1 citations · 2 across the 3 of their papers we have counts for
3 papers
Toward Complete Merger Identification at Cosmic Noon with Deep Learning
Aimee Schechter, Aleksandra Ciprijanovic, Rebecca Nevin +4
As we enter the era of large imaging surveys such as , Rubin, and , a deeper understanding of potential biases and selection effects in optical ast…
Beyond the Brightest: A Deep Learning Approach to Identifying Major and Minor Galaxy Mergers in CANDELS at
Aimee L. Schechter, Aleksandra Ćiprijanović, Xuejian Shen +5
Galaxy mergers play an important role in galaxy evolution. Therefore, accurate merger identifications are paramount for achieving a complete understanding of how galaxies evolve. A…
DeepUQ: Assessing the Aleatoric Uncertainties from two Deep Learning Methods
Rebecca Nevin, Aleksandra Ćiprijanović, Brian D. Nord
Assessing the quality of aleatoric uncertainty estimates from uncertainty quantification (UQ) deep learning methods is important in scientific contexts, where uncertainty is physic…