We attract the most promising researchers from all career levels to our center and transfer innovations and AI potential to industry and society.
MCML is one of six national AI Competence Centers. It is funded on a permanent basis by the German and Bavarian government's AI strategy, and brings together the leading ML researchers from LMU, TUM and associated institutions.
Unite leading researchers in Germany, to strengthen international, national and regional competence in the field of ML and AI. We foster talent and make corresponding potential accessible to users from science, industry and society.
29.04.2025
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
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 …
28.04.2025
We are happy to announce that MCML researchers are represented with eleven papers at NAACL 2025. Read more to get details on the topics.
06
May
Pitchtalk Series • 06.05.2025 • Daiichi Sankyo, Munich Office
4:00 pm - 6:00 pm
On May 6th, the MCML will have its next Pitchtalk with Industry. That day, we will visit Daiichi Sankyo. At their Munich Office, from 16:00 - 18:00.
08
May
Seminar • 08.05.2025 • Seminar Room Statistics, LMU
4:00 pm - 6:00 pm
Exclusive for MCML PhD Students We invite our MCML PhD Students to a seminar, panel and workshop focused on key questions surrounding the PhD journey, including:
14
May
Colloquium • 14.05.2025 • LMU Department of Statistics and via zoom
4:15 pm - 5:45 pm
Given that all models are wrong, it is important to understand the performance of methods when the settings for which they have been designed are not met, and to modify them where possible so they are robust to these sorts of departures from the …
2018-12-10 - Last modified: 2025-04-29