28.06.2024

MCML at COLT 2024

One Accepted Paper

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

C. M. Verdun • O. Melnyk • F. Krahmer • P. Jung
Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence.
COLT 2024 - 37th Annual Conference on Learning Theory. Edmonton, Canada, Jun 30-Jul 03, 2024. URL

16.09.2026

Vincent Fortuin Receives ERC Starting Grant for Reliable Small-Data AI

MCML PI Vincent Fortuin receives an ERC Starting Grant for AutoBayes, advancing reliable AI methods for learning from small datasets.

14.09.2026

Björn Eskofier: The Missing Ingredient for AI in Medicine Is Real-World Data

MCML PI Björn Eskofier explains why real-world data is key to using AI for personalized treatment and more empowered healthcare.

07.09.2026

MCML at ECCV 2026

MCML researchers are represented with 28 papers at ECCV 2026.

04.09.2026

MCML at ECML-PKDD 2026

MCML researchers are represented with 6 papers at ECML-PKDD 2026.

03.09.2026

Julia Schnabel: What if a Broken Rib Could Save Your Life?

MCML PI Julia Schnabel explores how AI can uncover hidden signs of disease in medical images that might otherwise go undetected.

2024-06-28 - Last modified: 2024-06-28