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We present a theoretical analysis of the training process for a single-layer GAN fed by high-dimensional input data.
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S. Feizi, C. Suh, F. Xia, and D. Tse, “Understanding GANs: the LQG Setting,”
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K. Roth, A. Lucchi, S. Nowozin, and T. Hofmann, “Stabilizing Training of Generative Adversarial Networks through Regularization,” in
2025
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