Directional Message Passing for Molecular Graphs. - Johannes Klicpera; Janek Groß; Stephan Günnemann (ICLR, 2020)

Using Complementary Risk Acceptance Criteria to Structure Assurance Cases for Safety-Critical AI Components. - Michael Klaes; Rasmus Adler; Lisa Jöckel; Janek Groß; Jan Reich (AISafety@IJCAI, 2021)

Towards a Common Testing Terminology for Software Engineering and Data Science Experts. - Lisa Jöckel; Thomas Bauer; Michael Kläs; Marc P. Hauer; Janek Groß (PROFES, 2021)

A systematic review of Python packages for time series analysis. - Julien Siebert; Janek Groß; Christof Schroth (CoRR, 2021)

Towards a Common Testing Terminology for Software Engineering and Artificial Intelligence Experts. - Lisa Jöckel; Thomas Bauer; Michael Kläs; Marc P. Hauer; Janek Groß (CoRR, 2021)

Architectural Patterns for Handling Runtime Uncertainty of Data-Driven Models in Safety-Critical Perception. - Janek Groß; Rasmus Adler; Michael Kläs; Jan Reich; Lisa Jöckel; Roman Gansch (SAFECOMP, 2022)

Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning. - Janek Groß; Michael Kläs; Lisa Jöckel; Pascal Gerber (DSN-W, 2023)

Reliability Estimation of ML for Image Perception: A Lightweight Nonlinear Transformation Approach Based on Full Reference Image Quality Metrics. - João-Vitor Zacchi; Francesco Carella; Priyank Upadhya; Shanza Ali Zafar; John Molloy; Lisa Jöckel; Janek Groß; Núria Mata; Nguyen Anh Vu Doan (MCSoC, 2023)

Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning. - Lisa Jöckel; Michael Kläs; Janek Groß; Pascal Gerber; Markus Scholz; Jonathan Eberle; Marc Teschner; Daniel Seifert; Richard Hawkins; John Molloy; Jens Ottnad (PROFES (1), 2023)

Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning? - Lisa Jöckel; Michael Kläs; Janek Groß; Pascal Gerber (SAFECOMP Workshops, 2023)