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Generate valid and unique discrete designs in a single forward pass with over $50\times$ the yield per operation compared to prior one-step methods.
Most graph EDL methods fail to reduce epistemic uncertainty with more data, but bootstrap ensembles show promise for consistent uncertainty estimation.
