51 citations · 141 across the 13 of their papers we have counts for
3 papers · 1 filter
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning
Dimitrios Tanoglidis, Aleksandra Ćiprijanović, Alex Drlica-Wagner
Searches for low-surface-brightness galaxies (LSBGs) in galaxy surveys are plagued by the presence of a large number of artifacts (e.g., objects blended in the diffuse light from s…
Domain adaptation techniques for improved cross-domain study of galaxy mergers
A. Ćiprijanović, D. Kafkes, S. Jenkins +5
In astronomy, neural networks are often trained on simulated data with the prospect of being applied to real observations. Unfortunately, simply training a deep neural network on i…
DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks
A. Ćiprijanović, G. F. Snyder, B. Nord +1
We investigate and demonstrate the use of convolutional neural networks (CNNs) for the task of distinguishing between merging and non-merging galaxies in simulated images, and for…