| 2024 | VECoS | Reinforcement Learning for Discretized Euclidean MDPs. | Manfred Jaeger, Kim Guldstrand Larsen |
| 2023 | CIKM | Joint Link Prediction Via Inference from a Model. | Parmis Naddaf, Erfaneh Mahmoudzaheh Ahmadi Nejad, Kiarash Zahirnia, Manfred Jaeger, Oliver Schulte |
| 2021 | IJCAI | Learning Aggregation Functions. | Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger |
| 2020 | IJCAI | A Complete Characterization of Projectivity for Statistical Relational Models. | Manfred Jaeger, Oliver Schulte |
| 2020 | ISoLA | Approximating Euclidean by Imprecise Markov Decision Processes. | Manfred Jaeger, Giorgio Bacci, Giovanni Bacci, Kim Guldstrand Larsen, Peter Gjl Jensen |
| 2020 | RV | From Statistical Model Checking to Run-Time Monitoring Using a Bayesian Network Approach. | Manfred Jaeger, Kim G. Larsen, Alessandro Tibo |
| 2019 | ATVA | Teaching Stratego to Play Ball: Optimal Synthesis for Continuous Space MDPs. | Manfred Jaeger, Peter Gjl Jensen, Kim Guldstrand Larsen, Axel Legay, Sean Sedwards, Jakob Haahr Taankvist |
| 2018 | SIGCOMM | NetSlicer: Automated and Traffic-Pattern Based Application Clustering in Datacenters. | Liron Schiff, Ofri Ziv, Manfred Jaeger, Stefan Schmid |
| 2016 | SIGMOD | Learning-Based Cleansing for Indoor RFID Data. | Asif Iqbal Baba, Manfred Jaeger, Hua Lu, Torben Bach Pedersen, Wei-Shinn Ku, Xike Xie |
| 2014 | ICPRAM | Multiple Segmentation of Image Stacks. | Jonathan Smets, Manfred Jaeger |
| 2014 | ICPRAM | Multiple Image Segmentation. | Jonathan Smets, Manfred Jaeger |
| 2014 | ISMIS | Community Detection for Multiplex Social Networks Based on Relational Bayesian Networks. | Jiuchuan Jiang, Manfred Jaeger |
| 2010 | ILP | Extending ProbLog with Continuous Distributions. | Bernd Gutmann, Manfred Jaeger, Luc De Raedt |
| 2008 | ILP | Feature Discovery with Type Extension Trees. | Paolo Frasconi, Manfred Jaeger, Andrea Passerini |
| 2007 | ICML | Parameter learning for relational Bayesian networks. | Manfred Jaeger |
| 2006 | UAI | The AI&M Procedure for Learning from Incomplete Data. | Manfred Jaeger |
| 2003 | ECSQARU | A Representation Theorem and Applications. | Manfred Jaeger |
| 2003 | ICML | Probabilistic Classifiers and the Concepts They Recognize. | Manfred Jaeger |
| 2002 | ICDM | A Theory of Inductive Query Answering. | Luc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila |
| 2001 | IJCAI | Constraints as Data: A New Perspective on Inferring Probabilities. | Manfred Jaeger |
| 1998 | KR | Reasoning About Infinite Random Structures with Relational Bayesian Networks. | Manfred Jaeger |
| 1998 | LICS | Convergence Results for Relational Bayesian Networks. | Manfred Jaeger |
| 1998 | UAI | Measure Selection: Notions of Rationality and Representation Independence. | Manfred Jaeger |
| 1997 | UAI | Relational Bayesian Networks. | Manfred Jaeger |
| 1996 | KR | Representation Independence of Nonmonotonic Inference Relations. | Manfred Jaeger |
| 1995 | IJCAI | Minimum Cross-Entropy Reasoning: A Statistical Justification. | Manfred Jaeger |
| 1994 | KR | Probabilistic Reasoning in Terminological Logics. | Manfred Jaeger |
| 1994 | UAI | A Logic for Default Reasoning About Probabilities. | Manfred Jaeger |