i- flow: High-dimensional integration and sampling with normalizing flows. - Christina Gao; Joshua Isaacson; Claudius Krause (Mach. Learn. Sci. Technol., 2020)

CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows. - Claudius Krause; David Shih (CoRR, 2021)

CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows. - Claudius Krause; David Shih (CoRR, 2021)

New directions for surrogate models and differentiable programming for High Energy Physics detector simulation. - Andreas Adelmann; Walter Hopkins; Evangelos Kourlitis; Michael Kagan; Gregor Kasieczka; Claudius Krause; David Shih; Vinicius Mikuni; Benjamin Nachman; Kevin Pedro; Daniel Winklehner (CoRR, 2022)

CaloFlow for CaloChallenge Dataset 1. - Claudius Krause; Ian Pang; David Shih (CoRR, 2022)

Inductive CaloFlow. - Matthew R. Buckley; Claudius Krause; Ian Pang; David Shih (CoRR, 2023)

Deep Generative Models for Detector Signature Simulation: An Analytical Taxonomy. - Hosein Hashemi; Claudius Krause (CoRR, 2023)

Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows. - Thorsten Buss; Frank Gaede; Gregor Kasieczka; Claudius Krause; David Shih (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)

BitHEP - The Limits of Low-Precision ML in HEP. - Claudius Krause; Daohan Wang; Ramon Winterhalder (CoRR, 2025)