MCML at CAiSE 2024

One Accepted Paper

We are happy to announce that MCML researchers have contributed a total of 1 paper to CAiSE 2024. Congrats to our researchers!

R. S. Oyamada • G. M. Tavares • S. B. Junior • P. Ceravolo
Enhancing Predictive Process Monitoring with Time-Related Feature Engineering.
CAiSE 2024 - 36th International Conference on Advanced Information Systems Engineering. Limassol, Cyprus, Jun 03-07, 2024. DOI

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.

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.