10 citations · 13 across the 2 of their papers we have counts for
3 papers
astro-ph.GA2021★ 3 cited
Robustness of deep learning algorithms in astronomy -- galaxy morphology studies
A. Ćiprijanović, D. Kafkes, G. N. Perdue +6
Deep learning models are being increasingly adopted in wide array of scientific domains, especially to handle high-dimensionality and volume of the scientific data. However, these…
math.OC2021★ 10 cited
Koopman Operator Theory for Nonlinear Dynamic Modeling using Dynamic Mode Decomposition
Gregory Snyder, Zhuoyuan Song
The Koopman operator is a linear operator that describes the evolution of scalar observables (i.e., measurement functions of the states) in an infinitedimensional Hilbert space. Th…
astro-ph.IM2021
DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains
A. Ćiprijanović, D. Kafkes, K. Downey +6
In astronomy, neural networks are often trained on simulation data with the prospect of being used on telescope observations. Unfortunately, training a model on simulation data and…