Andrew J. Connolly

27 papers A* 4A 2B 2Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS). CoRR Andrew Ferguson, Marisa Lafleur, Lars Ruthotto, Jesse Thaler, Yuan-Sen Ting, Pratyush Tiwary, Soledad Villar, E. Paulo Alves, Jeremy Avigad, Simon Billinge, Camille L. Bilodeau, Keith Brown, Emmanuel J. Candès, Arghya Chattopadhyay, Bingqing Cheng, Jonathan Clausen, Connor W. Coley, Andrew J. Connolly, Fred Daum, Sijia S. Dong, Chrisy Xiyu Du, Cora Dvorkin, Cristiano Fanelli, Eric B. Ford, Luis Manuel Frutos, Nicolás García Trillos, Cecilia Garraffo, Robert Ghrist, Rafael Gómez-Bombarelli, Gianluca Guadagni, Sreelekha Guggilam, Sergei Gukov, Juan B. Gutierrez, Salman Habib, Johannes Hachmann, Boris Hanin, Philip C. Harris, Murray Holland, Elizabeth Holm, Hsin-Yuan Huang, Shih-Chieh Hsu, Nick Jackson, Olexandr Isayev, Heng Ji, Aggelos K. Katsaggelos, Jeremy Kepner, Yannis G. Kevrekidis, Michelle P. Kuchera, J. Nathan Kutz, Branislava Lalic, Ann Lee, Matt LeBlanc, Josiah Lim, Rebecca Lindsey, Yongmin Liu, Peter Y. Lu, Sudhir Malik, Vuk Mandic, Vidya B. Manian, Emeka P. Mazi, Pankaj Mehta, Peter Melchior, Brice Ménard, Jennifer Ngadiuba, Stella Offner, Elsa Olivetti, Shyue Ping Ong, Christopher Rackauckas, Philippe Rigollet, Chad Risko, Philip Romero, Grant M. Rotskoff, Brett Savoie, Uros Seljak, David Shih, Gary Shiu, Dima Shlyakhtenko, Eva Silverstein, Taylor Sparks, Thomas Strohmer, Christopher Stubbs, Stephen Thomas, Suriyanarayanan Vaikuntanathan, René Vidal, Francisco Villaescusa-Navarro, Gregory Voth, Benjamin Wandelt, Rachel Ward, Melanie Weber, Risa Wechsler, Stephen Whitelam, Olaf Wiest, Mike Williams, Zhuoran Yang, Yaroslava G. Yingling, Bin Yu, Shuwen Yue, Ann Zabludoff, Huimin Zhao, Tong Zhang
2022	J	`jnl`	Machine Learning and Cosmology. CoRR 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
2020	J	`jnl`	Applying Information Theory to Design Optimal Filters for Photometric Redshifts. CoRR J. Bryce Kalmbach, Jacob VanderPlas, Andrew J. Connolly
2020	J	`jnl`	Sampling for Deep Learning Model Diagnosis (Technical Report). CoRR Parmita Mehta, Stephen Portillo, Magdalena Balazinska, Andrew J. Connolly
2020	A*	`conf`	Toward Sampling for Deep Learning Model Diagnosis. ICDE Parmita Mehta, Stephen Portillo, Magdalena Balazinska, Andrew J. Connolly
2019	J	`jnl`	AXS: A framework for fast astronomical data processing based on Apache Spark. CoRR Petar Zecevic, Colin T. Slater, Mario Juric, Andrew J. Connolly, Sven Loncaric, Eric C. Bellm, V. Zach Golkhou, Krzysztof Suberlak
2019	J	`jnl`	Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era. CoRR 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 L. 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
2017	J	`jnl`	Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads. Proc. VLDB Endow. Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
2017	J	`jnl`	Robust period estimation using mutual information for multi-band light curves in the synoptic survey era. CoRR Pablo Huijse, Pablo A. Estévez, Francisco Förster, Scott F. Daniel, Andrew J. Connolly, Pavlos Protopapas, Rodrigo Carrasco, José C. Príncipe
