08.10.2025
Three MCML Members Win Best Paper Award at AutoML 2025
We are happy to announce that the paper “Overtuning in Hyperparameter Optimization” by MCML PI Matthias Feurer, MCML Junior Member Lennart Schneider, and MCML Director Bernd Bischl has won the Best Paper Award at the 4th AutoML Conference The paper …
25.09.2025
Compress Then Explain: Faster, Steadier AI Explanations - With One Tiny Step
Imagine re-running feature importance plots and getting slightly different “top features.” Annoying, right? That uncertainty often comes from a quiet assumption: model explanation algorithms typically sample points from data at random. A new ICLR …
12.09.2025
MCML at ECML-PKDD 2025: Nine Accepted Papers (6 Main, and 3 Workshops)
We are happy to announce that MCML researchers have contributed a total of 9 papers to ECML-PKDD 2025: 6 Main, and 3 Workshop papers. Congrats to our researchers!
25.07.2025
MCML at ACL 2025: 37 Accepted Papers (17 Main, 8 Findings, and 12 Workshops)
We are happy to announce that MCML researchers have contributed a total of 37 papers to ACL 2025: 17 Main, 8 Findings, and 12 Workshop papers. Congrats to our researchers!
10.07.2025
MCML at ICML 2025: 25 Accepted Papers (20 Main, and 5 Workshops)
We are happy to announce that MCML researchers have contributed a total of 25 papers to ICML 2025: 20 Main, and 5 Workshop papers. Congrats to our researchers!
28.04.2025
MCML at NAACL 2025: Eleven Accepted Papers (6 Main, 2 Findings, and 3 Workshops)
We are happy to announce that MCML researchers have contributed a total of 11 papers to NAACL 2025: 6 Main, 2 Findings, and 3 Workshop papers. Congrats to our researchers!
23.04.2025
MCML at ICLR 2025: 52 Accepted Papers (35 Main, and 17 Workshops)
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!
27.03.2025
Beyond the Black Box: Choosing the Right Feature Importance Method
Machine learning models make powerful predictions, but can we really trust them if we don’t understand how they work? Global feature importance methods help us discover which factors really matter - but choosing the wrong method can lead to …
19.12.2024
Epistemic Foundations and Limitations of Statistics and Science
The Open Science Initiative in Statistics - which is part of the Open Science Center at LMU Munich - and MCML recently hosted a workshop about epistemic foundations and limitations of statistics and science. The event brought together researchers …
05.12.2024
MCML at NeurIPS 2024: 31 Accepted Papers (23 Main, and 8 Workshops)
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!
06.11.2024
MCML at EMNLP 2024: 22 Accepted Papers (6 Main, 14 Findings, and 2 Workshops)
We are happy to announce that MCML researchers have contributed a total of 22 papers to EMNLP 2024: 6 Main, 14 Findings, and 2 Workshop papers. Congrats to our researchers!
30.09.2024
DSSGx Munich 2024 Closing Event
For two months, the DSSGxMunich-Team supported two projects with the UN International Organization for Migration’s Global Data Institute, and the National park administration Bayerischer Wald. Last week, they presented their results at the Bavarian …
16.09.2024
MCML Member Ludwig Bothmann Is Featured in a Documentary by Bayerischer Rundfunk (BR)
MCML member Ludwig Bothmann is featured in a documentary by Bayerischer Rundfunk (BR) titled: " Zu viel los im Wald? Mit KI auf den Spuren von Tieren und Menschen". In Bavaria, where there is a legal right to freely access nature, encounters between …
04.09.2024
MCML at ECML-PKDD 2024: Nine Accepted Papers (8 Main, and 1 Workshop)
We are happy to announce that MCML researchers have contributed a total of 9 papers to ECML-PKDD 2024: 8 Main, and 1 Workshop papers. Congrats to our researchers!
05.08.2024
MCML at ACL 2024: 23 Accepted Papers (9 Main, 8 Findings, and 6 Workshops)
We are happy to announce that MCML researchers have contributed a total of 23 papers to ACL 2024: 9 Main, 8 Findings, and 6 Workshop papers. Congrats to our researchers!
01.08.2024
DSSGx Munich 2024 Kick-Off Event
DSSG 2024 – short for Data Science for Social Good – has officially started. Talented data scientists from all around the world arrived in Munich for the 2-month fellowship program that contribute to social initiatives in Munich in the summer months. …
29.07.2024
MCML at IJCAI 2024: Three Accepted Papers (2 Main, and 1 Workshop)
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!
20.07.2024
MCML at ICML 2024: 24 Accepted Papers (17 Main, and 7 Workshops)
We are happy to announce that MCML researchers have contributed a total of 24 papers to ICML 2024: 17 Main, and 7 Workshop papers. Congrats to our researchers!
11.06.2024
MCML at NAACL 2024: Ten Accepted Papers (4 Main, 1 Findings, and 5 Workshops)
We are happy to announce that MCML researchers have contributed a total of 10 papers to NAACL 2024: 4 Main, 1 Findings, and 5 Workshop papers. Congrats to our researchers!
