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cs.LG2025
Revisiting GAN with Bayes-Optimal Discrimination
Mohammadreza Tavasoli Naeini, Ali Bereyhi, Morteza Noshad +2
We approach generative adversarial network (GAN) training from its original real-versus-fake classification viewpoint, replacing the cross-entropy discriminator objective with an u…
cs.LG2025
BOLT: Universal Classifier Training via a Bayes-Error Upper Bound
Mohammadreza Tavasoli Naeini, Ali Bereyhi, Morteza Noshad +2
This work introduces a novel approach to compute a universal upper bound on the Bayes error rate (BER) from classifier-output samples, which serves as a Bayes-error-related perform…