47 citations · 60 across the 5 of their papers we have counts for
5 papers
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…
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…
Path Planning for Optimal Coverage of Areas with Nonuniform Importance
Gregory Snyder, Sachin Shriwastav, Dylan Morrison-Fogel +1
Coverage of an inaccessible or challenging region with potential health and safety hazards, such as in a volcanic region, is difficult yet crucial from scientific and meteorologica…
Dynamic Compressed Sensing of Unsteady Flows with a Mobile Robot
Sachin Shriwastav, Gregory Snyder, Zhuoyuan Song
Large-scale environmental sensing with a finite number of mobile sensors is a challenging task that requires a lot of resources and time. This is especially true when features in t…
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…