Search Results for author:
Found 2 papers, 2 papers with code
Realistic galaxy image simulation via score-based generative models
We show that a Denoising Diffusion Probabalistic Model (DDPM), a class of score-based generative model, can be used to produce realistic mock images that mimic observations of galaxies.
Ranked #1 on
Galaxy emergent property recreation
on SDSS Galaxies
Pix2Prof: fast extraction of sequential information from galaxy imagery via a deep natural language 'captioning' model
In perspective, Pix2Prof would take under an hour to infer profiles for $10^5$ galaxies on a single NVIDIA DGX-2 system.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
