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Anselm Paulus
Anselm Paulus
PhD Student with IMPRS-IS @ MPI-IS Tübingen
Verified email at tuebingen.mpg.de
Title
Cited by
Cited by
Year
Differentiation of blackbox combinatorial solvers
MV Pogančić, A Paulus, V Musil, G Martius, M Rolinek
International Conference on Learning Representations, 2020
322*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
1142020
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
1072020
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
722021
Advprompter: Fast adaptive adversarial prompting for llms
A Paulus, A Zharmagambetov, C Guo, B Amos, Y Tian
arXiv preprint arXiv:2404.16873, 2024
272024
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
212022
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
A Paulus, G Martius, V Musil
arXiv preprint arXiv:2407.05920, 2024
2024
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
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Articles 1–9