README.md

UCLAML Week 2 readings

Introduction to generative adversarial networks and astronomy:

• https://www.nature.com/news/astronomers-explore-uses-for-ai-generated-images-1.21398

Excellent lecture on generative adversarial networks:

• https://channel9.msdn.com/Events/Neural-Information-Processing-Systems-Conference/Neural-Information-Processing-Systems-Conference-NIPS-2016/Generative-Adversarial-Networks

Paper: Generative adversarial networks recover features in astrophysical images of galaxies beyond the deconvolution limit, Schawinski et al. (2017)

• http://adsabs.harvard.edu/abs/2017MNRAS.467L.110S
• arxiv link: https://arxiv.org/abs/1702.00403
• Code from paper: https://github.com/SpaceML/GalaxyGAN_python/