Rolinek, Michal

12 publications

ICML 2021 CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints Anselm Paulus, Michal Rolinek, Vit Musil, Brandon Amos, Georg Martius

ICML 2021 Demystifying Inductive Biases for (Beta-)VAE Based Architectures Dominik Zietlow, Michal Rolinek, Georg Martius

ICCV 2021 Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths Andrea Hornakova, Timo Kaiser, Paul Swoboda, Michal Rolinek, Bodo Rosenhahn, Roberto Henschel

ICML 2021 Neuro-Algorithmic Policies Enable Fast Combinatorial Generalization Marin Vlastelica, Michal Rolinek, Georg Martius

NeurIPS 2021 Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella, Miroslav Olšák, Michal Rolínek, Georg Martius

ICMLW 2021 Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella, Miroslav Olšák, Michal Rolinek, Georg Martius

ECCV 2020 Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius

ICLR 2020 Differentiation of Blackbox Combinatorial Solvers Marin Vlastelica, Anselm Paulus, Vít Musil, Georg Martius, Michal Rolínek

NeurIPSW 2020 Discrete Planning with Neuro-Algorithmic Policies Marin Vlastelica Pogančić, Michal Rolinek, Georg Martius

NeurIPSW 2020 Fit the Right NP-Hard Problem: End-to-End Learning of Integer Programming Constraints Anselm Paulus, Michal Rolinek, Vít Musil, Brandon Amos, Georg Martius

CoRL 2020 Sample-Efficient Cross-Entropy Method for Real-Time Planning Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Joerg Stueckler, Michal Rolinek, Georg Martius

NeurIPS 2018 L4: Practical Loss-Based Stepsize Adaptation for Deep Learning Michal Rolinek, Georg Martius