Automatic detection of motion artifacts in MR images using CNNS. - Kristof Meding; Alexander Loktyushin; Michael Hirsch 001 (ICASSP, 2017)

Perceiving the arrow of time in autoregressive motion. - Kristof Meding; Dominik Janzing; Bernhard Schölkopf; Felix A. Wichmann (NeurIPS, 2019)

Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency. - Robert Geirhos; Kristof Meding; Felix A. Wichmann (NeurIPS, 2020)

The Big Picture: Ethical Considerations and Statistical Analysis of Industry Involvement in Machine Learning Research. - Thilo Hagendorff; Kristof Meding (CoRR, 2020)

Trivial or Impossible — dichotomous data difficulty masks model differences (on ImageNet and beyond). - Kristof Meding; Luca M. Schulze Buschoff; Robert Geirhos; Felix A. Wichmann (ICLR, 2022)

Anforderungen bei der Einführung und Entwicklung von KI zur Gewährleistung von Fairness und Diskriminierungsfreiheit. - Daniel Joos; Kristof Meding (Datenschutz und Datensicherheit, 2022)

Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms. - Kristof Meding; Thilo Hagendorff (CoRR, 2023)

Ethical considerations and statistical analysis of industry involvement in machine learning research. - Thilo Hagendorff; Kristof Meding (AI Soc., 2023)

What constitutes a Deep Fake? The blurry line between legitimate processing and manipulation under the EU AI Act. - Kristof Meding; Christoph Sorge (CSLAW, 2025)

It's complicated. The relationship of algorithmic fairness and non-discrimination regulations in the EU AI Act. - Kristof Meding (CoRR, 2025)

Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data. - Henrik Nolte; Michèle Finck; Kristof Meding (CoRR, 2025)

Beware! The AI Act Can Also Apply to Your AI Research Practices. - Alina Wernick; Kristof Meding (CoRR, 2025)