Andrew J. Connolly

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 10

Top Topics

Gaussian Mixture Model

Comparative Evaluation

Parallel Execution

Top Venues

Proc. VLDB Endow.

Astroinformatics

Publications

Cora Dvorkin, Siddharth Mishra-Sharma, Brian Nord, V. Ashley Villar, Camille Avestruz, Keith Bechtol, Aleksandra Ciprijanovic, Andrew J. Connolly, Lehman H. Garrison, Gautham Narayan, Francisco Villaescusa-Navarro
Machine Learning and Cosmology. CoRR (2022)
Parmita Mehta, Stephen Portillo, Magdalena Balazinska, Andrew J. Connolly
Toward Sampling for Deep Learning Model Diagnosis. ICDE (2020)
J. Bryce Kalmbach, Jacob VanderPlas, Andrew J. Connolly
Applying Information Theory to Design Optimal Filters for Photometric Redshifts. CoRR (2020)
Parmita Mehta, Stephen Portillo, Magdalena Balazinska, Andrew J. Connolly
Sampling for Deep Learning Model Diagnosis (Technical Report). CoRR (2020)
Petar Zecevic, Colin T. Slater, Mario Juric, Andrew J. Connolly, Sven Loncaric, Eric C. Bellm, V. Zach Golkhou, Krzysztof Suberlak
AXS: A framework for fast astronomical data processing based on Apache Spark. CoRR (2019)
Brian Nord, Andrew J. Connolly, Jamie Kinney, Jeremy Kubica, Gautaum Narayan, Joshua E. G. Peek, Chad Schafer, Erik J. Tollerud, Camille Avestruz, Gutti Jogesh Babu, Simon Birrer, Douglas Burke, João Caldeira, Douglas A. Caldwell, Joleen K. Carlberg, Yen-Chi Chen, Chuanfei Dong, Eric D. Feigelson, V. Zach Golkhou, Vinay Kashyap, T. S. Li, Thomas Loredo, Luisa Lucie-Smith, Kaisey S. Mandel, J. R. Martínez-Galarza, Adam A. Miller, Priyamvada Natarajan, Michelle Ntampaka, Andy Ptak, David Rapetti, Lior Shamir, Aneta Siemiginowska, Brigitta M. Sipocz, Arfon M. Smith, Nhan Tran, Ricardo Vilalta, Lucianne M. Walkowicz, John ZuHone
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era. CoRR (2019)
Pablo Huijse, Pablo A. Estévez, Francisco Förster, Scott F. Daniel, Andrew J. Connolly, Pavlos Protopapas, Rodrigo Carrasco, José C. Príncipe
Robust period estimation using mutual information for multi-band light curves in the synoptic survey era. CoRR (2017)
Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads. Proc. VLDB Endow. 10 (11) (2017)
Zeljko Ivezic, Andrew J. Connolly, Mario Juric
Everything we'd like to do with LSST data, but we don't know (yet) how. Astroinformatics (2016)
Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads. CoRR (2016)
Emad Soroush, Magdalena Balazinska, K. Simon Krughoff, Andrew J. Connolly
Efficient Iterative Processing in the SciDB Parallel Array Engine. CoRR (2015)
Emad Soroush, Magdalena Balazinska, K. Simon Krughoff, Andrew J. Connolly
Efficient iterative processing in the SciDB parallel array engine. SSDBM (2015)
Ryan Maas, Jeremy Hyrkas, Olivia Grace Telford, Magdalena Balazinska, Andrew J. Connolly, Bill Howe
Gaussian Mixture Models Use-Case: In-Memory Analysis with Myria. IMDM@VLDB (2015)
Matthew I. Moyers, Emad Soroush, Spencer Wallace, K. Simon Krughoff, Jake VanderPlas, Magdalena Balazinska, Andrew J. Connolly
A Demonstration of Iterative Parallel Array Processing in Support of Telescope Image Analysis. Proc. VLDB Endow. 6 (12) (2013)
Jacob VanderPlas, Andrew J. Connolly, Zeljko Ivezic, Alexander G. Gray
Introduction to astroML: Machine learning for astrophysics. CIDU (2012)
William B. March, Andrew J. Connolly, Alexander G. Gray
Fast algorithms for comprehensive n-point correlation estimates. KDD (2012)
William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard W. Vuduc, Edmond Chow, Alexander G. Gray
Optimizing the computation of n-point correlations on large-scale astronomical data. SC (2012)
Yusra AlSayyad, K. Simon Krughoff, Bill Howe, Andrew J. Connolly, Magdalena Balazinska, Lynne Jones
Towards Efficient and Precise Queries over Ten Million Asteroid Trajectory Models. SSDBM (2011)
Liang Xiong, Barnabás Póczos, Jeff G. Schneider, Andrew J. Connolly, Jake VanderPlas
Hierarchical Probabilistic Models for Group Anomaly Detection. AISTATS (2011)
Keith Wiley, Andrew J. Connolly, Jeffrey P. Gardner, K. Simon Krughoff, Magdalena Balazinska, Bill Howe, YongChul Kwon, Yingyi Bu
Astronomy in the Cloud: Using MapReduce for Image Coaddition CoRR (2010)
Dan Suciu, Andrew J. Connolly, Bill Howe
Embracing Uncertainty in Large-Scale Computational Astrophysics. MUD (2009)
Jeffrey P. Gardner, Andrew J. Connolly, Cameron McBride
Enabling rapid development of parallel tree search applications. CLADE@HPDC (2007)
Jeremy Kubica, Andrew W. Moore, Andrew J. Connolly, Robert Jedicke
A multiple tree algorithm for the efficient association of asteroid observations. KDD (2005)
Jeremy Kubica, Joseph Masiero, Andrew W. Moore, Robert Jedicke, Andrew J. Connolly
Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery. NIPS (2005)
Brigham Anderson, Andrew W. Moore, Andrew J. Connolly, Robert Nichol
Fast nonlinear regression via eigenimages applied to galactic morphology. KDD (2004)
Alexander S. Szalay, Tamas Budavari, Andrew J. Connolly, Jim Gray, Takahiko Matsubara, Adrian Pope, Istvan Szapudi
Spatial Clustering of Galaxies in Large Datasets CoRR (2002)