| Differentiation of blackbox combinatorial solvers MV Pogančić, A Paulus, V Musil, G Martius, M Rolinek International Conference on Learning Representations, 2020 | 297* | 2020 |
| Deep graph matching via blackbox differentiation of combinatorial solvers M Rolínek, P Swoboda, D Zietlow, A Paulus, V Musil, G Martius Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 109 | 2020 |
| Optimizing rank-based metrics with blackbox differentiation M Rolínek, V Musil, A Paulus, M Vlastelica, C Michaelis, G Martius Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 101 | 2020 |
| Comboptnet: Fit the right np-hard problem by learning integer programming constraints A Paulus, M Rolínek, V Musil, B Amos, G Martius International Conference on Machine Learning, 8443-8453, 2021 | 65 | 2021 |
| Backpropagation through combinatorial algorithms: Identity with projection works SS Sahoo, A Paulus, M Vlastelica, V Musil, V Kuleshov, G Martius arXiv preprint arXiv:2205.15213, 2022 | 18 | 2022 |
| Advprompter: Fast adaptive adversarial prompting for llms A Paulus, A Zharmagambetov, C Guo, B Amos, Y Tian arXiv preprint arXiv:2404.16873, 2024 | 13 | 2024 |
| LPGD: A General Framework for Backpropagation through Embedded Optimization Layers A Paulus, G Martius, V Musil arXiv preprint arXiv:2407.05920, 2024 | | 2024 |
| Differentiation of Blackbox Combinatorial Solvers M Vlastelica Pogancic, A Paulus, V Musil, G Martius, M Rolinek Eighth International Conference on Learning Representations (ICLR 2020 …, 2023 | | 2023 |
| Lagrangian Proximal Gradient Descent for Learning Convex Optimization Models A Paulus, G Martius, V Musil | | |
| 4.13 Blackbox Differentiation: Empower Deep Networks with Combinatorial Algorithms G Martius, A Paulus Machine Learning and Logical Reasoning: The New Frontier, 100, 0 | | |
Georg MartiusUniversity of Tübingen and Max Planck Institute for Intelligent SystemsVerified email at uni-tuebingen.de
