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    On the Optimality of Generative Adversarial Networks — A Variational Perspective 

    Asokan, Siddarth
    Generative adversarial networks (GANs) are a popular learning framework to model the underlying distribution of images. GANs comprise a min-max game between the generator and the discriminator. While the generator transforms ...

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    Author
    Asokan, Siddarth (1)
    SubjectContrastive learning (1)
    Deep Learning (1)
    Fourier analysis (1)Generative adversarial networks (1)Generative Modeling (1)High-dimensional Interpolation (1)Kernel-based flows (1)Machine Learning (1)Optimization (1)Score-based generative models (1)... View MoreHas File(s)Yes (1)

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