Please take a look at the excellent interview with our LMU-director Gitta Kutyniok (in German), in which she speaks about Neural Networks, Mathematics, Explainability in AI, the EU AI Act, analog hardware and more.
Director
Please take a look at the excellent interview with the director of relA Prof. Günnemann at TUM. The interview, titled “The reliability of AI will play a decisive role in Germany”, emphasizes the transformative focus that our school’s main topic plays in technology.
Congratulations to our relAI director Gitta Kutyniok!
The world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity IEEE has selected Gitta Kutyniok for the elevation to IEEE Fellow, the highest grade of membership in IEEE. Less than 0.1% of voting members are selected for this member grade elevation each year.
The IEEE Fellow Committee recognized her achievements with the following statement: “for contributions to the mathematical theory of artificial intelligence in signal processing and communication”
Congratulations to the relAI PhD Student Lisa Wimmer, the relAI fellow Bernd Bischl, and the relAI director Stephan Günnemann on the best paper award of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2023).
ECML PKDD is Europe’s top machine learning and data mining conference, with over 20 years of successful events and conferences across the continent. The ECML PKDD 2023 was held in Turin, Italy from the 18th to the 22nd of September 2023.
List of authors and title of the awarded paper:Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry
On December 1st, relAI director Prof. Stephan Günnemann was awarded the Heinz Maier-Leibnitz Medal. TUM presents its highest scientific award to individuals who, through their exceptional achievements in science, technology or medicine, have rendered a great service to the university in their capacity as outstanding lecturers and researchers.
The relAI team congratulates Prof. Günnemann on this recognition of his work and is proud to be headed by this distinguished scientist.