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.
Related
©Terzo Algeri/Fotoatelier M/ TUM
30.10.2025
Language Shapes Gender Bias in AI Images
Alexander Fraser shows AI image generators reproduce gender stereotypes differently across languages, highlighting the need for fair multilingual AI.
20.10.2025
Björn Ommer Appointed LMU Chief AI Officer
Our PI Björn Ommer has been appointed LMU’s Chief AI Officer to strengthen AI research and collaborations.
17.10.2025
MCML at ICCV 2025
MCML researchers are represented with 28 papers at ICCV 2025 (22 Main, and 6 Workshops).
