Manfred Jaeger

Manfred Jaeger is an Associate Professor at the Department of Computer Science, Technical Faculty of IT and Design, Aalborg University. His research focuses on Artificial Intelligence, Bayesian Networks, and Graph Neural Networks, with significant contributions to probabilistic reasoning and relational learning.

• University: Aalborg University
• School: Technical Faculty of IT and Design
• Department: Department of Computer Science

Jaeger's research explores inductive and probabilistic reasoning, statistical relational learning, and model checking. His recent work integrates heterogeneous graph neural networks with relational Bayesian network encodings to enhance reasoning capabilities in complex systems.

Key trends in his publications include relational deep learning, probabilistic inference, and graph-based modeling. He has contributed to applications in social network community detection, reinforcement learning for MDPs, and latent variable models for graph learning.

Jaeger collaborates on projects involving incomplete data analysis, modularization of complex tasks, and probabilistic logic. His datasets on multi-multi-instance learning networks are publicly available for research use.