08.05.2025
Digdeep Podcast: How Do Robots Get Muscles, Prof. Christoph Keplinger?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the next episode of #digdeep, Christoph Keplinger gives information about advances in robotics. Even though humanoid robots are increasingly adopting human geometries, with their hard metal forms, they remain much less flexible than humans with adaptable muscles and highly sensitive grippers. …
08.05.2025
Christian Koke Wins ICLR 2025 Best Paper Award
Our Junior Member Honored for Work on Multiscale Graph Networks
MCML Junior Member Christian Koke and his co-authors have received the ICLR 2025 MLMP Best Paper Award for their paper “On Incorporating Scale into Graph Networks”. The award includes 2,000 GPU-hours from Nebius and honors their outstanding contribution to multiscale graph network research. …
02.05.2025
MCML Researchers With Five Papers at AISTATS 2025
28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025). Mai Khao, Thailand, 29.04.2025 - 05.05.2024
We are happy to announce that MCML researchers are represented with five papers at AISTATS 2025. Read more to get details on the topics.
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 …
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.
28.04.2025
MCML Delegation Visit to the USA
Advancing AI Research Through Transatlantic Cooperation
Generative AI and medical AI are at the forefront of technological innovation, offering transformative potential across sectors. A core delegation of around 15 researchers from MCML will showcase and discuss research in Generative AI and Medical AI, aiming to establish new partnerships and collaborative research initiatives.
28.04.2025
MCML Researchers With Eleven Papers at NAACL 2025
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2025). Albuquerque, NM, USA, 29.04.2025 - 04.05.2024
We are happy to announce that MCML researchers are represented with eleven papers at NAACL 2025. Read more to get details on the topics.
10.04.2025
Gitta Kutyniok Joins National Academy of Artificial Intelligence
Honored for Excellence in AI Research
Our PI Gitta Kutyniok has been invited to join the National Academy of Artificial Intelligence (NAAI). The invitation acknowledges her contributions to harmonic analysis, compressed sensing, and AI, as well as her recognition as SIAM Fellow (2019) and IEEE Fellow (2024). Congratulations from all of us at MCML!
10.04.2025
Text2Loc: A Smarter Way to Navigate With Words
MCML Research Insight - With Yan Xia, Zifeng Ding and Daniel Cremers
Imagine standing in an unfamiliar part of a city, no GPS in sight. All you can say is, “I’m west of a green building, near a black garage.” That might be vague to a machine, but Text2Loc understands you perfectly. With this powerful new system, AI can find your exact location in a 3D map - just from how you describe the world around you.
07.04.2025
IVADO Visits MCML
Exploring Collaboration, Global Research Opportunities, and the New AI X-Change Program
The MCML was honored by the visit of Luc Vinet, Foutse Khomh, and Josée Savard from IVADO, Montreal. IVADO is a research consortium led by Université de Montréal to advance robust, reasoning, and responsible AI.
We talked about transatlantic scientific cooperation between Germany and Canada and also about the importance of research stays for young …
04.04.2025
Digdeep Podcast: How to Bring AI Into Engineering, Philipp Noll From Spread.AI?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In another new episode of #digdeep, Philipp Noll, Co-Founder from Spread.AI talks about data networking in large-scale IT projects. Data is of central importance in modern industry, both in product engineering and in the networking of the entire process chain, which ranges from research and development to production, sales, and after-sales. Despite …
03.04.2025
Digdeep Podcast: Reinvention in Structural Change – How Schwedt Goes Digital
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the new episode of #digdeep, the podcast reports about circular economy at Schwedt and a startup-lab with Sascha Lademann. Schwedt, a town in the Uckermark region, is facing the challenge of structural change, as its traditional industries, particularly oil refineries, are no longer viable. The region is seeking new ways to shape its economic …
03.04.2025
CUPS: Teaching AI to Understand Scenes Without Human Labels
MCML Research Insight - With Christoph Reich, Nikita Araslanov, and Daniel Cremers
What matters now
Understanding the location and semantics of objects in a scene is a significant task, enabling robots to navigate through complex environments or facilitating autonomous driving. Recent AI models for understanding scenes from images require significant guidance from humans in the form of pixel-level annotations to achieve accurate …
©Florian Generotzky / LMU
01.04.2025
AI as Co-Pilot
LMU Newsroom
Our PI Stefan Feuerriegel and his team at LMU developed AI systems to assist decision-making in areas like healthcare and public administration. The AI acts as a co-pilot—analyzing data, suggesting options, and improving transparency—while final decisions remain with humans. Their goal is to make complex processes more efficient and accountable.
01.04.2025
DataFest Germany 2025
A Weekend of Data at LMU Munich
From March 28–30, LMU Munich hosted DataFest Germany 2025, bringing together 24 student teams from 15 universities for an intense 48-hour data challenge. Participants worked with a newly developed dataset on German municipalities, tackling real-world questions through data analysis and storytelling.
©Astrid Eckert / TUM
31.03.2025
Robot Jack Navigates Like a Human – A Project Led by Angela Schoellig
TUM News Article
A research team at TUM, led by our PI Angela Schoellig, has developed the mobile robot Jack, which moves safely and efficiently through crowds. This is made possible by an innovative motion planning algorithm inspired by human behavior. Jack continuously scans its surroundings using a lidar system and updates its trajectory ten times per second, …
27.03.2025
Beyond the Black Box: Choosing the Right Feature Importance Method
MCML Research Insight - With Fiona Katharina Ewald, Ludwig Bothmann, Giuseppe Casalicchio and Bernd Bischl
Machine learning models make powerful predictions, but can we really trust them if we don’t understand how they work? Global feature importance methods help us discover which factors really matter - but choosing the wrong method can lead to misleading conclusions. To see why this is important, consider a real-world example from medicine.
©TUM
24.03.2025
Azade Farshad Receives BVM Award for Top Medical Imaging Research
Our junior member Azade Farshad was awarded the BVM Award for the best thesis in medical image processing. Her work, supervised by Nassir Navab, was recognized for its innovation and excellence. The award was presented at the German Conference on Medical Image Computing (BVM), held at OTH Regensburg. Congratulations from all of us!
©aiforgood
21.03.2025
Explainable Multimodal Agents With Symbolic Representations & Can AI Be Less Biased?
Our Junior Member Ruotong Liao at United Nations AI for Good
More than 170 audiences visited the online lecture of our Junior Member Ruotong Liao on Monday, 17. March 2025, as an invited speaker at the United Nations “AI for Good”. With her talk “Perceive, Remember, and Predict: Explainable Multimodal Agents with Symbolic Representations,” Ruotong Liao took part in the online event “Explainable Multimodal …