31.07.2025
From Vulnerable to Verified: Exact Certificates Shield Models From Label‑Flipping
MCML Research Insight - With Lukas Gosch and Stephan Günnemann
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 …
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 …
©LMU
29.07.2025
Yusuf Sale Receives IJAR Young Researcher Award
Award for Promising Work in Uncertainty Quantification at ISIPTA 2025
MCML Junior Member Yusuf Sale has been honored with one of the IJAR Young Researcher Awards at ISIPTA 2025. This prestigious award, presented by the International Journal of Approximate Reasoning, recognizes early-career researchers for outstanding contributions in the field of imprecise …
©LMU
29.07.2025
Barbara Plank Awarded 2025 Imminent Research Grant for Work on Language Data
Supporting Innovative Research at the Intersection of Language and AI
We are proud to announce that Barbara Plank, MCML PI and Professor of AI & Computational Linguistics at LMU Munich, has received the 2025 Imminent Research Grant for her work on language data together with Siyao (Logan) Peng and Marie-Catherine de Marneffe. Congratulations to Barbara and the team!
©TUM
29.07.2025
AI Research by Daniel Rückert Improves Medical Imaging and Data Privacy
TUM News Article
MCML Director Daniel Rückert and his team are developing AI technologies to improve diagnostic imaging and protect patient data. Their research includes federated learning approaches that allow models to learn from clinical data without sharing sensitive information, as well as privacy-enhancing techniques like added data noise. Their methods are …
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 …
25.07.2025
MCML Stammtisch - Recap
July Edition
Conversations, new connections and lots of pizza and drinks at our MCML Stammtisch, yesterday. Our Stammtisch is a regular informal meetup for all members. It’s a relaxed setting where researchers come together to chat about current projects, exchange ideas, or simply unwind and talk about life beyond the lab.
25.07.2025
Industry Pitch Talks Recap
Visit to SAP Labs
On July 22nd, we visited SAP Labs in Garching and had an event of our series “MCML Pitchtalks with Industry”.
- Yunpu Ma presented his latest work on Agentic AI.
- Ivica Obadic talked about AI applications in Earth Observation and Energy Conservation.
- Maximilian Muschalik presented his work on uncertainty quantified research in ML.
25.07.2025
MCML Researchers With 36 Papers at ACL 2025
63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025). Vienna, Austria, 27.07.2025 - 01.08.2025
We are happy to announce that MCML researchers are represented with 36 papers at ACL 2025. Read more to get details on the topics.
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 …
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?
©LMU/Stephan Höck
23.07.2025
Philipp Wicke Explores Embodied AI
LMU Newsroom
MCML Junior Member Philipp Wicke explores the role of the body in artificial intelligence in a recent article. He highlights how embodiment, the connection between physical presence and intelligence, could be essential for developing more capable and grounded AI systems. The article focuses on the idea of embodiment and how physical interaction with …
18.07.2025
Digdeep Podcast: Should Everyone Have Their Own AI Twin, Prof. Dr. Albrecht Schmidt?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the new episode of #digdeep, our PI Albrecht Schmidt talks about the possibility and chances of AI twins in the future. Everyone uses AI based chatbot models. Would it also be possible to have our own AI model trained with our life data? Such personalized AI models could act as digital twins, coaches, or advisors, thus expanding our capabilities. …
18.07.2025
Outstanding Paper Award at ICML 2025 for MCML Researchers
Unai Fischer Abaigar and Christoph Kern Honored for Their Paper on Identifying the Worst-Off Through Prediction
We are proud to share that the paper “The Value of Prediction in Identifying the Worst-Off” by our Junior Member Unai Fischer Abaigar, and Associate Christoph Kern, and collaborator Juan Carlos Perdomo from Harvard University has been selected for an Outstanding Paper Award at ICML 2025. Only six papers received this prestigious recognition this …