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title: README |
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# TRESP Lab @ LMU Munich |
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We advance representation learning for **knowledge graphs**, **multimodal learning**, and **AI-driven understanding**—building systems that integrate text, images, and video into structured, actionable world models. [oai_citation:0‡TRESP Lab](https://tresp-lab.github.io/?utm_source=chatgpt.com) |
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## 🔭 Research Directions |
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- Temporal & hyper-relational **knowledge graphs**; inductive reasoning and link prediction. [oai_citation:1‡MCML](https://mcml.ai/research/groups/tresp/?utm_source=chatgpt.com) |
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- **Multimodal foundation models** for cognitive AI and human-level understanding. [oai_citation:2‡TRESP Lab](https://tresp-lab.github.io/?utm_source=chatgpt.com) |
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- Robust **adaptation of vision-language models** and open dynamic graph benchmarks. [oai_citation:3‡NeurIPS](https://neurips.cc/media/neurips-2023/Slides/73702.pdf?utm_source=chatgpt.com) |
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## 👥 People |
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Lead: **Prof. Dr. Volker Tresp** (LMU Munich). |
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## 🏛️ Affiliation |
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Database Systems, Data Mining and AI, **LMU Munich**; activities within **MCML** and broader Munich AI ecosystem. [oai_citation:5‡ifi.lmu.de](https://www.ifi.lmu.de/dbs/en/persons/contact-page/volker-tresp-e9a4da46.html?utm_source=chatgpt.com) |
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## 📚 Selected Activities & Topics |
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- Memory embeddings, tensor models, and the **Tensor Brain** line of work. [oai_citation:6‡Qcssc](https://www.qcssc.uni-muenchen.de/activities_research/lectureseries/abstract-tresp.html?utm_source=chatgpt.com) |
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- Courses & seminars on **Generative AI** and machine learning at LMU. [oai_citation:7‡ifi.lmu.de](https://www.ifi.lmu.de/dbs/en/teaching/seminars/b-generative-ai.html?utm_source=chatgpt.com) |
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## 🤝 Collaborate with Us |
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We welcome collaborations on: |
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- Multimodal/streaming understanding with structured memory |
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- Temporal KGs and trustworthy reasoning for real-world data |
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- Domain adaptation of large VLMs and dynamic graph evaluation |
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(See site for people, publications, and openings.) [oai_citation:8‡TRESP Lab](https://tresp-lab.github.io/?utm_source=chatgpt.com) |
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### 🔗 Useful Links |
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- 🌐 Website: tresp-lab.github.io [oai_citation:9‡TRESP Lab](https://tresp-lab.github.io/?utm_source=chatgpt.com) |
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- 👥 People: /people [oai_citation:10‡TRESP Lab](https://tresp-lab.github.io/people/?utm_source=chatgpt.com) |
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- 🧪 Group @ MCML: mcml.ai/research/groups/tresp [oai_citation:11‡MCML](https://mcml.ai/research/groups/tresp/?utm_source=chatgpt.com) |
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- 📇 Prof. Tresp: dbs.ifi.lmu.de/~tresp [oai_citation:12‡ifi.lmu.de](https://www.ifi.lmu.de/dbs/en/persons/contact-page/volker-tresp-e9a4da46.html?utm_source=chatgpt.com) |
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> _“We push the limits of AI by developing structured, interpretable models of the world.”_ [oai_citation:13‡TRESP Lab](https://tresp-lab.github.io/?utm_source=chatgpt.com) |
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