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ORCIDErik Buhmann
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2020 – today
- 2023
[i6]Erik Buhmann, Gregor Kasieczka, Jesse Thaler:
EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets. CoRR abs/2301.08128 (2023)- [i5]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) - [i4]Erik Buhmann, Frank Gaede, Gregor Kasieczka, Anatolii Korol, William Korcari, Katja Krüger, Peter McKeown:
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation. CoRR abs/2309.05704 (2023) - [i3]Erik Buhmann, Cedric Ewen, Darius A. Faroughy, Tobias Golling, Gregor Kasieczka, Matthew Leigh, Guillaume Quétant, John Andrew Raine, Debajyoti Sengupta, David Shih:
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion. CoRR abs/2310.00049 (2023) - [i2]Joschka Birk, Erik Buhmann, Cedric Ewen, Gregor Kasieczka, David Shih:
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information. CoRR abs/2312.00123 (2023) - 2022
- [j3]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. Comput. Softw. Big Sci. 6(1) (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) - 2021
- [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) - [i1]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)
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