Uncertainty Quantification for Distribution-to-Distribution Flow Matching in Scientific Imaging
Uncertainty Quantification for Distribution-to-Distribution Flow Matching in Scientific Imaging explores A unified framework for uncertainty quantification in generative models for scientific imaging, improving reliability and detecting out-of-distribution cases.. Commercial viability score: 4/10 in Generative Models.
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