Validation of Deep Convolutional Generative Adversarial Networks for High Energy Physics Calorimeter Simulations. - Florian Rehm; Sofia Vallecorsa; Kerstin Borras; Dirk Krücker (AAAI Spring Symposium: MLPS, 2021)

Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case. - Florian Rehm; Sofia Vallecorsa; Vikram A. Saletore; Hans Pabst; Adel Chaibi; Valeriu Codreanu; Kerstin Borras; Dirk Krücker (ICPRAM, 2021)

Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations. - Florian Rehm; Sofia Vallecorsa; Kerstin Borras; Dirk Krücker (CoRR, 2021)

Reduced Precision Research of a GAN Image Generation Use-case. - Florian Rehm; Vikram A. Saletore; Sofia Vallecorsa; Kerstin Borras; Dirk Krücker (ICPRAM (Revised Selected Papers), 2022)

Quantum Angle Generator for Image Generation. - Florian Rehm; Sofia Vallecorsa; Michele Grossi; Kerstin Borras; Dirk Krücker; Schnake Simon; Alexis-Harilaos Verney-Provatas (SEC, 2022)

Integration of Cybersecurity Related Development Processes by Using a Quantification Method. - Hassan Noun; Florian Rehm; Guillaume Zeller; G. Rajesh; Roland Lachmayer (SciSec, 2022)

Towards Unlocking Insights from Logbooks Using AI. - Antonin Sulc; Alex Bien; Annika Eichler; Daniel Ratner; Florian Rehm; Frank Mayet; Gregor Hartmann; Hayden Hoschouer; Henrik Tünnermann; Jan Kaiser; Jason St. John; Jennefer Maldonado; et al. (CoRR, 2024)