26.10.2023
©LMU
New Paper Co-Authored by Our PI Stefan Feuerriegel
Building Open-Source AI
Our PI Stefan Feuerriegel argues why more AI should be build around open-source principles to be more accessible to everyone.
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12.11.2026
One Toolbox for Many Kinds of Uncertainty
MCML researchers introduce probly, a unified Python package for uncertainty-aware machine learning, presented orally at NeurIPS 2026.
09.11.2026
Outstanding Paper Award at EMNLP 2026 for Work on Accent Bias in Audio Language Models
A paper co-authored by MCML PI Valentin Hofmann on accent bias in audio language models won an Outstanding Paper Award at EMNLP 2026.