12.09.2025
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!
12.08.2025
Tracking actions, not just objects: The Spatiotemporal Action Grounding Challenge and Workshop at ICCV 2025 focusses on detecting and localizing actions both in space and time within complex, real-world videos. Unlike standard action recognition, this …
10.07.2025
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!
20.06.2025
Imagine watching a two-hour video and trying to find the exact moment someone scores a goal - or says something important. Humans can do this with ease by skimming and zooming in. But for AI, finding specific moments in long videos is incredibly …
10.06.2025
We are happy to announce that MCML researchers have contributed a total of 35 papers to CVPR 2025: 29 Main, and 6 Workshop papers. Congrats to our researchers!
06.02.2025
MCML Junior Member Gabriel Marques Tavares has a PostDoc position at the chair of Database Systems and Data Mining at LMU Munich. His research focus is in the field of Process Mining, which investigates the execution of business processes within …
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!
25.11.2024
In the new article published at Research in Bavaria, the Munich Center for Machine Learning is highlighted as a crucial part of Bavaria’s AI and machine learning research. It highlights the work of MCML’s members, who are advancing innovative …
26.09.2024
We are happy to announce that MCML researchers have contributed a total of 29 papers to ECCV 2024: 23 Main, and 6 Workshop papers. Congrats to our researchers!
04.09.2024
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!
20.07.2024
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!
01.01.2024
We are happy to announce that MCML researchers are represented in 2024 with 90 papers in highly-ranked journals. Congrats to our researchers!
15.09.2023
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
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!
11.03.2023
The MCML took part at ai.Bay 2023, the Bavarian International Conference on AI, bringing together experts from all over the world to exchange knowledge and ideas on the latest developments in AI. The two directors of MCML, Thomas Seidl and Daniel …
28.10.2022
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
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!
17.12.2020
“Give me your data and we’ll find patterns,” says MCML Director Thomas Seidl. Decoding such patterns reveals secrets hidden in everything from bone fossils to ancient languages. And as academia and industry collect more and more data, there is …
08.10.2020
The talk recalls commonalities like model-based supervised and unsupervised learning approaches, and it also sheds light to peculiarities in process data and process mining tasks as seen from a data mining perspective.
14.11.2019
Felix Borutta, Sebastian Schmoll and Sabrina Friedl won the 3rd Place at ACM SIGSPATIAL GisCup 2019 for their contribution “Optimizing the Spatio-Temporal Resource Search Problem with Reinforcement Learning”. Congrats from us!
2025-09-12 - Last modified: 2025-10-11