Forschung

Bereich	Abteilung
Combining discrete probability distributions and Deep Learning	AC, MLS
Computer Vision	ISP
Constrained Learning	IS
Explainable AI	AC, MLS
Generative Modeling	AC, MLS
Geometric Deep Learning	AC, MLS
Graph Machine Learning	AC, MLS
Graph Neural Networks	AC, MLS, IS
Intelligent Human-Computer Interaction	AC
Intelligent Vehicles	AC, ISP
Knowledge Graphs	AC, MLS
Machine Learning and Simulation	AC, MLS, IS
Machine Learning for Natural Language Processing	AC, MLS
Machine Learning and Combinatorial Optimization	MLS
Multimodal Human Acitivty Analysis	ISP
Open-Set-, Open-Domain- and Uncertainty-aware Recognition	ISP
Optimization	IS
Physics-based Machine Learning	AC, MLS, IS
Reflection on Web, AI and Society	AC
Reinforcement Learning	IS
Resource- and Data-efficient Recognition	ISP
Robust Machine Learning	IS
Semantic Digital Twins	AC
Signal Processing	IS
Time Series Analysis	AC

Bereich	Abteilung
NLP for Biomedical applications	AC
Knowledge Graphs and Semantic Digital Twins for Architecture, Engineering, and Construction	AC
Knowledge Graphs and Semantic Digital Twins for Engineering Design and Production	AC
Knowledge Graphs for Intelligent Vehicles	AC
Applications for Health Monitoring, Physiological Analysis and Medical Diagnostics	ISP
Machine Learning for Molecules	MLS
Machine Learning for Physical Systems	MLS
Machine Learning for (Bio-) Medical Applications	MLS