DCTRGAN: Improving the Precision of Generative Models with Reweighting

Sascha Diefenbacher, Engin Eren, Gregor Kasieczka +3

Significant advances in deep learning have led to more widely used and precise neural network-based generative models such as Generative Adversarial Networks (GANs). We introduce a…