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Martin Erdmann
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Books and Theses
- 2021
- [b2]Martin Erdmann
, Jonas Glombitza
Deep Learning for Physics Research. WorldScientific 2021, ISBN 9789811237454, pp. 1-340 - 1994
- [b1]Martin Erdmann:
Leistungsminimierende Transformationskodierung als Methode der Datenreduktion. University of Wuppertal, Germany, VDI-Verlag 1994, ISBN 978-3-18-332210-7, pp. 1-96
Journal Articles
- 2023
- [j4]Niclas Eich, Martin Erdmann, Peter Fackeldey
Fast Columnar Physics Analyses of Terabyte-Scale LHC Data on a Cache-Aware Dask Cluster. Comput. Softw. Big Sci. 7(1): 3 (2023) - 2022
- [j3]Lisa Benato
Shared Data and Algorithms for Deep Learning in Fundamental Physics. Comput. Softw. Big Sci. 6(1) (2022) - 2019
- [j2]Martin Erdmann
Precise Simulation of Electromagnetic Calorimeter Showers Using a Wasserstein Generative Adversarial Network. Comput. Softw. Big Sci. 3(1) (2019) - 2018
- [j1]Martin Erdmann
Generating and Refining Particle Detector Simulations Using the Wasserstein Distance in Adversarial Networks. Comput. Softw. Big Sci. 2(1) (2018)
Conference and Workshop Papers
- 2023
- [c2]Astrid Schneidewind
Several Partners - Joint Effort: RDM Synergies in Large Scale Research. CoRDI 2023 - 2001
- [c1]Vinod Nair, Martin Erdmann, Shridhar Mubaraq Mishra, Juraj Povazanec, Amit Shaligram, Chun Feng Hu:
A single chip terminal solution for high-end telephone applications. CICC 2001: 417-420
Informal and Other Publications
- 2021
- [i3]Lisa Benato
Shared Data and Algorithms for Deep Learning in Fundamental Physics. CoRR abs/2107.00656 (2021) - 2018
- [i2]Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano
Machine Learning in High Energy Physics Community White Paper. CoRR abs/1807.02876 (2018) - 2017
- [i1]Marcel Rieger
Design and Execution of make-like, distributed Analyses based on Spotify's Pipelining Package Luigi. CoRR abs/1706.00955 (2017)
Coauthor Index
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