Cosmological N-body simulations: a challenge for scalable generative models

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While the performance of the generative model can be measured by visual inspection of the generated samples, as commonly done on datasets of natural images, we offer a more principled alternative based on a number of summary statistics that are commonly used in cosmology

Abstract:

Deep generative models, such as Generative Adversarial Networks (GANs) or Variational Autoencoders (VAs) have been demonstrated to produce images of high visual quality. However, the existing hardware severely limits the size of the images that can be generated. The rapid growth of high dimensional data in many fields of science therefo...More

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