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

20.03.2026

MCML Reaches H-Index of 100

MCML reaches an h-index of 100, marking a milestone achieved through years of collaboration with LMU Munich, TUM, and research partners worldwide.

19.03.2026

Teaching Models to Say ‘I’m Not Sure’

Unified diffusion theory for images and text, bridging continuous and discrete models in one clear framework for generative AI.

12.03.2026

Frauke Kreuter becomes AAAS Fellow

MCML PI Frauke Kreuter has been elected a Fellow of the American Association for the Advancement of Science (AAAS).

12.03.2026

MCML Members Receive Best Paper Award at GOR 2026

Christoph Kern and Jan Simson received the Best Paper Award at the GOR 2026 Conference in Cologne together with Fiona Draxler and Samuel Mehr.

12.03.2026

MCML Members Receive Honourable Mention at CHI 2026

MCML PI Enkelejda Kasneci and MCML Junior Member Ka Hei Carrie Lau have received an Honourable Mention Award at CHI 2026 for their paper.