70 citations
- Arizona State UniversityUS2 papers
- Carnegie Mellon UniversityUS2 papers
- Robert Bosch (Germany)DE2 papers
- Technion – Israel Institute of TechnologyIL2 papers
- University of AmsterdamNL2 papers
- University of BaselCH2 papers
- University of FreiburgDE2 papers
- Department of Physics, Mathematics and InformaticsBY1 paper
- Indian Institute of Technology KanpurIN1 paper
- Karlsruhe Institute of TechnologyDE1 paper
- KU LeuvenBE1 paper
- Lawrence Livermore National LaboratoryUS1 paper
18 papers · 1 filter
Orientation Probabilistic Movement Primitives on Riemannian Manifolds
Leonel Rozo, Vedant Dave
Learning complex robot motions necessarily demands to have models that are able to encode and retrieve full-pose trajectories when tasks are defined in operational spaces. Probabil…
Sampling Multiple Nodes in Large Networks: Beyond Random Walks
Omri Ben-Eliezer, Talya Eden, Joel Oren +1
Sampling random nodes is a fundamental algorithmic primitive in the analysis of massive networks, with many modern graph mining algorithms critically relying on it. We consider the…
Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting
Lukas Lange, Heike Adel, Jannik Strötgen
In this paper, we explore possible improvements of transformer models in a low-resource setting. In particular, we present our approaches to tackle the first two of three subtasks…
Emerging AI Security Threats for Autonomous Cars -- Case Studies
Shanthi Lekkala, Tanya Motwani, Manojkumar Parmar +1
Artificial Intelligence has made a significant contribution to autonomous vehicles, from object detection to path planning. However, AI models require a large amount of sensitive t…
Hierarchies of Planning and Reinforcement Learning for Robot Navigation
Jan Wöhlke, Felix Schmitt, Herke van Hoof
Solving robotic navigation tasks via reinforcement learning (RL) is challenging due to their sparse reward and long decision horizon nature. However, in many navigation tasks, high…
Tangle Centric Networking (TCN)
Christopher Scherb, Dennis Grewe, Christian Tschudin
Today's Internet is heavily used for multimedia streaming from cloud backends, while the Internet of Things (IoT) reverses the traditional data flow, with high data volumes produce…