3 citations · 6 across the 6 of their papers we have counts for
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astro-ph.IM2018
Deep Learning at Scale for the Construction of Galaxy Catalogs in the Dark Energy Survey
Asad Khan, E. A. Huerta, Sibo Wang +3
The scale of ongoing and future electromagnetic surveys pose formidable challenges to classify astronomical objects. Pioneering efforts on this front include citizen science campai…
cs.DC2018
Supporting High-Performance and High-Throughput Computing for Experimental Science
E. A. Huerta, Roland Haas, Shantenu Jha +2
The advent of experimental science facilities-instruments and observatories, such as the Large Hadron Collider, the Laser Interferometer Gravitational Wave Observatory, and the upc…
cs.LG2018
Real-time regression analysis with deep convolutional neural networks
E. A. Huerta, Daniel George, Zhizhen Zhao +1
We discuss the development of novel deep learning algorithms to enable real-time regression analysis for time series data. We showcase the application of this new method with a tim…