Warren R. Morningstar

Author

Also Known As

Morningstar, W, Morningstar, Warren, Morningstar, Warren R, Morningstar, Warren R., Morningstar, Warren Richard, W. Morningstar, W. R. Morningstar, Warren Morningstar, Warren R. Morningstar, Warren Richard Morningstar

Publications

797

Citations

H-Index

Concepts

All Affiliations

University of Arizona Kavli Institute for Particle Astrophysics and Cosmology Stanford University Flatiron Health (United States)University of Illinois Urbana-Champaign

About

Warren R. Morningstar is an author at University of Arizona specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	545
2	Computer Science	3	3	50
3	Management	1	1	12
4	Natural Sciences	1	1	24
5	Biostatistics	1	1	14

Warren R. Morningstar

Publications

774

Citations

H-Index

Page 1

	Year	Citations
Galaxy growth in a massive halo in the first billion years of cosmic history Daniel P. Marrone, Justin Spilker, Christopher C. Hayward, Nature Galaxy FormationPhotometryEngineeringCosmologyGalaxy Growth	2017	226
A massive core for a cluster of galaxies at a redshift of 4.3 Tim B. Miller, S. C. Chapman, Manuel Aravena, Nature Galaxy FormationPhotometryEngineeringPhysicsCosmology	2018	206
GLOBULAR CLUSTER SYSTEMS IN BRIGHTEST CLUSTER GALAXIES: A NEAR-UNIVERSAL LUMINOSITY FUNCTION? William E. Harris, Warren R. Morningstar, Oleg Y. Gnedin, The Astrophysical Journal	2014	92
Fast molecular outflow from a dusty star-forming galaxy in the early Universe Justin Spilker, Manuel Aravena, M. Béthermin, Science	2018	82
Data-driven Reconstruction of Gravitationally Lensed Galaxies Using Recurrent Inference Machines Warren R. Morningstar, Laurence Perreault-Levasseur, Yashar Hezaveh, The Astrophysical Journal EngineeringMachine LearningImage AnalysisDifferentiable RenderingData Science	2019	63
THE SPIN OF THE BLACK HOLE 4U 1543-47 Warren R. Morningstar, J. M. Mïller The Astrophysical Journal Letters	2014	28
Analyzing interferometric observations of strong gravitational lenses with recurrent and convolutional neural networks Warren R. Morningstar, Yashar Hezaveh, Laurence Perreault-Levasseur, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningNumerical RelativityDeblurring	2018	24
A SEYFERT-2-LIKE SPECTRUM IN THE HIGH-MASS X-RAY BINARY MICROQUASAR V4641 SGR Warren R. Morningstar, J. M. Mïller, M. T. Reynolds, The Astrophysical Journal Letters	2014	14
Density of States Estimation for Out-of-Distribution Detection Warren R. Morningstar, Cusuh Ham, Andrew Gallagher, arXiv (Cornell University) Anomaly DetectionMachine LearningEngineeringRare Event EstimationLocalization	2020	14
Source Structure and Molecular Gas Properties from High-resolution CO Imaging of SPT-selected Dusty Star-forming Galaxies Chenxing Dong, Justin Spilker, Anthony H. Gonzalez, The Astrophysical Journal	2019	13

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