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

08.05.2026

Right Answer, Wrong Reasoning - Is AI Thinking or Cheating?

Can AI cheat without us noticing? Our PI Barbara Plank and her team introduce a new detection method at ICLR 2026.

07.05.2026

MCML Delegation Visit to the UK

MCML delegation visited top U.S. universities to advance AI X-Change and foster collaboration in generative and medical AI.

01.05.2026

MCML at AISTATS 2026

MCML researchers are represented with 8 papers at AISTATS 2026 (7 Main, and 1 Workshop).

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.