MCML at KDD 2024

Two Accepted Papers

We are happy to announce that MCML researchers have contributed a total of 2 papers to KDD 2024. Congrats to our researchers!

T. Decker • A. Koebler • M. Lebacher • I. Thon • V. Tresp • F. Buettner
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance.
KDD 2024 - 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Barcelona, Spain, Aug 25-29, 2024. DOI

M. Kuzmanovic • D. Frauen • T. Hatt • S. Feuerriegel
Causal Machine Learning for Cost-Effective Allocation of Development Aid.
KDD 2024 - 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Barcelona, Spain, Aug 25-29, 2024. DOI

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.