MCML at KDD 2024

Two Accepted Papers

We are happy to announce that MCML researchers have contributed a total of 2 papers to KDD 2024. Congrats to our researchers!

T. Decker • A. Koebler • M. Lebacher • I. Thon • V. Tresp • F. Buettner
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance.
KDD 2024 - 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Barcelona, Spain, Aug 25-29, 2024. DOI

M. Kuzmanovic • D. Frauen • T. Hatt • S. Feuerriegel
Causal Machine Learning for Cost-Effective Allocation of Development Aid.
KDD 2024 - 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Barcelona, Spain, Aug 25-29, 2024. DOI

28.04.2026

Björn Ommer: How AI Can Transform Society if We Use It Responsibly

MCML PI Björn Ommer explains the philosophy behind Stable Diffusion and why his team focuses on efficiency.

23.04.2026

When Vision AI Hallucinates Details

Why do vision-language models invent details? Our PI Zeynep Akata and her team present a fix for AI hallucinations at CVPR 2026.

22.04.2026

MCML at ICLR 2026

MCML researchers are represented with 36 papers at ICLR 2026 (33 Main, and 3 Workshops).

20.04.2026

Research Highlights from Germany’s AI Competence Centers

Several research projects associated with MCML are highlighted in the “Successes of German AI Research” overview.

16.04.2026

Welcoming Achim Lilienthal to MCML

Achim J. Lilienthal joins MCML as PI, focusing on perception systems, robotics, and AI in dynamic environments.