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A top spot for AI and ML research in Europe

We attract the most promising researchers from all career levels to our center and transfer innovations and AI potential to industry and society.

PIs at MCML


Principal Investigators

Junior Members at MCML

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Junior Members

Publications of MCML

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Publications

Who we are

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.

Our Vision

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.

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Latest News

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Link to MCML at CVPR 2024

14.06.2024

MCML at CVPR 2024

The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR 2024). Seattle, Washington, United States, June 17-21, 2024

We are happy to announce that MCML researchers are represented at the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR 2024).

Link to MCML at NAACL 2024

14.06.2024

MCML at NAACL 2024

The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). Mexico City, Mexico, June 16-21, 2024

We are happy to announce that MCML researchers are represented at the 12th International Conference on Learning Representations (NAACL 2024).

Link to Leopoldina Prize for Young Scientists for MCML PI Niki Kilbertus

13.06.2024

Leopoldina Prize for Young Scientists for MCML PI Niki Kilbertus

Our PI Niki Kilbertus was awarded the Leopoldina Prize for Young Scientists for his research and teaching achievements. He focuses on the research and development of fair and transparent machine learning. Congrats from us!

Next Events

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19

Jun

Link to Resampling-based inference for the average treatment effect in observational studies with competing risks

Colloquium  •  19.06.2024  •  LMU Department of Statistics and via zoom

4:15 pm - 5:45 pm

Resampling-based inference for the average treatment effect in observational studies with competing risks

Sarah Friedrich, Universität Augsburg

In observational studies with time-to-event outcomes subject to competing risks, the g-formula can be used to estimate a treatment effect in the presence of confounding factors. The construction of valid pointwise confidence intervals and …

24

Jun

Link to ChatGPT and other Large Language Models in Teaching and Research

Keynote and Panel Discussion  •  24.06.2024  •  LMU Munich, Main Building, Große Aula

6:00 pm - 8:00 pm

ChatGPT and other Large Language Models in Teaching and Research

Moderated by MCML PI Sven Nyholm

When ChatGPT was suddenly released to the general public in November of 2022, a lively discussion about how it was going to affect education and research immediately sprung up. That discussion is still on-going and far from settled, and generative AI …

26

Jun

Link to tba

Colloquium  •  26.06.2024  •  LMU Department of Statistics and via zoom

4:15 pm - 5:45 pm

tba

Jörg Drechsler, LMU Munich