30.04.2024
MCML at ICLR 2024: 15 Accepted Papers (9 Main, and 6 Workshops)
We are happy to announce that MCML researchers have contributed a total of 15 papers to ICLR 2024: 9 Main, and 6 Workshop papers. Congrats to our researchers!
18.03.2024
Get to Know MCML Junior Member Lisa Wimmer
MCML Junior Member Lisa Wimmer researches the practicability of model predictions. By supplementing them with a reliable statement about their statistical certainty or uncertainty, she aims for improving the underlying models.
11.03.2024
Get to Know MCML Junior Member Martin Binder
Artificial intelligence only becomes a disadvantage if it is overestimated or used incorrectly, says MCML Junior Member Martin Binder. In his research, he improves algorithms and, above all, simplifies the work of other scientists.
01.01.2024
MCML Researchers With 90 Papers in Highly-Ranked Journals
We are happy to announce that MCML researchers are represented in 2024 with 90 papers in highly-ranked journals. Congrats to our researchers!
05.12.2023
MCML at NeurIPS 2023: 21 Accepted Papers (15 Main, and 6 Workshops)
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!
04.12.2023
MCML at EMNLP 2023: 17 Accepted Papers (9 Main, 7 Findings, and 1 Workshop)
We are happy to announce that MCML researchers have contributed a total of 17 papers to EMNLP 2023: 9 Main, 7 Findings, and 1 Workshop papers. Congrats to our researchers!
09.11.2023
New Minor in AI at LMU
This winter semester (WS23/24), LMU launched a minor in Artificial Intelligence with the aim of offering a tailor-made education in artificial intelligence for non-computer scientists. Starting in the winter semester 2023/24, LMU is introducing …
21.09.2023
Best Paper Award at ECML PKDD 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 …
15.09.2023
MCML at ECML-PKDD 2023: 15 Accepted Papers (9 Main, and 6 Workshops)
We are happy to announce that MCML researchers have contributed a total of 15 papers to ECML-PKDD 2023: 9 Main, and 6 Workshop papers. Congrats to our researchers!
05.07.2023
MCML at ACL 2023: Twelve Accepted Papers (4 Main, and 8 Findings)
We are happy to announce that MCML researchers have contributed a total of 12 papers to ACL 2023: 4 Main, and 8 Finding papers. Congrats to our researchers!
01.01.2023
MCML Researchers With 43 Papers in Highly-Ranked Journals
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
MCML at NeurIPS 2022: 15 Accepted Papers (11 Main, and 4 Workshops)
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!
28.10.2022
Industrial AI Podcast: Where Do We Want the Core AI/ML Research to Happen?
Industrial AI Podcast spoke with our three directors Bernd Bischl, Daniel Cremers, and Thomas Seidl about research priorities, the battle for the best minds and the role of tech companies. They also asked what academics should do in the field of AI in …
14.09.2022
MCML at ECML-PKDD 2022: Seven Accepted Papers (4 Main, and 3 Workshops)
We are happy to announce that MCML researchers have contributed a total of 7 papers to ECML-PKDD 2022: 4 Main, and 3 Workshop papers. Congrats to our researchers!
13.09.2022
MCML at MICCAI 2022: Five Accepted Papers (1 Main, and 4 Workshops)
We are happy to announce that MCML researchers have contributed a total of 5 papers to MICCAI 2022: 1 Main, and 4 Workshop papers. Congrats to our researchers!
07.08.2022
Article in Süddeutsche Zeitung About MCML
Der Bund steckt Millionen Euro in das Münchner Kompetenzzentrum für maschinelles Lernen. Die gemeinsame Einrichtung von TU und LMU soll den Menschen helfen, Krebs zu erkennen, Shitstorms vorherzusagen und den Klimawandel zu verstehen.
18.07.2022
MCML at IJCAI-ECAI 2022: Three Accepted Papers (2 Main, and 1 Workshop)
We are happy to announce that MCML researchers have contributed a total of 3 papers to IJCAI-ECAI 2022: 2 Main, and 1 Workshop papers. Congrats to our researchers!
01.01.2022
MCML Researchers With 28 Papers in Highly-Ranked Journals
We are happy to announce that MCML researchers are represented in 2022 with 28 papers in highly-ranked journals. Congrats to our researchers!
01.12.2021
MCML at NeurIPS 2021: Seven Accepted Papers (2 Main, and 5 Workshops)
We are happy to announce that MCML researchers have contributed a total of 7 papers to NeurIPS 2021: 2 Main, and 5 Workshop papers. Congrats to our researchers!
29.10.2021
Join the 1st Virtual AutoML Fall School 2021
The 1st AutoML Fall School will cover core topics of AutoML, covering basics, state-of-the-art approaches and hands-on sessions. Enthusiastic AutoML experts will present their diverse views on AutoML to ML practitioners, developers, research …
