Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed. - Erik Buhmann; Sascha Diefenbacher; Engin Eren; Frank Gaede; Gregor Kasieczka; Anatolii Korol; Katja Krüger (Comput. Softw. Big Sci., 2021)

Hadrons, better, faster, stronger. - Erik Buhmann; Sascha Diefenbacher; Daniel Hundhausen; Gregor Kasieczka; William Korcari; Engin Eren; Frank Gaede; Katja Krüger; Peter McKeown; Lennart Rustige (Mach. Learn. Sci. Technol., 2022)

CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation. - Erik Buhmann; Sascha Diefenbacher; Engin Eren; Frank Gaede; Gregor Kasieczka; Anatolii Korol; William Korcari; Katja Krüger; Peter McKeown (CoRR, 2023)

Improving Generative Model-based Unfolding with Schrödinger Bridges. - Sascha Diefenbacher; Guan-Horng Liu; Vinicius Mikuni; Benjamin Nachman; Weili Nie (CoRR, 2023)

New angles on fast calorimeter shower simulation. - Sascha Diefenbacher; Engin Eren; Frank Gaede; Gregor Kasieczka; Anatolii Korol; Katja Krüger; Peter McKeown; Lennart Rustige (Mach. Learn. Sci. Technol., 2023)

The Landscape of Unfolding with Machine Learning. - Nathan Huetsch; Javier Mariño Villadamigo; Alexander Shmakov; Sascha Diefenbacher; Vinicius Mikuni; Theo Heimel; Michael James Fenton; Kevin Greif; Benjamin Nachman; Daniel Whiteson; Anja Butter; Tilman Plehn (CoRR, 2024)

Calibrating Bayesian Generative Machine Learning for Bayesiamplification. - Sebastian Bieringer; Sascha Diefenbacher; Gregor Kasieczka; Mathias Trabs (CoRR, 2024)

FAIR Universe HiggsML Uncertainty Challenge Competition. - Wahid Bhimji; Paolo Calafiura; Ragansu Chakkappai; Yuan-Tang Chou; Sascha Diefenbacher; Jordan Dudley; Steven Farrell; Aishik Ghosh; Isabelle Guyon; Chris Harris; Shih-Chieh Hsu; Elham E Khoda; et al. (CoRR, 2024)

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)

Generative Unfolding with Distribution Mapping. - Anja Butter; Sascha Diefenbacher; Nathan Huetsch; Vinicius Mikuni; Benjamin Nachman; Sofia Palacios Schweitzer; Tilman Plehn (CoRR, 2024)

Discriminative versus Generative Approaches to Simulation-based Inference. - Benjamin Sluijter; Sascha Diefenbacher; Wahid Bhimji; Benjamin Nachman (CoRR, 2025)