2016	J	`jnl`	Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads. CoRR Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
2016	—	`conf`	Everything we'd like to do with LSST data, but we don't know (yet) how. Astroinformatics Zeljko Ivezic, Andrew J. Connolly, Mario Juric
2015	J	`jnl`	Efficient Iterative Processing in the SciDB Parallel Array Engine. CoRR Emad Soroush, Magdalena Balazinska, K. Simon Krughoff, Andrew J. Connolly
2015	B	`conf`	Efficient iterative processing in the SciDB parallel array engine. SSDBM Emad Soroush, Magdalena Balazinska, K. Simon Krughoff, Andrew J. Connolly
2015	—	`conf`	Gaussian Mixture Models Use-Case: In-Memory Analysis with Myria. IMDM@VLDB Ryan Maas, Jeremy Hyrkas, Olivia Grace Telford, Magdalena Balazinska, Andrew J. Connolly, Bill Howe
2013	J	`jnl`	A Demonstration of Iterative Parallel Array Processing in Support of Telescope Image Analysis. Proc. VLDB Endow. Matthew I. Moyers, Emad Soroush, Spencer Wallace, K. Simon Krughoff, Jake VanderPlas, Magdalena Balazinska, Andrew J. Connolly
2012	A*	`conf`	Fast algorithms for comprehensive n-point correlation estimates. KDD William B. March, Andrew J. Connolly, Alexander G. Gray
2012	—	`conf`	Introduction to astroML: Machine learning for astrophysics. CIDU Jacob VanderPlas, Andrew J. Connolly, Zeljko Ivezic, Alexander G. Gray
2012	A	`conf`	Optimizing the computation of n-point correlations on large-scale astronomical data. SC William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard W. Vuduc, Edmond Chow, Alexander G. Gray
2011	A	`conf`	Hierarchical Probabilistic Models for Group Anomaly Detection. AISTATS Liang Xiong, Barnabás Póczos, Jeff G. Schneider, Andrew J. Connolly, Jake VanderPlas
2011	B	`conf`	Towards Efficient and Precise Queries over Ten Million Asteroid Trajectory Models. SSDBM Yusra AlSayyad, K. Simon Krughoff, Bill Howe, Andrew J. Connolly, Magdalena Balazinska, Lynne Jones
2010	J	`jnl`	Astronomy in the Cloud: Using MapReduce for Image Coaddition CoRR Keith Wiley, Andrew J. Connolly, Jeffrey P. Gardner, K. Simon Krughoff, Magdalena Balazinska, Bill Howe, YongChul Kwon, Yingyi Bu
2009	—	`conf`	Embracing Uncertainty in Large-Scale Computational Astrophysics. MUD Dan Suciu, Andrew J. Connolly, Bill Howe
2007	—	`conf`	Enabling rapid development of parallel tree search applications. CLADE@HPDC Jeffrey P. Gardner, Andrew J. Connolly, Cameron McBride
2005	A*	`conf`	A multiple tree algorithm for the efficient association of asteroid observations. KDD Jeremy Kubica, Andrew W. Moore, Andrew J. Connolly, Robert Jedicke
2005	—	`conf`	Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery. NIPS Jeremy Kubica, Joseph Masiero, Andrew W. Moore, Robert Jedicke, Andrew J. Connolly
2004	A*	`conf`	Fast nonlinear regression via eigenimages applied to galactic morphology. KDD Brigham S. Anderson, Andrew W. Moore, Andrew J. Connolly, Robert Nichol
2002	J	`jnl`	Spatial Clustering of Galaxies in Large Datasets CoRR Alexander S. Szalay, Tamas Budavari, Andrew J. Connolly, Jim Gray, Takahiko Matsubara, Adrian Pope, Istvan Szapudi