French-German Machine Learning Symposium

May 10th & 11th 2021, Munich, Germany (Virtual)

We invited some of the leading ML researchers from France and Germany to this two day symposium to give a glimpse into their research, and engage in discussions on the future of machine learning and how to strengthen research collaborations in ML between France and Germany.

The symposium is co-organized by our Director Daniel Cremers and his team.

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02.06.2026

Benjamin Lange: The Real Risk of AI Agents Is Manipulation Through Kindness

MCML Junior Research Group Leader Benjamin Lange examines how trust in AI agents can itself become a source of risk.

02.06.2026

MCML at CVPR 2026

MCML researchers are represented with 28 papers at CVPR 2026 (26 Main, and 2 Workshops).

29.05.2026

MCML at ICRA 2026

MCML researchers are represented with 3 papers at ICRA 2026.

28.05.2026

Zeynep Akata: To Trust AI, We Need to Understand What Goes on Behind the Scenes

MCML PI Zeynep Akata explains that to trust AI, we must understand its inner workings, address foundation model bias, and make explainability central.

27.05.2026

Medical Diagnoses: How AI Explanations Help Doctors

Stefan Feuerriegel shows that AI models can improve diagnostic accuracy in radiology – but how the AI explains its recommendations is crucial.

French-German Machine Learning Symposium

May 10th & 11th 2021, Munich, Germany (Virtual)

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