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)

PE-GAN: Prior Embedding GAN for PXD images at Belle II. - Hosein Hashemi; Nikolai Hartmann; Thomas Kuhr; Martin Ritter; Matej srebre (CoRR, 2023)

Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning. - Hosein Hashemi; Nikolai Hartmann; Sahand Sharifzadeh; James Kahn; Thomas Kuhr (CoRR, 2023)

Improved selective background Monte Carlo simulation at Belle II with graph attention networks and weighted events. - Boyang Yu; Nikolai Hartmann; Luca Schinnerl; Thomas Kuhr (CoRR, 2023)