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Link to Outstanding Paper Award at EMNLP 2026 for Work on Accent Bias in Audio Language Models

09.11.2026

Outstanding Paper Award at EMNLP 2026 for Work on Accent Bias in Audio Language Models

Examining the Risks of AI in Political Communication

The paper “The Cost of Sounding Different: Accent Bias in Audio Language Models” received an Outstanding Paper Award at the Conference on Empirical Methods in Natural Language Processing (EMNLP 2026) …

Link to Best Thesis Award for Sohir Maskey

06.11.2026

Best Thesis Award for Sohir Maskey

Recognition for Research on the Theoretical Foundations of Graph Neural Networks

Former MCML Junior Member Sohir Maskey received the Theoretical Foundations of Deep Learning Best Thesis Award of the DFG Priority Programme 2298. The award recognizes his PhD thesis “Theoretical …

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Link to MCML at CIKM 2026

06.11.2026

MCML at CIKM 2026

One Accepted Paper

We are happy to announce that MCML researchers have contributed a total of 1 paper to CIKM 2026. Congrats to our researchers!

Link to Munich Career Fair AI & Data Science 2026: Talents Meet Industry

04.11.2026

Munich Career Fair AI & Data Science 2026: Talents Meet Industry

Short Recap

The second Munich Career Fair AI & Data Science took place at TranslaTUM. It was co-organized by MCML, the Munich Data Science Institute (MDSI), and the Konrad Zuse School of Excellence in …

Link to Gitta Kutyniok Elected Member of acatech

02.11.2026

Gitta Kutyniok Elected Member of acatech

Bringing a Mathematical Perspective to Germany’s National Academy of Science and Engineering

MCML PI Gitta Kutyniok has been elected a member of acatech, the German National Academy of Science and Engineering. acatech brings together science, engineering, industry, and policy to advise on key …

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Link to MCML at ACM SIGSPATIAL 2026

02.11.2026

MCML at ACM SIGSPATIAL 2026

One Accepted Paper

We are happy to announce that MCML researchers have contributed a total of 1 paper to ACM SIGSPATIAL 2026. Congrats to our researchers!

Link to Best Paper Award at Yale Digital Ethics Center Symposium for Anna-Maria Brandtner

30.10.2026

Best Paper Award at Yale Digital Ethics Center Symposium for Anna-Maria Brandtner

Recognition for Research on the Ethics of AI Text Detection

MCML Junior Member Anna-Maria Brandtner, a PhD student in the group of MCML PI Benjamin Lange, received the Best Paper Award at the inaugural Digital Ethics Center Symposium (DECS) at Yale University. …

Link to Teaching Language Models to Express Uncertainty

29.10.2026

Teaching Language Models to Express Uncertainty

MCML Research Insight – With David Bani-Harouni, Chantal Pellegrini, Ege Özsoy, Kamilia Zaripova, Nassir Navab, and Matthias Keicher

An AI assistant may give a confident answer even when it is wrong. But what if it could tell us how sure it really is? MCML researchers have developed a reinforcement learning approach that teaches …

Link to Runner-Up Prize at AutoML 2026 for Tabular-DC-Bench

27.10.2026

Runner-Up Prize at AutoML 2026 for Tabular-DC-Bench

A Meta-Dataset for Hyperparameter Optimization in Deep Clustering on Tabular Data

At the International Conference on Automated Machine Learning (AutoML 2026), the paper “Tabular-DC-Bench” received the runner-up prize in the ABCD track (Applications, Benchmarks, Challenges, and …

Link to Welcoming Ewa Szczurek to MCML

27.10.2026

Welcoming Ewa Szczurek to MCML

Developing Probabilistic and Generative Models for Cancer, Lung Diseases, and Antibiotic Resistance

We are pleased to welcome Ewa Szczurek as a Principal Investigator. Ewa Szczurek is Professor of AI in Life Sciences at LMU Munich, associate professor at the University of Warsaw, and Director of the …

Link to Best Paper Award at AIES 2026 for Work on Algorithmic Contestability

26.10.2026

Best Paper Award at AIES 2026 for Work on Algorithmic Contestability

Why Explainable AI Is Not Enough to Challenge Algorithmic Decisions

The paper “Explainable AI Isn’t Enough! Rethinking Algorithmic Contestability” received the Best Paper Award at the Ninth AAAI/ACM Conference on AI, Ethics, and Society (AIES 2026). The paper was …

Link to Digdeep Podcast: Technology, Power & Society – What Can We Learn From the History of IT?

23.10.2026

Digdeep Podcast: Technology, Power & Society – What Can We Learn From the History of IT?

News From the Digital World by MCML PI Frauke Kreuter and Christof Horn

In this episode of #digdeep, historian Debora Gerstenberger talks about the influence of the IT history. Technological developments often seem inevitable in retrospect, but they are shaped by decisions …

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