| 2025 | IJCAI | Approximate Lifted Model Construction. | Malte Luttermann, Jan Speller, Marcel Gehrke, Tanya Braun, Ralf Mller, Mattis Hartwig |
| 2025 | IDEAL | Multi-dependence Conditional Vector Boosting Categorical Fidelity in Tabular-Data GANs. | Melle Mendikowski, Benjamin Schindler, Thomas Schmid, Ralf Mller, Mattis Hartwig |
| 2024 | FlAIRS | Using Data Synthesis to Improve Length of Stay Predictions for Patients with Rare Diagnoses. | Simon Schiff, Sebastian Wolfrum, Ralf Mller, Mattis Hartwig |
| 2024 | KI | Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models. | Malte Luttermann, Ralf Mller, Mattis Hartwig |
| 2023 | AI | Improved Techniques for Training Tabular GANs Using Cramer's V Statistics. | Melle Mendikowski, Benjamin Schindler, Thomas Schmid, Ralf Mller, Mattis Hartwig |
| 2023 | NeSy | How to Think About Benchmarking Neurosymbolic AI? | Johanna Ott, Arthur Ledaguenel, Cline Hudelot, Mattis Hartwig |
| 2022 | FlAIRS | Increasing State Estimation Accuracy in the Inference Algorithm on a Hybrid Factor Graph Model. | Mareike Stender, Mattis Hartwig, Tanya Braun, Ralf Mller |
| 2021 | IJCAI | Handling Overlaps When Lifting Gaussian Bayesian Networks. | Mattis Hartwig, Tanya Braun, Ralf Mller |
| 2020 | FlAIRS | Constructing Gaussian Processes for Probabilistic Graphical Models. | Mattis Hartwig, Marisa Mohr, Ralf Mller |
| 2020 | FlAIRS | New Approaches in Ordinal Pattern Representations for Multivariate Time Series. | Marisa Mohr, Florian Wilhelm, Mattis Hartwig, Ralf Mller, Karsten Keller |