| 2026 | ACL | PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data. | Pawel Batorski, Paul Swoboda |
| 2026 | ESANN | NSA: Neuro-symbolic ARC Challenge. | Pawel Batorski, Jannik Brinkmann, Paul Swoboda |
| 2026 | ICPR | Normalized Matching Transformer. | Abtin Pourhadi, Paul Swoboda |
| 2024 | AAAI | DOGE-Train: Discrete Optimization on GPU with End-to-End Training. | Ahmed Abbas, Paul Swoboda |
| 2024 | ACL | A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task. | Jannik Brinkmann, Abhay Sheshadri, Victor Levoso, Paul Swoboda, Christian Bartelt |
| 2024 | ECCV | DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching. | Paul Roetzer, Ahmed Abbas, Dongliang Cao, Florian Bernard, Paul Swoboda |
| 2023 | AAAI | Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. | Duy M. H. Nguyen, Hoang Nguyen, Truong Thanh Nhat Mai, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag |
| 2023 | ICCV | A Multidimensional Analysis of Social Biases in Vision Transformers. | Jannik Brinkmann, Paul Swoboda, Christian Bartelt |
| 2023 | ICML | ClusterFuG: Clustering Fully connected Graphs by Multicut. | Ahmed Abbas, Paul Swoboda |
| 2022 | CVPR | FastDOG: Fast Discrete Optimization on GPU. | Ahmed Abbas, Paul Swoboda |
| 2022 | CVPR | RAMA: A Rapid Multicut Algorithm on GPU. | Ahmed Abbas, Paul Swoboda |
| 2022 | CVPR | LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. | Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda |
| 2022 | CVPR | A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching. | Paul Roetzer, Paul Swoboda, Daniel Cremers, Florian Bernard |
| 2022 | ECCV | A Comparative Study of Graph Matching Algorithms in Computer Vision. | Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmller, Paul Swoboda, Bogdan Savchynskyy |
| 2021 | ICCV | Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. | Andrea Hornkov, Timo Kaiser, Paul Swoboda, Michal Rolnek, Bodo Rosenhahn, Roberto Henschel |
| 2021 | ICML | Efficient Message Passing for 0-1 ILPs with Binary Decision Diagrams. | Jan-Hendrik Lange, Paul Swoboda |
| 2020 | AISTATS | A Primal-Dual Solver for Large-Scale Tracking-by-Assignment. | Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy |
| 2020 | ECCV | Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. | Michal Rolnek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vt Musil, Georg Martius |
| 2020 | ICML | Lifted Disjoint Paths with Application in Multiple Object Tracking. | Andrea Hornkov, Roberto Henschel, Bodo Rosenhahn, Paul Swoboda |
| 2019 | CVPR | Combinatorial Persistency Criteria for Multicut and Max-Cut. | Jan-Hendrik Lange, Bjoern Andres, Paul Swoboda |
| 2019 | CVPR | MAP Inference via Block-Coordinate Frank-Wolfe Algorithm. | Paul Swoboda, Vladimir Kolmogorov |
| 2019 | CVPR | A Convex Relaxation for Multi-Graph Matching. | Paul Swoboda, Dagmar Kainmller, Ashkan Mokarian, Christian Theobalt, Florian Bernard |
| 2019 | ICCV | Bottleneck Potentials in Markov Random Fields. | Ahmed Abbas, Paul Swoboda |
| 2019 | ICCV | HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching. | Florian Bernard, Johan Thunberg, Paul Swoboda, Christian Theobalt |
| 2018 | AAAI | Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation. | Stefan Haller, Paul Swoboda, Bogdan Savchynskyy |
| 2017 | CVPR | A Message Passing Algorithm for the Minimum Cost Multicut Problem. | Paul Swoboda, Bjoern Andres |
| 2017 | CVPR | A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. | Paul Swoboda, Jan Kuske, Bogdan Savchynskyy |
| 2017 | CVPR | A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching. | Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmller, Bogdan Savchynskyy |
| 2015 | CVPR | Maximum persistency via iterative relaxed inference with graphical models. | Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy |
| 2014 | CVPR | Partial Optimality by Pruning for MAP-Inference with General Graphical Models. | Paul Swoboda, Bogdan Savchynskyy, Jrg H. Kappes, Christoph Schnrr |
| 2004 | DEXA | An Active Functional Intensional Database. | Paul Swoboda, John Plaice |