How to GAN away Detector Effects. - Marco Bellagente; Anja Butter; Gregor Kasieczka; Tilman Plehn; Ramon Winterhalder (CoRR, 2019)

Understanding Event-Generation Networks via Uncertainties. - Marco Bellagente; Manuel Haußmann; Michel Luchmann; Tilman Plehn (CoRR, 2021)

Better Latent Spaces for Better Autoencoders. - Barry M. Dillon; Tilman Plehn; Christof Sauer; Peter Sorrenson (CoRR, 2021)

Generative Networks for Precision Enthusiasts. - Anja Butter; Theo Heimel; Sander Hummerich; Tobias Krebs; Tilman Plehn; Armand Rousselot; Sophia Vent (CoRR, 2021)

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)

Anomalies, Representations, and Self-Supervision. - Barry M. Dillon; Luigi Favaro; Friedrich Feiden; Tanmoy Modak; Tilman Plehn (CoRR, 2023)

Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics. - Jonas Spinner; Victor Bresó; Pim de Haan; Tilman Plehn; Jesse Thaler; Johann Brehmer (NeurIPS, 2024)

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)

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)

A Lorentz-Equivariant Transformer for All of the LHC. - Johann Brehmer; Victor Bresó; Pim de Haan; Tilman Plehn; Huilin Qu; Jonas Spinner; Jesse Thaler (CoRR, 2024)

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

Extrapolating Jet Radiation with Autoregressive Transformers. - Anja Butter; François Charton; Javier Mariño Villadamigo; Ayodele Ore; Tilman Plehn; Jonas Spinner (CoRR, 2024)

Lorentz Local Canonicalization: How to Make Any Network Lorentz-Equivariant. - Jonas Spinner; Luigi Favaro; Peter Lippmann; Sebastian Pitz; Gerrit Gerhartz; Tilman Plehn; Fred A. Hamprecht (CoRR, 2025)

Simulation-Prior Independent Neural Unfolding Procedure. - Anja Butter; Theo Heimel; Nathan Huetsch; Michael Kagan; Tilman Plehn (CoRR, 2025)