🧑‍🔬 Volker Tresp

🏛️ Affiliations

🏢SiemensMunich · Germany1990–2026 · 214 paperscurrent🎓Ludwig-Maximilians-Universität MünchenMunich · Germany2012–2026 · 205 papersEmployment · Professorcurrent🎓Munich Center for Machine LearningMunich · Germany2023–2026 · 44 paperscurrent🎓Yale UniversityNew Haven · United States1987–1990 · 4 papersEducation🏢SiemensPrinceton · United States2008–2019 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning (2026 · 49 citations)
   LLMs lose information that falls outside their context window. Systems that add an external memory bank usually depend on fixed heuristics or prompted LLMs to choose what to store and retrieve, and nothing in that choice is trained against answer correctness. Memory-R1 addresses this with reinforcement learning…
2. LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering (2025 · 24 citations)
   Multimodal LLMs built on the LLaVA recipe are expensive to adapt during visual instruction tuning, even with PEFT methods like LoRA.
3. Self-Evolving Multi-Agent Systems via Textual Backpropagation (2026 · 3 citations)
   Building multi-agent LLM systems usually means hand-crafting prompts, roles and topologies by trial and error.

All works

10 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Learning Gaussian processes from multiple tasks ↗International Conference on Machine Learning · no summary yetKai Yu, Volker Tresp, Anton Schwaighofer2005 · 395 citations
2. Active learning via transductive experimental design ↗International Conference on Machine Learning · no summary yetKai Yu, Jinbo Bi, Volker Tresp2006 · 348 citations
3. Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetZhen Han et al.2021 · 159 citations
4. Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework ↗arXiv:2006.13365 · no summary yetMehdi Ali et al.2020 · 142 citations
5. DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetZhen Han et al.2020 · 89 citations
6. Collaborative ordinal regression ↗International Conference on Machine Learning · no summary yetShipeng Yu et al.2006 · 52 citations
7. Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Sikuan Yan, Xiufeng Yang, Zuchao Huang, et al.2026 · 49 citations
8. An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetMartin Schmitt et al.2020 · 46 citations
9. LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Jinhe Bi, Yujun Wang, Haokun Chen, et al.2025 · 24 citations
10. Self-Evolving Multi-Agent Systems via Textual BackpropagationFindings of the Association for Computational LinguisticsXiaowen Ma, Yunpu Ma, Chenyang Lin, et al.2026 · 3 citations

🤝 Co-authors here

11 co-authors with a page, the most papers together first.

• Jinhe Bi ×3
• Hinrich Schuetze ×2
• Sikuan Yan ×2
• Xiaowen Ma ×2
• Yunpu Ma ×2
• Ercong Nie
• Jeff Z. Pan
• Kristian Kersting
• Yijun Tian
• Yujun Wang
• Zifeng Ding

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• International Conference on Machine Learning ×3
• Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ×3
• Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026, ACL 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026

🔗 Cited by

Papers of our library cite their works 160 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated 1 November 2026

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