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

10.04.2026

MCML at CHI 2026

MCML researchers are represented with 6 papers at CHI 2026.

10.04.2026

MCML at ICPC 2026

MCML researchers are represented with 1 paper at ICPC 2026.

09.04.2026

Nikita Araslanov Receives Prestigious Emmy Noether Grant

Nikita Araslanov, MCML Junior Member, awarded Emmy Noether Grant to establish an independent AI research group at TUM.

02.04.2026

How AI Avatars Shape Perceived Fairness

Accepted at CHI 2026, this study shows how the race and gender of AI interview avatars shape perceptions of fairness and bias in automated hiring.

31.03.2026

GRaM Competition @ ICLR 2026

GRaM Competition 2026 challenges participants to predict airflow dynamics using AI on 3D geometries. Deadline: April 22 (AoE).