beta-tree partitions enable a multivariate GOF test with finite-sample CI for region probabilities to detect local deviations and aid mixture component selection.