Institut für Künstliche Intelligenz (KI)

Unsere Forschungsbereiche.


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



Zum Seitenanfang