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HSE University, University of Duisburg-Essen
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Finite-sample guarantees reveal how localized conformal prediction can significantly reduce miscalibration while preserving coverage.
GFlowNets can be harnessed to learn optimal transport plans, bridging the gap between generative modeling and optimal transport theory.
