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

Understand

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 therefore poses a significant challenge for generative models.
• In cosmology, the large-scale, three-dimensional matter distribution, modeled with N-body simulations, plays a crucial role in understanding the evolution of the universe.