01.08.2025
MCML PI Stephan Günnemann was recently featured in a BR24 segment discussing the rise of autonomous AI agents. He clarified the key distinction between AI assistants like ChatGPT and true agents: autonomy in both planning and execution. While …
31.07.2025
Machine‑learning models can be undermined before training even starts. By silently altering a small share of training labels - marking “spam” as “not‑spam,” for instance - an attacker can cut accuracy by double‑digit percentages. The paper “Exact …
23.04.2025
We are happy to announce that MCML researchers have contributed a total of 52 papers to ICLR 2025: 35 Main, and 17 Workshop papers. Congrats to our researchers!
05.12.2024
We are happy to announce that MCML researchers have contributed a total of 31 papers to NeurIPS 2024: 23 Main, and 8 Workshop papers. Congrats to our researchers!
29.07.2024
We are happy to announce that MCML researchers have contributed a total of 3 papers to IJCAI 2024: 2 Main, and 1 Workshop papers. Congrats to our researchers!
08.04.2024
MCML Junior Member Lukas Gosch conducts research on how quickly - or slowly - AI algorithms react to changes. His field of work is the reliability of artificial intelligence, or more precisely, of machine learning algorithms. As these algorithms are …
04.03.2024
Our PI Stephan Günnemann was a guest on the science broadcast “Forschung aktuell” by Deutschlandfunk. In the feature, he explains pruning and spartification, two techniques that can significantly reduce the computational power required for language …
20.02.2024
In this interview, our PI Stephan Günnemann explains the important and central differences between the terms AI, automation and machine learning. Furthermore, he discusses the fundamental technical aspects of artificial intelligence and shares his …
05.12.2023
We are happy to announce that MCML researchers have contributed a total of 21 papers to NeurIPS 2023: 15 Main, and 6 Workshop papers. Congrats to our researchers!
21.09.2023
Our MCML PIs Bernd Bischl, Stephan Günnemann, and David Rügamer and MCML PhD Lisa Wimmer received the Best Paper Award for the Research Track at the ECML PKDD 2023 with their paper “Towards Efficient MCMC Sampling in Bayesian Neural Networks by …
01.01.2023
We are happy to announce that MCML researchers are represented in 2023 with 43 papers in highly-ranked journals. Congrats to our researchers!
22.11.2022
We are happy to announce that MCML researchers have contributed a total of 15 papers to NeurIPS 2022: 11 Main, and 4 Workshop papers. Congrats to our researchers!
2025-08-01 - Last modified: 2025-10-11