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., 2018)

Precise Simulation of Electromagnetic Calorimeter Showers Using a Wasserstein Generative Adversarial Network. - Martin Erdmann; Jonas Glombitza; Thorben Quast (Comput. Softw. Big Sci., 2019)

Deep Learning for Physics Research - Martin Erdmann; Jonas Glombitza; Gregor Kasieczka; Uwe Klemradt (WorldScientific, 2021)

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; et al. (Comput. Softw. Big Sci., 2022)