| 2025 | AISTATS | Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention. | Alexander Koebler, Thomas Decker, Ingo Thon, Volker Tresp, Florian Buettner |
| 2024 | HCI | Through the Eyes of the Expert: Aligning Human and Machine Attention for Industrial AI. | Alexander Koebler, Christian Greisinger, Jan Paulus, Ingo Thon, Florian Buettner |
| 2024 | ICDM | MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model. | Alexander Koebler, Ingo Thon, Florian Buettner |
| 2024 | KDD | Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance. | Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner |
| 2023 | AAAI | Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents. | Felippe Schmoeller Roza, Simon Hadwiger, Ingo Thon, Karsten Roscher |
| 2016 | ICDM | Knowledge Graph Constraints for Multi-label Graph Classification. | Martin Ringsquandl, Steffen Lamparter, Ingo Thon, Raffaello Lepratti, Peer Krger |
| 2015 | IJCAI | Inducing Probabilistic Relational Rules from Probabilistic Examples. | Luc De Raedt, Anton Dries, Ingo Thon, Guy Van den Broeck, Mathias Verbeke |
| 2013 | ECSQARU | MCMC Estimation of Conditional Probabilities in Probabilistic Programming Languages. | Bogdan Moldovan, Ingo Thon, Jesse Davis, Luc De Raedt |
| 2011 | UAI | Inference in Probabilistic Logic Programs using Weighted CNF's. | Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt |
| 2010 | AAAI | DTProbLog: A Decision-Theoretic Probabilistic Prolog. | Guy Van den Broeck, Ingo Thon, Martijn van Otterlo, Luc De Raedt |
| 2010 | AAAI | Probabilistic Programming for Planning Problems. | Ingo Thon, Bernd Gutmann, Guy Van den Broeck |
| 2010 | ILP | Probabilistic Rule Learning. | Luc De Raedt, Ingo Thon |
| 2009 | ILP | Don't Fear Optimality: Sampling for Probabilistic-Logic Sequence Models. | Ingo Thon |