Encoding large scale cosmological structure with Generative Adversarial Networks

Marion Ullmo, Aurélien Decelle, Nabila Aghanim

Recently a type of neural networks called Generative Adversarial Networks (GANs) has been proposed as a solution for fast generation of simulation-like datasets, in an attempt to b…