21 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Technology Nuremberg3 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE2 papers
- City College of Dongguan University of TechnologyCN1 paper
- City University of Hong KongHK1 paper
- Columbia UniversityUS1 paper
- DATEV (Germany)DE1 paper
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE1 paper
- Dongguan University of TechnologyCN1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- ETH ZurichCH1 paper
- Fraunhofer Institute for Integrated CircuitsDE1 paper
- Georg Simon Ohm University of Applied Sciences NurembergDE1 paper
6 papers
Learning Logical Operations for Arbitrary Quantum Error Correction Codes
Nico Meyer, Christopher Mutschler, Dominik Seuß +2
Logical operations are essential for quantum computation within quantum error-correcting codes. However, discovering their physical realizations is challenging, especially for non-…
SteuerLLM: Local specialized large language model for German tax law analysis
Sebastian Wind, Jeta Sopa, Laurin Schmid +8
Large language models (LLMs) demonstrate strong general reasoning and language understanding, yet their performance degrades in domains governed by strict formal rules, precise ter…
A roadmap for AI in robotics
Aude Billard, Alin Albu-Schaeffer, Michael Beetz +8
AI technologies, including deep learning, large-language models have gone from one breakthrough to the other. As a result, we are witnessing growing excitement in robotics at the p…
Learning from Evolution: Improving Collective Decision-Making Mechanisms using Insights from Evolutionary Robotics
Tanja Katharina Kaiser
Collective decision-making enables multi-robot systems to act autonomously in real-world environments. Existing collective decision-making mechanisms suffer from the so-called spee…
The fragile nature of road transportation networks
Linghang Sun, Yifan Zhang, Cristian Axenie +3
Major cities worldwide experience problems with the performance of their road transportation networks, and the continuous increase in traffic demand presents a substantial challeng…
The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation
Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold +3
In policy learning for robotic manipulation, sample efficiency is of paramount importance. Thus, learning and extracting more compact representations from camera observations is a…