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Research Blog

Welcome to our research blog, where we proudly showcase the talents and achievements of our researchers, with a special focus on our junior members. Here, you’ll gain insight into their innovative work and the fresh ideas they bring to the ever-evolving fields of AI and machine learning.

Link to Why Causal Reasoning Is Crucial for Reliable AI Decisions

12.06.2025

Why Causal Reasoning Is Crucial for Reliable AI Decisions

MCML Research Insight - With Christoph Kern, Unai Fischer-Abaigar, Jonas Schweisthal, Dennis Frauen, Stefan Feuerriegel and Frauke Kreuter

As algorithms increasingly make decisions that impact our lives, from managing city traffic to recommending hospital treatments, one question becomes urgent: Can we trust them?

Link to Who Spreads Hate?

30.04.2025

Who Spreads Hate?

MCML Research Insight – With Dominique Geissler, Abdurahman Maarouf, and Stefan Feuerriegel

Hate speech on social media isn’t just offensive - it’s dangerous. It spreads quickly, harms mental health, and can even contribute to real-world violence. While many studies have focused on identifying hate speech or profiling those who create it, a key piece of the puzzle remained missing: Who reshares hate speech? The team at MCML - Dominique …

Link to How Certain Is AI? An Introduction to Bayesian Deep Learning

29.04.2025

How Certain Is AI? An Introduction to Bayesian Deep Learning

Researcher in Focus: Emanuel Sommer

MCML Junior Member Emanuel Sommer is a PhD-student at the Munich Uncertainty Quantification AI Lab at LMU Munich supervised by David Rügamer. His research focuses on Scalable and Reliable (Bayesian) Deep Learning.

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