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CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation


May 08, 2023
Erik Buhmann, Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, William Korcari, Katja Krüger, Peter McKeown

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* 25 pages, 11 figures 

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EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets


Jan 17, 2023
Erik Buhmann, Gregor Kasieczka, Jesse Thaler

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* 18 pages, 8 figures, 2 tables 

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Feature Selection with Distance Correlation


Nov 30, 2022
Ranit Das, Gregor Kasieczka, David Shih

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* 14 pages, 8 figures, 3 tables 

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Data Science and Machine Learning in Education


Jul 19, 2022
Gabriele Benelli, Thomas Y. Chen, Javier Duarte, Matthew Feickert, Matthew Graham, Lindsey Gray, Dan Hackett, Phil Harris, Shih-Chieh Hsu, Gregor Kasieczka, Elham E. Khoda, Matthias Komm, Mia Liu, Mark S. Neubauer, Scarlet Norberg, Alexx Perloff, Marcel Rieger, Claire Savard, Kazuhiro Terao, Savannah Thais, Avik Roy, Jean-Roch Vlimant, Grigorios Chachamis

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* Contribution to Snowmass 2021 

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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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New Methods and Datasets for Group Anomaly Detection From Fundamental Physics


Jul 06, 2021
Gregor Kasieczka, Benjamin Nachman, David Shih

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* Accepted for ANDEA (Anomaly and Novelty Detection, Explanation and Accommodation) Workshop at KDD 2021 

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Shared Data and Algorithms for Deep Learning in Fundamental Physics


Jul 01, 2021
Lisa Benato, Erik Buhmann, Martin Erdmann, Peter Fackeldey, Jonas Glombitza, Nikolai Hartmann, Gregor Kasieczka, William Korcari, Thomas Kuhr, Jan Steinheimer, Horst Stöcker, Tilman Plehn, Kai Zhou

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* 13 pages, 5 figures, 5 tables 

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GANplifying Event Samples


Sep 16, 2020
Anja Butter, Sascha Diefenbacher, Gregor Kasieczka, Benjamin Nachman, Tilman Plehn

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* 14 pages, 7 figures, fixed two equations, extended acknowledgments 

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DCTRGAN: Improving the Precision of Generative Models with Reweighting


Sep 03, 2020
Sascha Diefenbacher, Engin Eren, Gregor Kasieczka, Anatolii Korol, Benjamin Nachman, David Shih

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* 14 pages, 8 figures 

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