#seidl
MCML at ICCV 2025
28 Accepted Papers (22 Main, and 6 Workshops)
We are happy to announce that MCML researchers have contributed a total of 28 papers to ICCV 2025: 22 Main, and 6 Workshop papers. Congrats to our researchers!
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!
12.08.2025
Tracking Actions in Space and Time: ICCV 2025 Challenge & Workshop
MCML Research Insight - With Tanveer Hannan, Mark Weber, and Thomas Seidl
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 …
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!
20.06.2025
Zooming in on Moments: ReVisionLLM for Long-Form Video Understanding
MCML Research Insight - With Tanveer Hannan and Thomas Seidl
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 …
MCML at CVPR 2025
35 Accepted Papers (29 Main, and 6 Workshops)
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
Improving Business Processes
Researcher in Focus: Gabriel Marques Tavares
MCML Junior Member Gabriel Marques Tavares has a PostDoc position at the chair of Database Systems and Data Mining of our Director Thomas Seidl. His research focus is in the field of Process Mining, which investigates the execution of business …
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!
25.11.2024
Meet Three MCML Junior Members
Article on Research in Bavaria
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 …
MCML at ECCV 2024
29 Accepted Papers (23 Main, and 6 Workshops)
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!
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!
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!
MCML Researchers in Highly-Ranked Journals
93 Papers in 2024 Highlight Scientific Impact
We are happy to announce that MCML researchers are represented in 2024 with 93 papers in highly-ranked journals. Congrats to our researchers!
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!
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!
11.03.2023
MCML at the Bavarian International Conference on AI
Bringing Together Experts From All Over the World at Ai.Bay 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: Where Do We Want the Core AI/ML Research to Happen?
Just Listen to the Three MCML Directors
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 …
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!
08.02.2022
Thomas Seidl Gives a Talk at LMU KI Lectures
How Artificial Intelligence Is Changing Science, Society, and Our Lives
In his lecture “Artificial Intelligence - A look towards future developments” our Director Thomas Seidl will talk about the latest developments in artificial intelligence. Besides reflecting on the terminology and limitations of artificial …
17.05.2021
Lernen. Wissen. Daten. Analysen. - Learning. Knowledge. Data. Analytics.
LWDA 2021 at MCML, Munich, 01.09–03.09.2021
The LWDA 2021 conference will be hosted by the Munich Center for Machine Learning (MCML) from September 01, 2021 to September 03, 2021. The conference will be fully online.
17.12.2020
LMU Munich Harnesses AI to Drive Discovery
Article in Nature Research With Our Director Thomas Seidl
“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
MCML Director Thomas Seidl Gives a Keynote Talk at ICPM 2020
Data Mining on Process Data
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
3rd Place at ACM SIGSPATIAL GisCup 2019
Optimizing the Spatio-Temporal Resource Search Problem With Reinforcement Learning
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!
27.01.2019
Smarte Wesen: Hat Das Mit Intelligenz Zu Tun?
Article in LMU Munich Magazine "Einsichten"
Our two directors Thomas Seidl and Bernd Bischl discuss machine learning, other forms of AI and why it is important to understand how computers achieve their results.