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- European Space Operations CentreDE8 papers
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- Centre National de la Recherche ScientifiqueFR6 papers
- European Space Astronomy CentreES6 papers
- European Space Research and Technology CentreNL6 papers
- Karlsruhe Institute of TechnologyDE6 papers
- Technische Universität DresdenDE6 papers
- University of BremenDE5 papers
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- Centro de AstrobiologíaES4 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE4 papers
14 papers · 1 filter
Alleviating Over-Smoothing via Aggregation over Compact Manifolds
Dongzhuoran Zhou, Hui Yang, Bo Xiong +2
Graph neural networks (GNNs) have achieved significant success in various applications. Most GNNs learn the node features with information aggregation of its neighbors and feature…
Deep learning based Meta-modeling for Multi-objective Technology Optimization of Electrical Machines
Vivek Parekh, Dominik Flore, Sebastian Schöps
Optimization of rotating electrical machines is both time- and computationally expensive. Because of the different parametrization, design optimization is commonly executed separat…
PrecTime: A Deep Learning Architecture for Precise Time Series Segmentation in Industrial Manufacturing Operations
Stefan Gaugel, Manfred Reichert
The fourth industrial revolution creates ubiquitous sensor data in production plants. To generate maximum value out of these data, reliable and precise time series-based machine le…
PAC-Bayesian Lifelong Learning For Multi-Armed Bandits
Hamish Flynn, David Reeb, Melih Kandemir +1
We present a PAC-Bayesian analysis of lifelong learning. In the lifelong learning problem, a sequence of learning tasks is observed one-at-a-time, and the goal is to transfer infor…
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs
Xiao Liu, Haoyun Hong, Xinghao Wang +4
Entity alignment, aiming to identify equivalent entities across different knowledge graphs (KGs), is a fundamental problem for constructing Web-scale KGs. Over the course of its de…
DeepHybrid: Deep Learning on Automotive Radar Spectra and Reflections for Object Classification
Adriana-Eliza Cozma, Lisa Morgan, Martin Stolz +2
Automated vehicles need to detect and classify objects and traffic participants accurately. Reliable object classification using automotive radar sensors has proved to be challengi…