MOCHA2017: The Mighty Storage Challenge at ESWC 2017. - Kleanthi Georgala; Mirko Spasic; Milos Jovanovik; Henning Petzka; Michael Röder; Axel-Cyrille Ngonga Ngomo (SemWebEval@ESWC, 2017)

Benchmarking Faceted Browsing Capabilities of Triplestores. - Henning Petzka; Claus Stadler; Georgios Katsimpras; Bastian Haarmann; Jens Lehmann 001 (SEMANTiCS, 2017)

The Tale of Sansa Spark. - Ivan Ermilov; Jens Lehmann 001; Gezim Sejdiu; Lorenz Bühmann; Patrick Westphal; Claus Stadler; Simon Bin; Nilesh Chakraborty; Henning Petzka; Muhammad Saleem 002; Axel-Cyrille Ngonga Ngomo; Hajira Jabeen (ISWC (Posters, Demos & Industry Tracks), 2017)

On the regularization of Wasserstein GANs. - Henning Petzka; Asja Fischer; Denis Lukovnikov (ICLR (Poster), 2018)

A Mighty Dataset for Stress-Testing Question Answering Systems. - Bastian Haarmann; Claudio Martens; Henning Petzka; Giulio Napolitano (ICSC, 2018)

A Reparameterization-Invariant Flatness Measure for Deep Neural Networks. - Henning Petzka; Linara Adilova; Michael Kamp; Cristian Sminchisescu (CoRR, 2019)

Notes on the Symmetries of 2-Layer ReLU-Networks. - Henning Petzka; Martin Trimmel; Cristian Sminchisescu (NLDL, 2020)

Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks. - Henning Petzka; Linara Adilova; Michael Kamp; Cristian Sminchisescu (CoRR, 2020)

TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks. - Martin Trimmel; Henning Petzka; Cristian Sminchisescu (ICLR, 2021)

Relative Flatness and Generalization. - Henning Petzka; Michael Kamp; Linara Adilova; Cristian Sminchisescu; Mario Boley (NeurIPS, 2021)

Non-attracting Regions of Local Minima in Deep and Wide Neural Networks. - Henning Petzka; Cristian Sminchisescu (J. Mach. Learn. Res., 2021)

Discriminating Against Unrealistic Interpolations in Generative Adversarial Networks. - Henning Petzka; Ted Kronvall; Cristian Sminchisescu (CoRR, 2022)

FAM: Relative Flatness Aware Minimization. - Linara Adilova; Amr Abourayya; Jianning Li 002; Amin Dada; Henning Petzka; Jan Egger; Jens Kleesiek; Michael Kamp (TAG-ML, 2023)