| 2024 | ICAPS | Abstraction Heuristics for Factored Tasks. | Clemens Bchner, Patrick Ferber, Jendrik Seipp, Malte Helmert |
| 2024 | IJCAI | Guiding GBFS through Learned Pairwise Rankings. | Mingyu Hao, Felipe W. Trevizan, Sylvie Thibaux, Patrick Ferber, Jrg Hoffmann |
| 2022 | AAAI | Explainable Planner Selection for Classical Planning. | Patrick Ferber, Jendrik Seipp |
| 2022 | IJCAI | Learning and Exploiting Progress States in Greedy Best-First Search. | Patrick Ferber, Liat Cohen, Jendrik Seipp, Thomas Keller |
| 2022 | SoCS | Neural Network Heuristic Functions: Taking Confidence into Account. | Daniel Heller, Patrick Ferber, Julian Bitterwolf, Matthias Hein, Jrg Hoffmann |
| 2020 | AAAI | Online Planner Selection with Graph Neural Networks and Adaptive Scheduling. | Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz |
| 2020 | ECAI | Neural Network Heuristics for Classical Planning: A Study of Hyperparameter Space. | Patrick Ferber, Malte Helmert, Jrg Hoffmann |
| 2019 | AAAI | Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection. | Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber |