🇬🇧 From April 13–17, MCML researchers are heading to the UK for a week of exchange and collaboration across London, Oxford, and Cambridge. Looking forward to a week of good conversations, fresh perspectives, strengthening existing collaborations, and hopefully the start of some new ones!
🌎 The #MCML was represented at a Bavarian economic delegation to the Bay Area, exploring the intersection of #AI and the thriving tech ecosystem of #SiliconValley. Thomas Meier, Science Manager for Collaborations, joined this delegation!
📢 We are hiring! Join the #MCML team as a Science Manager for Acquisition of Third-Party Funding. Application deadline: April 15, 2026.
Read more ➡️ portal.mytum.de/jobs/sonstig...
Here is the link to check out 🎉 lnkd.in/dGyqpt2j
The MCML has reached an h-index of 100! 🎉
For us, this represents many years of collaborative research and a strong partnership between #LMU and #TUM.
Thank you to everyone who has contributed along the way!
Check out our Google Scholar: scholar.google.com/citations
𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Diffusion Models are the engine behind the current wave of GenAI. But understanding how they work often means diving into heavy math, and most explanations focus only on images. MCML researchers ask: Can we explain them in one unified framework?
🔎 Read more: mcml.ai/news/2026-03...
𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Today’s AI systems are remarkably good at recognizing what stands out most. Yet understanding how details relate to each other remains difficult. #MCML Members address this challenge in their work.
🔎 Read more in our blog: mcml.ai/news/2026-02...
#Girls’Day2026: On April 23, 2026, the #MCML, together with Deep Tech Collective and CreAITech , invites girls aged 14–16 to an interactive Girls’ Day at the Hochschule für Philosophie München.
💡 Find out more: www.girls-day.de/.oO/Show/mun...
Yesterday’s #MCML-Stammtisch brought the community together — a perfect chance to exchange ideas and enjoy relaxed conversations beyond the labs 🍻
Join our #MCML Online Seminar Series, where MCML Junior Members present new papers, preprints & ongoing research — everyone who is interested is welcome!
📅 Feb 19, 3:30–4:30 PM
🎤 Dennis Frauen on nonparametric LLM evaluation from preference data
🔗 mcml.ai/events/2026-...
𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Trying to find a single moment in a 1-hour video can feel impossible. AI faces the same challenge: models that handle short clips often fail on long videos.
#MCML Members introduce a model that finds exact moments efficiently.
🔎 Read more: mcml.ai/news/2026-02...
𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: How can machines learn the hidden rules that govern how systems change—how objects move, how weather patterns unfold, or how biological signals evolve—without ever being told what those rules are?
Research from #MCML Members shows that this is possible: mcml.ai/news/2026-01...
💡 𝗠𝘂𝗻𝗶𝗰𝗵 𝗔𝗜 𝗟𝗲𝗰𝘁𝘂𝗿𝗲 with Sebastian Pokutta
🗓️ Thursday, February 12, 2026
⏱️ 05:00-6:30 PM
📍 Geschwister-Scholl-Platz 01, Munich
Find out more: baiosphere.org/en/events/20...
🌍 Research Stay at the University of St. Gallen: Andrea Maldonado spent two weeks at the Institute of Computer Science at the Universität St.Gallen, supported by the MCML AI X-Change Program. 🔎 Read more about her experience: mcml.ai/news/2026-01...
💡 𝗠𝘂𝗻𝗶𝗰𝗵 𝗔𝗜 𝗟𝗲𝗰𝘁𝘂𝗿𝗲 with Lenka Zdeborova
🗓️ Thursday, January 29, 2026
⏱️ 03:00-4:00 PM
📍 Theresienstr. 90, Munich
Find out more: baiosphere.org/en/events/20...
📢 𝗢𝘂𝗿 𝗠𝗖𝗠𝗟 𝗔𝗻𝗻𝘂𝗮𝗹 𝗥𝗲𝗽𝗼𝗿𝘁 𝗶𝘀 𝗼𝘂𝘁! 📢 We are pleased to offer an overview of our research and activities from last year. It reflects the work and commitment of the many researchers involved in our community.
Check it out here: mcml.ai/uploads/mcml...
𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Averaging patterns leads to misleading explanations, e.g., a model predicts bike rentals peak at noon, while in reality, commuters ride in the morning and evening — a common issue in machine learning.
🔎 This is addressed in a paper by #MCML researchers: mcml.ai/news/2026-01...
𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: Images and text are usually aligned using millions of image–caption pairs. But could they still be matched if they were never seen together?
In “It’s a (Blind) Match!”, MCML Members explore this question.
mcml.ai/news/2026-01...
#MCML launched the #Thinkathon, connecting AI research with real needs in the Bavarian education. MCML Members teamed up to create AI-based teaching kits that schools can actually use.
Thank you for everyone involved for your creativity, expertise, and enthusiasm!
𝗠𝗖𝗠𝗟 𝗕𝗹𝗼𝗴: LLMs are everywhere—but they still struggle to admit uncertainty. Ask a tricky question and they may sound confident, even when they are wrong.
MCML Members show how statistical methods can help LLMs stay honest about what they know (and don’t).
📄 Read more: mcml.ai/news/2025-12...
✈️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...
Yesterday’s #MCML-𝗦𝘁𝗮𝗺𝗺𝘁𝗶𝘀𝗰𝗵 was a great opportunity to connect our members across disciplines and enjoy some relaxed conversations outside the labs 🍻
