122 citations
- Technical University of MunichDE25 papers
- Ludwig-Maximilians-Universität MünchenDE19 papers
- Technische Universität DresdenDE6 papers
- Bielefeld UniversityDE5 papers
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- Iscte – Instituto Universitário de LisboaPT4 papers
- LMU KlinikumDE4 papers
- OTH RegensburgDE4 papers
- Universität der Bundeswehr MünchenDE4 papers
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21 papers · 1 filter
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam +71
One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is…
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning
Fabian Ritz, Thomy Phan, Robert Müller +8
A characteristic of reinforcement learning is the ability to develop unforeseen strategies when solving problems. While such strategies sometimes yield superior performance, they m…
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
Zhen Han, Yunpu Ma, Peng Chen +1
There has recently been increasing interest in learning representations of temporal knowledge graphs (KGs), which record the dynamic relationships between entities over time. Tempo…
The Sound of Silence: Mining Security Vulnerabilities from Secret Integration Channels in Open-Source Projects
Ralf Ramsauer, Lukas Bulwahn, Daniel Lohmann +1
Public development processes are a key characteristic of open source projects. However, fixes for vulnerabilities are usually discussed privately among a small group of trusted mai…
Towards Querying in Decentralized Environments with Privacy-Preserving Aggregation
Ruben Taelman, Simon Steyskal, Sabrina Kirrane
The Web is a ubiquitous economic, educational, and collaborative space. However, it also serves as a haven for personal information harvesting. Existing decentralised Web-based eco…
Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization
Weiye Zhao, Suqin He, Chengtao Wen +1
Applying intelligent robot arms in dynamic uncertain environments (i.e., flexible production lines) remains challenging, which requires efficient algorithms for real time trajector…