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The MCML is a joint research initiative of LMU München and TU München. It is institutionally funded by the Federal Ministry of Education and Research and the Free State of Bavaria.
✈️This summer, Abdurahman Maarouf spent three months as a visiting researcher at Princeton University. In our blog, he reflects on his time abroad — his research, the academic exchange on campus, and life beyond work.
🔍Read more: mcml.ai/news/2025-12...
The #MCML held its annual General Assembly last week, bringing members together for updates, networking, and discussion. A major highlight were the 30+ Flash Talks from Junior Members showcasing their ongoing research.
Great to see the community come together!
#MCML researchers have contributed more than 40 papers to NeurIPS 2025! Check them out: mcml.ai/news/2025-11...
Congrats to our researchers! 🎉 #NeurIPS2025
𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Models like CLIP link images and text (“a dog playing with a ball” → 🐕 ⚽ 🌱) and enable zero-shot recognition. But they still struggle with fine details.
MCML members tackle this challenge with more fine-grained, language-guided image representations.
📄 Read more: mcml.ai/news/2025-11...
Data is everywhere — and knowing how to make sense of it is essential. The Data Science Certificate Program at #LMU in collaboration with #MCML is a part-time academic training course. It is designed for working professionals in academia and industry.
🔎 Find out more: mcml.ai/news/2025-10...
✈️ As part of the #MCML AI X-Change, Kun Yuan visited Stanford and joined Serena Yeung-Levy’s lab in Biomedical Data Science. In our blog, he shares his key learnings, projects, and insights from working at the intersection of AI and biomedicine.
🔎 Read more: mcml.ai/news/2025-11...
𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Diffusion models like Stable Diffusion are powerful, but scaling them to large images or videos is still slow and memory-intensive. ZigMa speeds up processing of bigger images with less memory—while preserving visual quality and model expressiveness.
📄 Read more: mcml.ai/news/2025-11...
𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Businesses are increasingly turning to exosuits to support warehouse workers with repetitive movements. In a new paper, MCML researchers show how these exosuits can be fine tuned with AI.
📄 Blog: mcml.ai/news/2025-11...
🗞️ Börsen-Zeitung: www.boersen-zeitung.de/meinung-anal...
#EMNLP2025 is currently happening in Suzhou, China and #MCML researchers have contributed a total of 37 papers to the conference! 🎉 Check them out: mcml.ai/news/2025-11...
05.11.2025 15:35 — 👍 1 🔁 0 💬 0 📌 0
Yesterday’s #MCML-𝗦𝘁𝗮𝗺𝗺𝘁𝗶𝘀𝗰𝗵 was a great opportunity to connect our members across disciplines and enjoy some relaxed conversations outside the labs 🍻
22.10.2025 06:25 — 👍 2 🔁 0 💬 0 📌 0
#MCML researchers have contributed a total of 20 papers to #ICCV2025! Check them out: mcml.ai/news/2025-10...
20.10.2025 14:29 — 👍 1 🔁 0 💬 0 📌 0
𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Deep learning is increasingly helping doctors. However, it’s often hard to understand how these models make decisions.
To change that, #MCML members built SIC, a transparent AI classifier that makes image diagnosis both intuitive and reliable.
📄 Read more: mcml.ai/news/2025-10...
𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗳𝘂𝗹𝗹𝘆 𝗳𝘂𝗻𝗱𝗲𝗱 𝗣𝗵𝗗 𝗣𝗼𝘀𝗶𝘁𝗶𝗼𝗻𝘀: We are offering several PhD positions across our various research areas, open to highly qualified candidates.
‼️ The application portal will be open from 15 October to 14 November 2025.
Find out more: mcml.ai/opportunitie...
Unai Fischer Abaigar is a PhD student at #LMU and #MCML whose work focuses on improving decision-making in public institutions by developing AI systems that are both fair and effective in practice. Check out the interview
👉https://mcml.ai/news/2025-10-09-fischer-abaigar-unai-interview/
Meet Kerstin Forster, researcher at #LMU & #MCML, using machine learning to cut emissions, boost renewable energy, and track corporate sustainability — driving strategies for a healthier planet.
youtu.be/9mYRnXsyvLg
Matthias Feurer, Thomas Bayes Fellow at #MCML & interim prof at #LMU, builds tools to make ML easier for scientists & more efficient for experts. Next semester he starts as junior prof at TU Dortmund—sharing in our interview how the fellowship helped him get there: mcml.ai/news/2025-09...
