Maximilian Pintz

According to our database, Maximilian Pintz authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A Modular AI Testing Framework for Trustworthy AI: Proof-of-Concept Implementation.

Maximilian Pintz, Daniel Becker, Michael Mock

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2025 Workshops, 2025

Navigating the Landscape of AI Test Methods Using Taxonomy-Based Selection.

Maximilian Pintz, Anna Schmitz, Rebekka Görge, Sebastian Schmidt, Daniel Becker, Maram Akila, Michael Mock

Proceedings of the IEEE/ACM International Workshop on Responsible AI Engineering, 2025

2024

Wasserstein dropout.

Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Stefan Wrobel, Asja Fischer

Mach. Learn., May, 2024

PARMA: a Platform Architecture to enable Automated, Reproducible, and Multi-party Assessments of AI Trustworthiness.

Maximilian Pintz, Daniel Becker, Michael Mock

Proceedings of the 2nd International Workshop on Responsible AI Engineering, 2024

2022

A Survey on Uncertainty Toolkits for Deep Learning.

Maximilian Pintz, Joachim Sicking, Maximilian Poretschkin, Maram Akila

CoRR, 2022

DenseHMM: Learning Hidden Markov Models by Learning Dense Representations.

Joachim Sicking, Maximilian Pintz, Maram Akila, Tim Wirtz

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

2021

A Novel Regression Loss for Non-Parametric Uncertainty Optimization.

Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel

CoRR, 2021

2020

Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties.

Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel

CoRR, 2020