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A unified framework for 21cm tomography sample generation and parameter
  inference with Progressively Growing GANs

A unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANs

19 February 2020
Florian List
G. Lewis
ArXivPDFHTML

Papers citing "A unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANs"

3 / 3 papers shown
Title
deep21: a Deep Learning Method for 21cm Foreground Removal
deep21: a Deep Learning Method for 21cm Foreground Removal
T. Lucas Makinen
Lachlan Lancaster
F. Villaescusa-Navarro
Peter Melchior
S. Ho
Laurence Perreault Levasseur
D. Spergel
3DPC
30
28
0
29 Oct 2020
AI-assisted super-resolution cosmological simulations
AI-assisted super-resolution cosmological simulations
Yin Li
Y. Ni
R. Croft
T. Di Matteo
Simeon Bird
Yu Feng
10
46
0
13 Oct 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
306
10,378
0
12 Dec 2018
1