MCML at UAI 2021

One Accepted Paper

We are happy to announce that MCML researchers have contributed a total of 1 paper to UAI 2021. Congrats to our researchers!

Y. Wang • Y. Shen • D. Cremers
Explicit pairwise factorized graph neural network for semi-supervised node classification.
UAI 2021 - Conference on Uncertainty in Artificial Intelligence. Virtual, Jul 27-29, 2021. URL

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.

20.04.2026

Research Stay at École Polytechnique

Viktoria Ehm joined a research stay at École Polytechnique via MCML AI X-Change, working on 3D shape analysis and LLM-based methods.