Tresp, Volker

Factorizing YAGO: scalable machine learning for linked data

Nickel, M., Tresp, V., & Kriegel, H.-P. (2012) · Proceedings of the 21st international conference on World Wide Web

Semantic Web and OntologiesAdvanced Graph Neural Networks

Cited by 370

Curiosity-Driven Experience Prioritization via Density Estimation

Zhao, R., & Tresp, V. (2019) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 47

Saliency Methods for Explaining Adversarial Attacks

Gu, J., & Tresp, V. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 23

Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs

Ding, Z., Wu, J., Wu, J., Xia, Y., Xiong, B., & Tresp, V. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Advanced Graph Neural NetworksSemantic Web and Ontologies

Cited by 4

SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence

Zhang, Y., Lin, C., Tang, S., Chen, H., Zhou, S., Ma, Y., & Tresp, V. (2025) · arXiv

AI-based Problem Solving and PlanningMulti-Agent Systems and Negotiation

Cited by 3

MetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill Evolution

Wang, Z., Yan, M., Bi, J., Yan, S., Tresp, V., & Ma, Y. (2026) · arXiv

AI-based Problem Solving and PlanningEvolutionary Algorithms and Applications

Cited by 0

Mendel Gödel Machine: Recursive Self-Improving Coding Agents via Comparative Evolution

Liu, C., Liu, Y., Yan, S., Tresp, V., & Ma, Y. (2026) · arXiv

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 0