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.
15.10.2020
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Yusuf Sale Receives IJAR Young Researcher Award
MCML Junior Member Yusuf Sale received an IJAR Young Researcher Award at ISIPTA 2025 for his work.
©LMU
30.07.2025
Barbara Plank Awarded 2025 Imminent Research Grant for Work on Language Data
Barbara Plank’s MaiNLP lab wins 2025 Imminent Research Grant for a project on language data with Peng and de Marneffe.
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Tracking Our Changing Planet From Space - With Xiaoxiang Zhu
In this video, Xiaoxiang Zhu shares how her team extracts geo-information from petabytes of data, with real impact on global challenges.
©TUM
29.07.2025
AI Research by Daniel Rückert Improves Medical Imaging and Data Privacy
Daniel Rückert develops AI for faster medical imaging and secure data use through federated learning and privacy-preserving methods.
