Andrew J. Connolly

According to our database, Andrew J. Connolly authored at least 24 papers between 2002 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2022

Machine Learning and Cosmology.

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

CoRR, 2022

2020

Sampling for Deep Learning Model Diagnosis (Technical Report).

Parmita Mehta, Stephen Portillo, Magdalena Balazinska, Andrew J. Connolly

CoRR, 2020

Applying Information Theory to Design Optimal Filters for Photometric Redshifts.

J. Bryce Kalmbach, Jacob VanderPlas, Andrew J. Connolly

CoRR, 2020

Toward Sampling for Deep Learning Model Diagnosis.

Parmita Mehta, Stephen Portillo, Magdalena Balazinska, Andrew J. Connolly

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era.

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

CoRR, 2019

AXS: A framework for fast astronomical data processing based on Apache Spark.

Petar Zecevic, Colin T. Slater, Mario Juric, Andrew J. Connolly, Sven Loncaric, Eric C. Bellm, V. Zach Golkhou, Krzysztof Suberlak

CoRR, 2019

2017

Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads.

Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad

Proc. VLDB Endow., 2017

Robust period estimation using mutual information for multi-band light curves in the synoptic survey era.

Pablo Huijse, Pablo A. Estévez, Francisco Förster, Scott F. Daniel, Andrew J. Connolly, Pavlos Protopapas, Rodrigo Carrasco, José C. Príncipe

CoRR, 2017

2016

Everything we'd like to do with LSST data, but we don't know (yet) how.

Zeljko Ivezic, Andrew J. Connolly, Mario Juric

Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016

2015

Gaussian Mixture Models Use-Case: In-Memory Analysis with Myria.

Ryan Maas, Jeremy Hyrkas, Olivia Grace Telford, Magdalena Balazinska, Andrew J. Connolly, Bill Howe

Proceedings of the 3rd VLDB Workshop on In-Memory Data Mangement and Analytics, 2015

Efficient iterative processing in the SciDB parallel array engine.

Emad Soroush, Magdalena Balazinska, K. Simon Krughoff, Andrew J. Connolly

Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

2013

A Demonstration of Iterative Parallel Array Processing in Support of Telescope Image Analysis.

Matthew I. Moyers, Emad Soroush, Spencer Wallace, K. Simon Krughoff, Jake VanderPlas, Magdalena Balazinska, Andrew J. Connolly

Proc. VLDB Endow., 2013

2012

Optimizing the computation of n-point correlations on large-scale astronomical data.

William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard W. Vuduc, Edmond Chow, Alexander G. Gray

Proceedings of the SC Conference on High Performance Computing Networking, 2012

Fast algorithms for comprehensive n-point correlation estimates.

William B. March, Andrew J. Connolly, Alexander G. Gray

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Introduction to astroML: Machine learning for astrophysics.

Jacob VanderPlas, Andrew J. Connolly, Zeljko Ivezic, Alexander G. Gray

Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

2011

Hierarchical Probabilistic Models for Group Anomaly Detection.

Liang Xiong, Barnabás Póczos, Jeff G. Schneider, Andrew J. Connolly, Jake VanderPlas

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Towards Efficient and Precise Queries over Ten Million Asteroid Trajectory Models.

Yusra AlSayyad, K. Simon Krughoff, Bill Howe, Andrew J. Connolly, Magdalena Balazinska, Lynne Jones

Proceedings of the Scientific and Statistical Database Management, 2011

2010

Astronomy in the Cloud: Using MapReduce for Image Coaddition

Keith Wiley, Andrew J. Connolly, Jeffrey P. Gardner, K. Simon Krughoff, Magdalena Balazinska, Bill Howe, YongChul Kwon, Yingyi Bu

CoRR, 2010

2009

Embracing Uncertainty in Large-Scale Computational Astrophysics.

Dan Suciu, Andrew J. Connolly, Bill Howe

Proceedings of the Third VLDB workshop on Management of Uncertain Data (MUD2009) in conjunction with VLDB 2009, 2009

2007

Enabling rapid development of parallel tree search applications.

Jeffrey P. Gardner, Andrew J. Connolly, Cameron McBride

Proceedings of the 5th IEEE workshop on Challenges of large applications in distributed environments, 2007

2005

Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery.

Jeremy Kubica, Joseph Masiero, Andrew W. Moore, Robert Jedicke, Andrew J. Connolly

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A multiple tree algorithm for the efficient association of asteroid observations.

Jeremy Kubica, Andrew W. Moore, Andrew J. Connolly, Robert Jedicke

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

2004

Fast nonlinear regression via eigenimages applied to galactic morphology.

Brigham S. Anderson, Andrew W. Moore, Andrew J. Connolly, Robert Nichol

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2002

Spatial Clustering of Galaxies in Large Datasets

Alexander S. Szalay, Tamas Budavari, Andrew J. Connolly, Jim Gray, Takahiko Matsubara, Adrian Pope, Istvan Szapudi

CoRR, 2002