2024:

• "A mechanistic analysis of a transformer trained on a symbolic multi-step reasoning task", Jannik Brinkmann, Abhay Sheshadri, Victor Levoso, Paul Swoboda, Christian Bartelt, ACL-Findings 2024
• "Fast discrete optimisation for geometrically consistent 3d shape matching, Paul Roetzer, Ahmed Abbas, Dongliang Cao, Florian Bernard, Paul Swoboda, ECCV 2024
• "DOGE-Train: Discrete Optimization on GPU with End-to-end Training", Abbas, Ahmed and Swoboda, Paul, AAAI Conference on Artificial Intelligence (AAAI) 2024

2023:

• "LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching", Nguyen, Duy M. H. and Nguyen, Hoang and Diep, Nghiem T. and Pham, Tan N. and Cao, Tri and Nguyen, Binh T. and Swoboda, Paul and Ho, Nhat and Albarqouni, Shadi and Xie, Pengtao and Sonntag, Daniel and Niepert, Mathias, Advances in Neural Information Processing Systems (NeurIPS) 2023
• "A Multidimensional Analysis of Social Biases in Vision Transformers", Brinkmann, Jannik and Swoboda, Paul and Bartelt, Christian, IEEE International Conference on Computer Vision (ICCV) 2023
•  "ClusterFuG: Clustering Fully connected Graphs by Multicut", Abbas, Ahmed and Swoboda, Paul, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023
• "Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering", Nguyen, Duy M. H. and Nguyen, Hoang and Truong, Mai T. N. and Cao, Tri and Nguyen, Binh T. and Ho, Nhat and Swoboda, Paul and Albarqouni, Shadi and Xie, Pengtao and Sonntag, Daniel, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) 2023

2022:

• "A Comparative Study of Graph Matching Algorithms in Computer Vision", Haller, Stefan and Feineis, Lorenz and Hutschenreiter, Lisa and Bernard, Florian and Rother, Carsten and Kainmuller, Dagmar and Swoboda, Paul and Savchynskyy, Bogdan, IEEE European Conference on Computer Vision (ECCV) 2022 
• "DOGE-Train: Discrete Optimization on GPU with End-to-end Training", Abbas, Ahmed and Swoboda, Paul, Arxiv 2022 
• "Structured Prediction Problem Archive", Swoboda, Paul and Hornakova, Andrea and Roetzer, Paul and Savchynskyy, Bogdan and Abbas, Ahmed, Arxiv 2022 
• "FastDOG: Fast Discrete Optimization on GPU", Abbas, Ahmed and Swoboda, Paul, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022 
• "RAMA: A Rapid Multicut Algorithm on GPU", Abbas, Ahmed and Swoboda, Paul, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022 
• "LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking", Nguyen, Duy M. H. and Henschel, Roberto and Rosenhahn, Bodo and Sonntag, Daniel and Swoboda, Paul, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022 
• "A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching", Roetzer, Paul and Swoboda, Paul and Cremers, Daniel and Bernard, Florian, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022

2021:

• "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach", Abbas, Ahmed and Swoboda, Paul, Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) 2021 
• "Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths", Hornakova, Andrea and Kaiser, Timo and Swoboda, Paul and Rolinek, Michal and Rosenhahn, Bodo and Henschel, Roberto, Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2021 
• "Efficient Message Passing for 0-1 {ILPs} with Binary Decision Diagrams", Lange, Jan-Hendrik and Swoboda, Paul, Proceedings of the International Conference on Machine Learning (ICML) 2021

2020:

• "Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers", Rolínek, Michal and Swoboda, Paul and Zietlow, Dominik and Paulus, Anselm and Musil, Vít and Martius, Georg, Proceedings of the IEEE European Conference on Computer Vision (ECCV) 2020 
• "Lifted Disjoint Paths with Application in Multiple Object Tracking", Hornakova, Andrea and Henschel, Roberto and Rosenhahn, Bodo and Swoboda, Paul, Proceedings of the International Conference on Machine Learning (ICML) 2020 

2019:

• "A Primal-Dual Solver for Large-Scale Tracking-by-Assignment", Haller, Stefan and Prakash, Mangal and Hutschenreiter, Lisa and Pietzsch, Tobias and Rother, Carsten and Jug, Florian and Swoboda, Paul and Savchynskyy, Bogdan, Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 2020 
• "Bottleneck potentials in Markov Random Fields", Abbas, Ahmed and Swoboda, Paul, Proceedings of the Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2019 
• "Higher-order Projected Power Iterations for Scalable Multi-Matching", Bernard, Florian and Thunberg, Johan and Swoboda, Paul and Theobalt, Christian, Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2019 
• "A Convex Relaxation for Multi-Graph Matching", Swoboda, Paul and Mokarian, Ashkan and Theobalt, Christian and Bernard, Florian and others, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019 
• "Combinatorial persistency criteria for multicut and max-cut", Lange, Jan-Hendrik and Andres, Bjoern and Swoboda, Paul, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)2019 
• "MAP inference via Block-Coordinate Frank-Wolfe Algorithm", Swoboda, Paul and Kolmogorov, Vladimir, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019 

2018:

• "Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation", Haller, Stefan and Swoboda, Paul and Savchynskyy, Bogdan, Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence 2018 

2017:

• "A novel convex relaxation for non-binary discrete tomography", Kuske, Jan and Swoboda, Paul and Petra, Stefania, International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2017 
• "A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching"Swoboda, Paul and Rother, Carsten and Abu Alhaija, Hassan and Kainmuller, Dagmar and Savchynskyy, Bogdan, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 
• "A message passing algorithm for the minimum cost multicut problem", Swoboda, Paul and Andres, Bjoern, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 
• "A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems", Swoboda, Paul and Kuske, Jan and Savchynskyy, Bogdan, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 

2016:

• "Partial Optimality by Pruning for MAP", Swoboda, Paul and Shekhovtsov, Alexander and Kappes, Jörg Hendrik and Schnörr, Christoph and Savchynskyy, Bogdan, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2016 
• "Multicuts and Perturb & MAP for Probabilistic Graph Clustering", Kappes, Jörg Hendrik and Swoboda, Paul and Savchynskyy, Bogdan and Hazan, Tamir and Schnörr, Christoph, Journal of Mathematical Imaging and Vision (JMIV) 2016 

2015:

• "Maximum Persistency via Iterative Relaxed Inference with Graphical Models", Shekhovtsov, Alexander and Swoboda, Paul and Savchynskyy, Bogdan, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015 
• "Maximum Persistency via Iterative Relaxed Inference with Graphical Models", Kappes, Jörg Hendrik and Swoboda, Paul and Savchynskyy, Bogdan and Hazan, Tamir and Schnörr, Christoph, International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2015 

2014:

• "Partial optimality by pruning for MAP", Swoboda, Paul and Savchynskyy, Bogdan and Kappes, Jörg H and Schnörr, Christoph, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)2014, Best student paper award

2013:

• "Convex Variational Image Restoration with Histogram Priors", Swoboda, Paul and Schnörr, Christoph, SIAM Journal on Imaging Sciences 2013 
• "Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation", Savchynskyy, Bogdan and Kappes, Jörg Hendrik and Swoboda, Paul and Schnörr, Christoph, Advances in Neural Information Processing Systems (NIPS) 2013 
• "Partial optimality via iterative pruning for the Potts model,", Swoboda, Paul and Savchynskyy, Bogdan and Kappes, Jörg H and Schnörr, Christoph,  International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013