| 2026 | AAAI | Managing Infinite Abstractions in Numeric Pattern Database Heuristics. | Markus Fritzsche, Daniel Gnad, Mikhail Gruntov, Alexander Shleyfman |
| 2025 | AAAI | PDBs Go Numeric: Pattern-Database Heuristics for Simple Numeric Planning. | Daniel Gnad, Lee-or Alon, Eyal Weiss, Alexander Shleyfman |
| 2025 | AAAI | Counting and Reasoning with Plans. | David Speck, Markus Hecher, Daniel Gnad, Johannes Klaus Fichte, Augusto B. Corra |
| 2025 | ECAI | Combining Heuristics and Transition Classifiers in Classical Planning. | Farid Musayev, Dominik Drexler, Daniel Gnad, Jendrik Seipp |
| 2025 | IJCAI | Decoupled Search for the Masses: A Novel Task Transformation for Classical Planning (Extended Abstract). | David Speck, Daniel Gnad |
| 2025 | ICRA | Inducing Matrix Sparsity Bias for Improved Dynamic Identification of Parallel Kinematic Manipulators using Deep Learning. | Marcel Gabriel Lahoud, Daniel Gnad, Gabriele Marchello, Mariapaola D'Imperio, Andreas Mller, Ferdinando Cannella |
| 2025 | JELIA | AxSAT - Bringing Axioms to SAT Planning. | Gregor Behnke, David Speck, Daniel Gnad |
| 2025 | KR | Interactive Exploration of Plan Spaces. | Daniel Gnad, Markus Hecher, Sarah Alice Gaggl, Dominik Rusovac, David Speck, Johannes Klaus Fichte |
| 2024 | ECAI | Cost Partitioning for Multiple Sequence Alignment. | Mika Skjelnes, Daniel Gnad, Jendrik Seipp |
| 2024 | ICAPS | Decoupled Search for the Masses: A Novel Task Transformation for Classical Planning. | David Speck, Daniel Gnad |
| 2023 | AAAI | Structurally Restricted Fragments of Numeric Planning - a Complexity Analysis. | Alexander Shleyfman, Daniel Gnad, Peter Jonsson |
| 2022 | ICRA | Computation of Dynamic Joint Reaction Forces of PKM and its Use for Load-Minimizing Trajectory Planning. | Daniel Gnad, Hubert Gattringer, Andreas Mller, Wolfgang Hbarth, Roland Riepl, Lukas Messner |
| 2022 | SoCS | Additive Pattern Databases for Decoupled Search. | Silvan Sievers, Daniel Gnad, lvaro Torralba |
| 2021 | AAAI | Revisiting Dominance Pruning in Decoupled Search. | Daniel Gnad |
| 2021 | CAV | Model Checking mega-Regular Properties with Decoupled Search. | Daniel Gnad, Jan Eisenhut, Alberto Lluch-Lafuente, Jrg Hoffmann |
| 2021 | IJCAI | Custom-Design of FDR Encodings: The Case of Red-Black Planning. | Daniel Fiser, Daniel Gnad, Michael Katz, Jrg Hoffmann |
| 2019 | AAAI | Learning How to Ground a Plan - Partial Grounding in Classical Planning. | Daniel Gnad, lvaro Torralba, Martn Ariel Domnguez, Carlos Areces, Facundo Bustos |
| 2018 | IJCAI | Unchaining the Power of Partial Delete Relaxation, Part II: Finding Plans with Red-Black State Space Search. | Maximilian Fickert, Daniel Gnad, Jrg Hoffmann |
| 2017 | IJCAI | Beyond Forks: Finding and Ranking Star Factorings for Decoupled Search. | Daniel Gnad, Valerie Poser, Jrg Hoffmann |
| 2017 | SoCS | Symbolic Leaf Representation in Decoupled Search. | Daniel Gnad, lvaro Torralba, Jrg Hoffmann |
| 2016 | IJCAI | Decoupled Strong Stubborn Sets. | Daniel Gnad, Martin Wehrle, Jrg Hoffmann |
| 2016 | IJCAI | On State-Dominance Criteria in Fork-Decoupled Search. | lvaro Torralba, Daniel Gnad, Patrick Dubbert, Jrg Hoffmann |
| 2016 | SoCS | Partial Delete Relaxation, Unchained: On Intractable Red-Black Planning and Its Applications. | Daniel Gnad, Marcel Steinmetz, Mathus Jany, Jrg Hoffmann, Ivan Serina, Alfonso Gerevini |
| 2015 | SoCS | Red-Black Planning: A New Tractability Analysis and Heuristic Function. | Daniel Gnad, Jrg Hoffmann |
| 2015 | SoCS | From Fork Decoupling to Star-Topology Decoupling. | Daniel Gnad, Jrg Hoffmann, Carmel Domshlak |