MCML at ACM SIGSPATIAL 2019

One Accepted Paper

We are happy to announce that MCML researchers have contributed a total of 1 paper to ACM SIGSPATIAL 2019. Congrats to our researchers!

F. Borutta • S. Schmoll • S. Friedl
Optimizing the Spatio-Temporal Resource Search Problem with Reinforcement Learning.
ACM SIGSPATIAL 2019 - 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Chicago, ILL, USA, Nov 05-08, 2019. 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.