08.09.2025
Niki Kilbertus Receives Prestigious ERC Starting Grant
Award Supports Project “DYNAMICAUS” on Causal Modeling in Complex Systems
MCML PI Niki Kilbertus has been awarded a prestigious ERC Starting Grant by the European Research Council. The grant supports his project DYNAMICAUS, which combines machine learning, causal inference, and mechanistic modeling to study interventions in complex systems. By advancing methods that …
08.09.2025
3D Machine Perception Beyond Vision - With Researcher Riccardo Marin
Research Film
Can AI understand the world in 3D the way we do? Riccardo Marin, researcher at TUM and MCML, works at the intersection of computer vision and 3D geometry to teach machines how to perceive shapes, patterns, and spatial structures. His work ranges from detecting production flaws in manufacturing to …
01.09.2025
Gitta Kutyniok Appears on ARD Audiothek
Discussing AI and Machine Learning in Today’s Research
Our PI Gitta Kutyniok appeared as a guest on the IQ – Wissenschaft und Forschung podcast on ARD Audiothek. The episode, titled “Grüne Rechenzentren – Wie werden sie klimaneutral?”, explores how data centers can operate climate-neutrally despite rising energy demands from AI applications. Gitta …
01.09.2025
AI for Personalized Psychiatry - With Researcher Clara Vetter
Research Film
Can AI help us understand why some people develop mental disorders while others remain resilient? Clara Vetter, PhD candidate at LMU and MCML, uses machine learning to uncover hidden patterns in brain scans, genetic data, and even smartphone-based information. Her goal: identifying biological markers that could improve diagnosis and treatment in …
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.
21.08.2025
Björn Ommer Featured on IT-BUSINESS Podcast
Generative AI in Germany
MCML PI Björn Ommer was a guest on the eighth episode of the IT-BUSINESS podcast IT ImPuls. Together with hosts Mihriban Dincel and Agnes Panjas, he discussed the current state of generative AI in Germany, the strategic opportunities it offers, and the importance of digital sovereignty and open-source initiatives for staying competitive in the …
©Andreas Heddergott / TUM
19.08.2025
Nils Thuerey Develops New Method for Realistic Fluid Simulation
TUM News Article
MCML Principal Investigator Nils Thuerey and his team at TUM have introduced a novel approach that enables highly realistic simulations of fluids, capturing the complex interplay of air and water. The method holds promise for applications in visual effects, scientific research, and engineering.
18.08.2025
Mingyang Wang Receives Award at ACL 2025
Award for Impactful Contribution to Reliable and Inclusive NLP
MCML Junior Member Mingyang Wang has been honored with the SAC Highlights Award at ACL 2025 for the paper “Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models.” This award recognizes impactful research advancing the understanding of factual consistency across languages in large language models, …
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.
14.08.2025
Digdeep Podcast: From University to CEO and Back – Entrepreneurship at LMU With Philipp Baaske
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the new episode of #digdeep, Philipp Baaske let us know, how he turned his doctoral research into the globally successful company NanoTemper, which offers innovative machines for the pharmaceutical industry. The German education system opened up this opportunity for him, and he sees it as his duty to give something back to society. Starting in …
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, …
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 …
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.
05.08.2025
MCML PI Björn Schuller Featured in ARD Documentary on AI and Depression Therapy
Depression - How to Get Out of It?
In the recent ARD documentary “Depression – wie kommt man wieder raus?", MCML Principal Investigator Björn Schuller shares insights on the role of artificial intelligence in mental health care. He discusses how AI systems can support the diagnosis and treatment of depression by analyzing voice, facial expressions, and behavior patterns. These …
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 …
01.08.2025
Stephan Günnemann Featured in BR24
Autonomous AI Agents: Support or Takeover?
MCML PI Stephan Günnemann was recently featured in a BR24 segment discussing the rise of autonomous AI agents. He clarified the key distinction between AI assistants like ChatGPT and true agents: autonomy in both planning and execution. While companies such as Softbank envision agents taking over tasks from programming to corporate decision-making, …
01.08.2025
Fabian Theis Receives 2025 ISCB Innovator Award
Recognized for Advancing AI-Driven Biological Research
MCML PI Fabian Theis has been awarded the 2025 ISCB Innovator Award by the International Society for Computational Biology. The award honors leading scientists who have made progressive contributions to computational biology and opened new directions in the field. Congratulations from us!
01.08.2025
MCML Hosts “AI and School in Dialogue”
How Can Schools Prepare the Next Generation for an AI-Driven World?
This week, the Munich Center for Machine Learning hosted the event „KI und Schule im Dialog – Forschung, Bildungspolitik und Unterrichtspraxis” (AI and school in dialogue - research, education policy and teaching practice).
01.08.2025
Digdeep Podcast: Merantix – How Do You Build Europe's Most Successful AI Campus, Rasmus Rothe?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the new episode of #digdeep, Rasmus Rothe explains, how the company Merantix from Berlin combines AI startups, investments, and applications. Europe has developed significant artificial intelligence methods and plays a central role in industrial applications. The fundamental AI models are increasingly becoming common knowledge and readily …
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, …
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 …
©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 probabilities and uncertainty quantification. Congratulations …
©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 37 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 37 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 …