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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 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, …

Link to Tracking Our Changing Planet From Space - With Xiaoxiang Zhu

30.07.2025

Tracking Our Changing Planet From Space - With Xiaoxiang Zhu

Research Film

From dreaming of seeing the Earth from space to leading efforts to understand our planet using AI and satellite data to tackle urgent global challenges. Xiaoxiang Zhu, Chair Professor for Data Science in Earth Observation at TUM and PI at MCML, develops machine learning systems that analyze petabytes of satellite imagery. Her work focuses on …

Link to AI for Enhanced Eye Diagnostics - With Researcher Lucie Huang

29.07.2025

AI for Enhanced Eye Diagnostics - With Researcher Lucie Huang

Research Film

Curious how AI is revolutionizing the treatment of eye diseases? Learn more about what AI can do for ophthalmology with Lucie Huang, MCML junior member and PhD student at TUM, who is developing AI for sharper and faster eye scans. This means earlier diagnoses and better treatments for critical eye conditions like diabetes-related damage. Discover …

Link to SceneDINO: How AI Learns to See and Understand Images in 3D–Without Human Labels

24.07.2025

SceneDINO: How AI Learns to See and Understand Images in 3D–Without Human Labels

MCML Research Insight - With Christoph Reich, Felix Wimbauer, and Daniel Cremers

Imagine looking at a single image and trying to understand the entire 3D scenery–not just what’s visible, but also what’s occluded. Humans do this effortlessly: when we see a photo of a tree, we intuitively grasp its 3D structure and semantic meaning. We learn this ability through interaction and movement in the 3D world, without explicit …

Link to How Reliable Are Machine Learning Methods? With Anne-Laure Boulesteix and Milena Wünsch

23.07.2025

How Reliable Are Machine Learning Methods? With Anne-Laure Boulesteix and Milena Wünsch

Research Film

Often a new machine learning method claims to outperform the last. Whether it’s in bioinformatics, finance, or image recognition, the message is the same: this algorithm is faster, more accurate, more powerful. But can we trust those claims?

Link to  AI-Powered Cortical Mapping for Neurodegenerative Disease Diagnoses - With Christian Wachinger

16.07.2025

AI-Powered Cortical Mapping for Neurodegenerative Disease Diagnoses - With Christian Wachinger

Research Film

Christian Wachinger, Professor of AI in Radiology at the Technical University of Munich and PI at MCML, is developing AI systems to precisely reconstruct the brain’s cortex — an extremely thin and highly folded sheet of neural tissue — in order to measure it for diagnostic use.

Link to Beyond Prediction: How Causal AI Enables Better Decision-Making - With Stefan Feuerriegel

10.07.2025

Beyond Prediction: How Causal AI Enables Better Decision-Making - With Stefan Feuerriegel

Research Film

A good prediction is rarely a good decision. This may sound surprising in an age where AI is often celebrated for its predictive power. But when it comes to making real-world decisions — especially in complex environments like business or healthcare — prediction alone doesn’t cut it. What we need is AI that can help us choose what to do, not just …

Link to Capturing Complexity in Surgical Environments

09.07.2025

Capturing Complexity in Surgical Environments

MCML Research Insight - With Ege Özsoy, Chantal Pellegrini, Felix Tristram, Kun Yuan, David Bani-Harouni, Matthias Keicher, Benjamin Busam and Nassir Navab

Imagine an operating room - a space filled with intricate interactions, rapid decisions, and precise movements. Now, imagine capturing every detail of such a complex environment not just visually but also through sound, dialogue, robot movements, and much more. This is exactly what MM-OR – A Large Multimodal Operating Room Dataset for Semantic …

Link to How Neural Networks Are Changing Medical Imaging – With Reinhard Heckel

06.07.2025

How Neural Networks Are Changing Medical Imaging – With Reinhard Heckel

Research Film

Clear imaging is essential for accurate diagnosis — but when it comes to the heart, motion makes it one of the most difficult organs to capture in high resolution. Traditional reconstruction methods often struggle to deliver the detail clinicians need.

Link to What Words Reveal: Analyzing Language in the Trump–Harris 2024 Debate

26.06.2025

What Words Reveal: Analyzing Language in the Trump–Harris 2024 Debate

MCML Research Insight - With Philipp Wicke

In presidential debates, every word counts - not only what candidates say but how they say it. Words are carefully selected to resonate with voters’ values, fears, and hopes. A new insightful study by MCML Junior Member Philipp Wicke and Marianna M. Bolognesi dives deep into the September 10, 2024 debate between Donald Trump and Kamala Harris.

Link to When Clinical Expertise Meets AI Innovation – With Michael Ingrisch

25.06.2025

When Clinical Expertise Meets AI Innovation – With Michael Ingrisch

Research Film

Artificial intelligence has enormous potential in radiology — but realizing it requires more than good algorithms. Michael Ingrisch, Clinical Data Science Professor at LMU and MCML PI, shares how his team took a practical approach: identifying a key diagnostic challenge in PET CT imaging and inviting the broader AI community to help solve it.

Link to Autonomous Driving: From Infinite Possibilities to Safe Decisions— With Matthias Althoff

23.06.2025

Autonomous Driving: From Infinite Possibilities to Safe Decisions— With Matthias Althoff

Research Film

How can we guarantee that autonomous vehicles always make the right decision in unpredictable traffic?
Matthias Althoff, Professor at the chair of Cyber-Physical Systems at the Technical University of Munich and MCML PI, explores the complex challenge of ensuring safety in AI-powered driving systems.

Link to Zooming in on Moments: ReVisionLLM for Long-Form Video Understanding

20.06.2025

Zooming in on Moments: ReVisionLLM for Long-Form Video Understanding

MCML Research Insight - With Tanveer Hannan and Thomas Seidl

Imagine watching a two-hour video and trying to find the exact moment someone scores a goal - or says something important. Humans can do this with ease by skimming and zooming in. But for AI, finding specific moments in long videos is incredibly hard. Most current AI systems struggle to handle more than a few minutes of video at a time. They often …

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 Better Data, Smarter AI: Why Quality Matters – With Frauke Kreuter

11.06.2025

Better Data, Smarter AI: Why Quality Matters – With Frauke Kreuter

Research Film

How does data quality shape the future of AI? Frauke Kreuter, Professor at the Chair of Statistics and Data Science at LMU Munich and MCML PI, shares her insights on the fundamental role of data quality in the development and deployment of AI.

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