Anselm Paulus

According to our database, Anselm Paulus authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs.

Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian

CoRR, 2024

LPGD: A General Framework for Backpropagation through Embedded Optimization Layers.

Anselm Paulus, Georg Martius, Vít Musil

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Backpropagation through Combinatorial Algorithms: Identity with Projection Works.

Subham Sekhar Sahoo, Anselm Paulus, Marin Vlastelica, Vít Musil, Volodymyr Kuleshov, Georg Martius

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Gradient Backpropagation Through Combinatorial Algorithms: Identity with Projection Works.

Subham Sekhar Sahoo, Marin Vlastelica, Anselm Paulus, Vít Musil, Volodymyr Kuleshov, Georg Martius

CoRR, 2022

2021

CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints.

Anselm Paulus, Michal Rolínek, Vít Musil, Brandon Amos, Georg Martius

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Differentiation of Blackbox Combinatorial Solvers.

Marin Vlastelica Pogancic, Anselm Paulus, Vít Musil, Georg Martius, Michal Rolínek

Proceedings of the 8th International Conference on Learning Representations, 2020

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers.

Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius

Proceedings of the Computer Vision - ECCV 2020, 2020

Optimizing Rank-Based Metrics With Blackbox Differentiation.

Michal Rolínek, Vít Musil, Anselm Paulus, Marin Vlastelica P., Claudio Michaelis, Georg Martius

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020