Encoding large-scale cosmological structure with generative adversarial networks

HIGHLIGHTS

  • who: Ullmo Marion and colleagues from the Université Paris-Saclay, CNRS, Institut d'Astrophysique Spatiale, Bâtiment , Campus Paris-Sud, Orsay, France Departamento de Física Téorica I, Universidad Complutense, Madrid, Spain have published the Article: Encoding large-scale cosmological structure with generative adversarial networks, in the Journal: (JOURNAL)
  • what: In this respect, this part of the work is an independent confirmation of the studies of Feder et_al on GANs, but introduces simpler and more effective image preprocessing techniques than were used previously. It is therefore important to consider both global and pairwise statistics . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?