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2020 – today
- 2023
[i7]Erik Buhmann, Gregor Kasieczka, Jesse Thaler:
EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets. CoRR abs/2301.08128 (2023)- [i6]Erik Buhmann, Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, William Korcari, Katja Krüger, Peter McKeown:
CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation. CoRR abs/2305.04847 (2023) - 2022
- [j2]Erik Buhmann, Sascha Diefenbacher
, Daniel Hundhausen, Gregor Kasieczka, William Korcari, Engin Eren, Frank Gaede, Katja Krüger, Peter McKeown, Lennart Rustige:
Hadrons, better, faster, stronger. Mach. Learn. Sci. Technol. 3(2): 25014 (2022) - [c1]Janis Kummer, Lennart Rustige, Florian Griese, Kerstin Borras, Marcus Brüggen, Patrick L. S. Connor, Frank Gaede, Gregor Kasieczka, Peter Schleper:
Radio Galaxy Classification with wGAN-Supported Augmentation. GI-Jahrestagung 2022: 469-478 - [i5]Andreas Adelmann, Walter Hopkins, Evangelos Kourlitis, Michael Kagan, Gregor Kasieczka, Claudius Krause, David Shih, Vinicius Mikuni, Benjamin Nachman, Kevin Pedro, Daniel Winklehner:
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation. CoRR abs/2203.08806 (2022) - [i4]Gabriele Benelli, Thomas Y. Chen, Javier M. Duarte, Matthew Feickert, Matthew J. Graham, Lindsey Gray, Dan Hackett, Philip C. 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:
Data Science and Machine Learning in Education. CoRR abs/2207.09060 (2022) - [i3]Ranit Das, Gregor Kasieczka, David Shih:
Feature Selection with Distance Correlation. CoRR abs/2212.00046 (2022) - 2021
- [b1]Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt:
Deep Learning for Physics Research. WorldScientific 2021, ISBN 9789811237454, pp. 1-340 - [j1]Erik Buhmann, Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, Katja Krüger:
Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed. Comput. Softw. Big Sci. 5(1) (2021) - [i2]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:
Shared Data and Algorithms for Deep Learning in Fundamental Physics. CoRR abs/2107.00656 (2021) - [i1]Gregor Kasieczka, Benjamin Nachman, David Shih:
New Methods and Datasets for Group Anomaly Detection From Fundamental Physics. CoRR abs/2107.02821 (2021)
Coauthor Index
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