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Resonant Anomaly Detection with Multiple Reference Datasets


Dec 20, 2022
Mayee F. Chen, Benjamin Nachman, Frederic Sala

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Score-based Generative Models for Calorimeter Shower Simulation


Jun 17, 2022
Vinicius Mikuni, Benjamin Nachman

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Bias and Priors in Machine Learning Calibrations for High Energy Physics


May 10, 2022
Rikab Gambhir, Benjamin Nachman, Jesse Thaler

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* 17 pages, 7 figures, code available at https://github.com/hep-lbdl/calibrationpriors 

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Exploring the Universality of Hadronic Jet Classification


Apr 08, 2022
Kingman Cheung, Yi-Lun Chung, Shih-Chieh Hsu, Benjamin Nachman

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* 25 pages, 7 figures, 7 tables 

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New directions for surrogate models and differentiable programming for High Energy Physics detector simulation


Mar 15, 2022
Andreas Adelmann, Walter Hopkins, Evangelos Kourlitis, Michael Kagan, Gregor Kasieczka, Claudius Krause, David Shih, Vinicius Mikuni, Benjamin Nachman, Kevin Pedro, Daniel Winklehner

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* contribution to Snowmass 2021 

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Machine Learning in the Search for New Fundamental Physics


Dec 07, 2021
Georgia Karagiorgi, Gregor Kasieczka, Scott Kravitz, Benjamin Nachman, David Shih

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* Preprint of article submitted to Nature Reviews Physics, 19 pages, 1 figure 

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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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Online-compatible Unsupervised Non-resonant Anomaly Detection


Nov 11, 2021
Vinicius Mikuni, Benjamin Nachman, David Shih

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* 9 pages, 3 figures 

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A Cautionary Tale of Decorrelating Theory Uncertainties


Sep 30, 2021
Aishik Ghosh, Benjamin Nachman

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* 19 pages, 8 figures. v2: added to acknowledgements 

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