AI RESEARCH
Epistemic Generative Adversarial Networks
arXiv CS.LG
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ArXi:2603.18348v1 Announce Type: new Generative models, particularly Generative Adversarial Networks (GANs), often suffer from a lack of output diversity, frequently generating similar samples rather than a wide range of variations. This paper