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Learning from learning machines: a new generation of AI technology to meet the needs of science


Nov 27, 2021
Luca Pion-Tonachini, Kristofer Bouchard, Hector Garcia Martin, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus Zwart, Neeraj Kumar, Amy Justice, Claire Tomlin, Daniel Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Ken Kreutz-Delgado, Michael W. Mahoney, James B. Brown

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Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery


Jun 20, 2021
Yulun Wu, Nicholas Choma, Andrew Chen, Mikaela Cashman, Érica T. Prates, Manesh Shah, Verónica G. Melesse Vergara, Austin Clyde, Thomas S. Brettin, Wibe A. de Jong, Neeraj Kumar, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown

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Sparse Canonical Correlation Analysis via Concave Minimization


Sep 17, 2019
Omid S. Solari, James B. Brown, Peter J. Bickel

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* 45 Pages 

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BLOCCS: Block Sparse Canonical Correlation Analysis With Application To Interpretable Omics Integration


Sep 17, 2019
Omid Shams Solari, Rojin Safavi, James B. Brown

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* 8 pages 

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Refining interaction search through signed iterative Random Forests


Oct 16, 2018
Karl Kumbier, Sumanta Basu, James B. Brown, Susan Celniker, Bin Yu

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Iterative Random Forests to detect predictive and stable high-order interactions


Dec 23, 2017
Sumanta Basu, Karl Kumbier, James B. Brown, Bin Yu

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