Jonas Glombitza

According to our database, Jonas Glombitza authored at least 4 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Shared Data and Algorithms for Deep Learning in Fundamental Physics.

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

Comput. Softw. Big Sci., December, 2022

2021

Deep Learning for Physics Research

Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt

WorldScientific, ISBN: 9789811285325, 2021

2019

Precise Simulation of Electromagnetic Calorimeter Showers Using a Wasserstein Generative Adversarial Network.

Martin Erdmann, Jonas Glombitza, Thorben Quast

Comput. Softw. Big Sci., December, 2019

2018

Generating and Refining Particle Detector Simulations Using the Wasserstein Distance in Adversarial Networks.

Martin Erdmann, Lukas Geiger, Jonas Glombitza, David Schmidt

Comput. Softw. Big Sci., November, 2018