| 2026 | KI | Code Generation for Open Data Statistics: Case Study on the Genesis Database. | Valentin Schmidberger, Julia Lapp, Albrecht Melan, Johannes Maucher |
| 2025 | ICMLA | Generation of Programmatic Rules for Document Forgery Detection Using Large Language Models. | Valentin Schmidberger, Manuel Eberhardinger, Setareh Maghsudi, Johannes Maucher |
| 2025 | IJCNN | ViPro-2: Unsupervised State Estimation via Integrated Dynamics for Guiding Video Prediction. | Patrick Takenaka, Johannes Maucher, Marco F. Huber |
| 2024 | ECCV | TrackLidFormer: A Transformer-Based Approach for Occluded Object Tracking. | Leon Eisemann, Kushal Narasimha, Johannes Maucher |
| 2024 | IJCNN | Classification of Inkjet Printers based on Droplet Statistics. | Patrick Takenaka, Manuel Eberhardinger, Daniel Griehaber, Johannes Maucher |
| 2024 | NeSy | ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios Using Procedural Knowledge. | Patrick Takenaka, Johannes Maucher, Marco F. Huber |
| 2023 | IJCAI | Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers. | Daniel Griehaber, Johannes Maucher, Ngoc Thang Vu |
| 2023 | NeSy | Towards Explainable Decision Making with Neural Program Synthesis and Library Learning. | Manuel Eberhardinger, Johannes Maucher, Setareh Maghsudi |
| 2022 | ECCV | Trapped in Texture Bias? A Large Scale Comparison of Deep Instance Segmentation. | Johannes Theodoridis, Jessica Hofmann, Johannes Maucher, Andreas Schilling |
| 2022 | KI | Imitation Learning of Logical Program Policies for Multi-Agent Reinforcement Learning. | Manuel Eberhardinger, Johannes Maucher, Setareh Maghsudi |
| 2020 | CHIRA | Automated Sign Language Translation: The Role of Artificial Intelligence Now and in the Future. | Lea Baumgrtner, Stephanie Jauss, Johannes Maucher, Gottfried Zimmermann |
| 2020 | COLING | Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning. | Daniel Griehaber, Johannes Maucher, Ngoc Thang Vu |
| 2019 | ICMLA | Enhancing Decision Tree Based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization. | Nina Schaaf, Marco F. Huber, Johannes Maucher |