AI RESEARCH
CONTRA: Conformal Prediction Region via Normalizing Flow Transformation
arXiv CS.LG
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ArXi:2605.08561v1 Announce Type: cross Density estimation and reliable prediction regions for outputs are crucial in supervised and unsupervised learning. While conformal prediction effectively generates coverage-guaranteed regions, it struggles with multi-dimensional outputs due to reliance on one-dimensional nonconformity scores. To address this, we