15.10.2020
Invited Presentation at 1st CIKM 2020 Workshop on Combining Symbolic and Sub-Symbolic Methods and Their Applications (CSSA-CIKM 2020)
Learning With Temporal Knowledge Graphs
MCML PI Volker Tresp, Yunpu Ma and Zhen Han review recently developed learning-based algorithms for temporal knowledge graphs completion and forecasting. Knowledge graphs, also known as episodic or time-dependent knowledge graphs are large-scale event databases that describe temporally evolving multi-relational data.
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©BAdW / Karl Neunert
08.12.2025
Tom Sterkenburg Wins Karl-Heinz Hoffmann Prize of the Bavarian Academy of Sciences
MCML JRG Leader Tom Sterkenburg receives the Karl-Heinz Hoffmann Prize of the BAdW for his interdisciplinary research.
©Juli Eberle / TUM / ediundsepp Gestaltungsgesellschaft
04.12.2025
World’s First Complete 3D Model of All Buildings Released
Xiaoxiang Zhu’s team releases GlobalBuildingAtlas, a high-res 3D map of 2.75B buildings for advanced urban and climate analysis.
04.12.2025
When to Say "I’m Not Sure": Making Language Models More Self-Aware
ICLR 2025 research by the groups of David Rügamer, and Bernd Bischl introduces methods to make LLMs more reliable by expressing uncertainty.
28.11.2025
MCML at NeurIPS 2025
MCML researchers are represented with 47 papers at NeurIPS 2025 (38 Main, and 9 Workshops).