26.09.2025 12:26 — 👍 0 🔁 0 💬 0 📌 3
𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Ever rerun feature importance plots and get different “top features”? That randomness comes from how explanations sample data.
A #ICLR2025 paper by MCML researchers flips this: Compress Then Explain (CTE) makes model explanations more accurate.
📄 Read more: mcml.ai/news/2025-09...
#MICCAI2025 starts today and we are happy that #MCML researchers are represented with 24 papers! Congrats to our researchers! 🎉
Check them out: mcml.ai/news/2025-09...
Meet Simon Schallmoser, researcher at #LMU & #MCML, who uses machine learning to forecast conditions and personalize care — from detecting low blood sugar in diabetic drivers to paving the way for safer, proactive healthcare.
youtu.be/fZA5gJxX704
𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Identifying an object’s pose from partial data is like spotting a mug when only the handle is visible.
GCE-Pose, a new method by #MCML Members and collaborators, presented at CVPR 2025, takes on this challenge with finesse.
📄 More on our blog: mcml.ai/news/2025-09...
✈️🇺🇸 AI X-Change Spotlight: The #MCML 𝗔𝗜 𝗫-𝗖𝗵𝗮𝗻𝗴𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 supports our Members in collaborating internationally with leading research institutions. PhD student Hannah Laus spent 11 weeks at Harvard University. She shares her experience in a new blogpost: mcml.ai/news/2025-09...
17.09.2025 08:26 — 👍 1 🔁 0 💬 0 📌 0
The event Comparing Notes on Trustworthy AI explores the rise of AI agents and personal assistants—and the ethical challenges they pose.
🎙 Gitta Kutyniok (LMU/MCML), Lena Kästner (Uni Bayreuth), Barbara Plank (LMU/MCML)
💡 September 25, 2025 · 5:30 pm
🔗 Register: www.eventbrite.de/e/comparing-...
We are hiring! Join the #MCML team as a Science Manager for acquisition of third-party funding. Application deadline: October 05, 2025.
Read more ➡️ portal.mytum.de/jobs/sonstig...
Meet Yannick Burkhardt, researcher at #TUM & #MCML, using event cameras that capture changes in light up to a million times per second – giving machines lightning-fast perception for robotics and self-driving cars.
youtu.be/QJD5qnIb7z4
Meet Riccardo Marin, researcher at #TUM & #MCML, exploring computer vision and 3D geometry. From detecting flaws in manufacturing to studying the human body, his work brings machine perception closer to human experience.
youtu.be/ngC3NHy6_4U
AI and Memory Workshop
On Oct 29 in Munich researchers from MCML BAdW and bidt meet to discuss how AI algorithms influence individual and collective memory with expert talks and networking #AI #Memory #MCML #BAdW #bidt
MCML and LAMARR join forces in Bonn Sept 24–25 to explore generative AI and NLP with talks from PhD students postdocs and senior researchers plus networking to build collaborations #AI #NLP #MCML #LAMARR
02.09.2025 08:53 — 👍 2 🔁 0 💬 0 📌 0Meet Clara Sophie Vetter, PhD student at #LMU & #MCML, who uses AI to find hidden patterns in brain scans, genetic data & smartphone data 🧠. Her goal: identify biomarkers to predict mental health risks & enable more personalized psychiatric care.
youtu.be/MPjdJ11eL6k
Meet Ivica Obadic, PhD student at #TUM & #MCML, who develops transparent AI models to analyze satellite images 🌍. His work detects and predicts urban changes, giving city planners explainable recommendations to design more sustainable, livable cities.
youtu.be/Qlur0GgsXcA
Meet Azade Farshad who develops digital twins of patients at #TUM & #MCML to improve treatment, surgical planning & training. Using graph-based analysis and multimodal data, she creates realistic surgical simulations to preview procedures & optimize strategies.
www.youtube.com/watch?v=9D1Q...
