Ryan Riegel
Title
Cited by
Cited by
Year
Efficient photometric selection of quasars from the Sloan Digital Sky Survey. II.∼ 1, 000, 000 quasars from Data Release 6
GT Richards, AD Myers, AG Gray, RN Riegel, RC Nichol, RJ Brunner, ...
The Astrophysical Journal Supplement Series 180 (1), 67, 2008
3542008
Quasar classification using color and variability
CM Peters, GT Richards, AD Myers, MA Strauss, KB Schmidt, Ž Ivezic, ...
The Astrophysical Journal 811 (2), 95, 2015
702015
Bayesian high-redshift quasar classification from optical and mid-IR photometry
GT Richards, AD Myers, CM Peters, CM Krawczyk, G Chase, NP Ross, ...
The Astrophysical Journal Supplement Series 219 (2), 39, 2015
702015
Configurable Machine Learning Method Selection and Parameter Optimization System and Method
M Gibiansky, R Riegel, Y Yang, P Ram, A Gray
US Patent App. 14/883,522, 2016
372016
Logical neural networks
R Riegel, A Gray, F Luus, N Khan, N Makondo, IY Akhalwaya, H Qian, ...
arXiv preprint arXiv:2006.13155, 2020
212020
Massive-scale kernel discriminant analysis: Mining for quasars
R Riegel, A Gray, G Richards
Proceedings of the 2008 SIAM International Conference on Data Mining, 208-218, 2008
132008
Large-scale kernel discriminant analysis with application to quasar discovery
A Gray, R Riegel
Proceedings of Computational Statistics, 2006
62006
Leveraging abstract meaning representation for knowledge base question answering
P Kapanipathi, I Abdelaziz, S Ravishankar, S Roukos, A Gray, R Astudillo, ...
Findings of the Association for Computational Linguistics: ACL, 2021
52021
A parallel N-body data mining framework
GF Boyer, RN Riegel, AG Gray
NIPS Workshop on Efficient Machine Learning 1304, 2007
52007
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning
P Kapanipathi, I Abdelaziz, S Ravishankar, S Roukos, A Gray, R Astudillo, ...
arXiv preprint arXiv:2012.01707, 2020
32020
Generalized N-body problems: a Framework for Scalable Computation
RN Riegel
Georgia Institute of Technology, 2013
32013
Multitree algorithms for large-scale astrostatistics
WB March, A Ozakin, D Lee, R Riegel, AG Gray
Advances in Machine Learning and Data Mining for Astronomy, 463-483, 2012
32012
Photometric Quasars: The One Million Mark and 9-D SDSS+ Spitzer Selection
GT Richards, A Myers, R Brunner, N Strand, R Nichol, A Gray, R Riegel, ...
American Astronomical Society Meeting Abstracts 211, 142.02, 2007
32007
Foundations of reasoning with uncertainty via real-valued logics
R Fagin, R Riegel, A Gray
arXiv preprint arXiv:2008.02429, 2020
12020
Training Logical Neural Networks by Primal–Dual Methods for Neuro-Symbolic Reasoning
S Lu, N Khan, IY Akhalwaya, R Riegel, L Horesh, A Gray
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
2021
Logic Embeddings for Complex Query Answering
F Luus, P Sen, P Kapanipathi, R Riegel, N Makondo, T Lebese, A Gray
arXiv preprint arXiv:2103.00418, 2021
2021
VizieR Online Data Catalog: QSOs selection from SDSS and WISE (Richards+, 2015)
GT Richards, AD Myers, CM Peters, CM Krawczyk, G Chase, NP Ross, ...
VizieR Online Data Catalog, J/ApJS/219/39, 2015
2015
VizieR Online Data Catalog: Photometric selection of quasars from SDSS. II.(Richards+, 2009)
GT Richards, AD Myers, AG Gray, RN Riegel, RC Nichol, RJ Brunner, ...
VizieR Online Data Catalog, J/ApJS/180/67, 2009
2009
Bayesian Quasar Classification in the Optical/Mid-IR
GT Richards, R Brunner, A Gray, M Lacy, A Myers, R Nichol, R Riegel
American Astronomical Society Meeting Abstracts 209, 149.04, 2006
2006
Fast DBMS-Resident Machine Learning and Statistics: Extending the Sloan Digital Sky Survey SQL Server Database
R Riegel, A Adita, P Krishnaiah, P Jakka, N Vasiloglou, D Lee, A Gray, ...
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Articles 1–20