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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 Satellite Insights for a Sustainable Future - With Researcher Ivica Obadic

 

25.08.2025

Satellite Insights for a Sustainable Future - With Researcher Ivica Obadic

Research Film

Can AI from satellite imagery help us design more liveable cities, improve well-being, and ensure sustainable food production? Ivica Obadić, PhD student at TUM and MCML, develops transparent AI models that not only predict change but also give actionable insights for urban planners.

Link to Digital Twins for Surgery - With Researcher Azade Farshad

 

18.08.2025

Digital Twins for Surgery - With Researcher Azade Farshad

Research Film

Azade Farshad researches digital twins of patients at TUM and MCML to improve personalized treatment, surgical planning, and training. Using graph-based analysis and multimodal patient data, she builds models that create realistic surgical simulations — helping surgeons preview procedures, spot potential complications, and optimize strategies.

Link to From Physics Dreams to Algorithm Discovery - With Niki Kilbertus

 

13.08.2025

From Physics Dreams to Algorithm Discovery - With Niki Kilbertus

Research Film

As a kid, Niki Kilbertus dreamed of becoming a theoretical physicist and discovering a fundamental law of nature. But when reality proved more complex, he found a new path through computer science.

Link to Tracking Actions in Space and Time: ICCV 2025 Challenge & Workshop

 

12.08.2025

Tracking Actions in Space and Time: ICCV 2025 Challenge & Workshop

MCML Research Insight - With Tanveer Hannan, Mark Weber, and Thomas Seidl

Tracking actions, not just objects: The Spatiotemporal Action Grounding Challenge and Workshop at ICCV 2025 focusses on detecting and localizing actions both in space and time within complex, real-world videos. Unlike standard action recognition, this task requires identifying when and where an action occurs, pushing models to handle long, diverse, …

Link to AI for Dynamic Urban Mapping - With Researcher Shanshan Bai

 

11.08.2025

AI for Dynamic Urban Mapping - With Researcher Shanshan Bai

Research Film

Imagine using social media to build a “living map” of our cities. Meet Shanshan Bai, MCML junior member and PhD student at TUM, who’s decoding the world around us with geo-tagged social media data.

Link to Precise and Subject-Specific Attribute Control in AI Image Generation

 

07.08.2025

Precise and Subject-Specific Attribute Control in AI Image Generation

MCML Research Insight - With Felix Krause, Vincent Tao Hu, and Björn Ommer

Text-to-image (T2I) models like Stable Diffusion have become masters at turning prompts like “a happy man and a red car” into vivid, detailed images. But what if you want the man to look just a little older, or the car to appear slightly more luxurious without changing anything else? Until now, that level of subtle, subject-specific control was …

Link to What Is Intelligence—and What Kind of Intelligence Do We Want in Our Future? With Sven Nyholm

 

06.08.2025

What Is Intelligence—and What Kind of Intelligence Do We Want in Our Future? With Sven Nyholm

Research Film

Sven Nyholm, Chair of the Ethics of AI at LMU Munich and PI at MCML, explores one of the most urgent questions in AI: how responsibility, agency, and credit shift when intelligent systems make decisions for us.

Link to AI for Better Social Media - With Researcher Dominik Bär

 

04.08.2025

AI for Better Social Media - With Researcher Dominik Bär

Research Film

Meet Dominik Bär, MCML junior member and PhD student at LMU exploring how AI can enhance the integrity of social media platforms. Dominik’s work goes beyond just detecting harmful content like hate speech and misinformation. He’s developing AI that understands why content is posted and generates thoughtful, human-like responses - so-called …

Link to From Vulnerable to Verified: Exact Certificates Shield Models From Label‑Flipping

 

31.07.2025

From Vulnerable to Verified: Exact Certificates Shield Models From Label‑Flipping

MCML Research Insight - With Lukas Gosch, Stephan Günnemann and Debarghya Ghoshdastidar

Machine‑learning models can be undermined before training even starts. By silently altering a small share of training labels - marking “spam” as “not‑spam,” for instance - an attacker can cut accuracy by double‑digit percentages. The paper “Exact Certification of (Graph) Neural Networks Against Label Poisoning” by MCML Junior Member Lukas Gosch, …

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