26.06.2026

MCML at COLT 2026

Two Accepted Papers

We are happy to announce that MCML researchers have contributed a total of 2 papers to COLT 2026. Congrats to our researchers!

T. Nagler • S. Langer
Optimal neural network approximation of smooth compositional functions on sets with low intrinsic dimension.
COLT 2026 - 39th Annual Conference on Learning Theory. San Diego, CA, USA, Jun 29-Jul 03, 2026. URL

A. Soleymani • B. Tahmasebi • P. Jaillet • S. Jegelka
Efficient Learning and Symmetry Discovery under Exact Invariances.
COLT 2026 - 39th Annual Conference on Learning Theory. San Diego, CA, USA, Jun 29-Jul 03, 2026. URL

23.10.2026

MCML at EMNLP 2026

MCML researchers are represented with 33 papers at EMNLP 2026 (21 Main, 11 Findings, and 1 Workshop).

15.10.2026

When Flatter Is Not Always Better

In their ICML 2026 paper, MCML researchers show why the flattest regions found during neural network training are not always the best.

13.10.2026

Björn Schuller: What Your Voice Reveals About Your Health

MCML PI Björn Schuller explores how AI can analyze the human voice to detect signs of disease and reveal insights into our health.

09.10.2026

MCML at CSCW 2026

MCML researchers are represented with 1 paper at CSCW 2026.

08.10.2026

Best Paper Award at ASMUS workshop at MICCAI 2026

Ultra-Wide-NeRF, co-authored by MCML PI Nassir Navab and team, won the Best Paper Award at the ASMUS workshop at MICCAI 2026.

2026-06-26 - Last modified: 2026-06-26