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)

Modelling for Quantum Error Mitigation. - Tom Weber; Matthias Riebisch; Kerstin Borras; Karl Jansen; Dirk Krücker (ICSA Companion, 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)

Radio Galaxy Classification with wGAN-Supported Augmentation. - Janis Kummer; Lennart Rustige; Florian Griese; Kerstin Borras; Marcus Brüggen; Patrick L. S. Connor; Frank Gaede; Gregor Kasieczka; Peter Schleper (GI-Jahrestagung, 2022)

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)

DeepTreeGANv2: Iterative Pooling of Point Clouds. - Moritz Alfons Wilhelm Scham; Dirk Krücker; Kerstin Borras (CoRR, 2023)

CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation. - Claudius Krause; Michele Faucci Giannelli; Gregor Kasieczka; Benjamin Nachman; Dalila Salamani; David Shih; Anna Zaborowska; Oz Amram; Kerstin Borras; Matthew R. Buckley; Erik Buhmann; Thorsten Buss; et al. (CoRR, 2024)