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Michal Rolínek
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2020 – today
- 2021
- [c16]Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolínek, Bodo Rosenhahn, Roberto Henschel:
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. ICCV 2021: 6310-6320 - [c15]Anselm Paulus, Michal Rolínek, Vít Musil, Brandon Amos, Georg Martius:
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints. ICML 2021: 8443-8453 - [c14]Marin Vlastelica P., Michal Rolínek, Georg Martius:
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization. ICML 2021: 10575-10585 - [c13]Dominik Zietlow, Michal Rolínek, Georg Martius:
Demystifying Inductive Biases for (Beta-)VAE Based Architectures. ICML 2021: 12945-12954 - [c12]Marco Bagatella, Miroslav Olsák, Michal Rolínek, Georg Martius:
Planning from Pixels in Environments with Combinatorially Hard Search Spaces. NeurIPS 2021: 24707-24718 - [i18]Dominik Zietlow, Michal Rolínek, Georg Martius:
Demystifying Inductive Biases for β-VAE Based Architectures. CoRR abs/2102.06822 (2021) - [i17]Marin Vlastelica Pogancic, Michal Rolínek, Georg Martius:
Neuro-algorithmic Policies enable Fast Combinatorial Generalization. CoRR abs/2102.07456 (2021) - [i16]Anselm Paulus, Michal Rolínek, Vít Musil, Brandon Amos, Georg Martius:
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints. CoRR abs/2105.02343 (2021) - [i15]Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolínek, Bodo Rosenhahn, Roberto Henschel:
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. CoRR abs/2108.10606 (2021) - [i14]Marco Bagatella, Mirek Olsák, Michal Rolínek, Georg Martius:
Planning from Pixels in Environments with Combinatorially Hard Search Spaces. CoRR abs/2110.06149 (2021) - 2020
- [c11]Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Joerg Stueckler, Michal Rolínek, Georg Martius:
Sample-efficient Cross-Entropy Method for Real-time Planning. CoRL 2020: 1049-1065 - [c10]Michal Rolínek, Vít Musil, Anselm Paulus, Marin Vlastelica P., Claudio Michaelis, Georg Martius:
Optimizing Rank-Based Metrics With Blackbox Differentiation. CVPR 2020: 7617-7627 - [c9]Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius:
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. ECCV (28) 2020: 407-424 - [c8]Marin Vlastelica Pogancic, Anselm Paulus, Vít Musil, Georg Martius, Michal Rolínek:
Differentiation of Blackbox Combinatorial Solvers. ICLR 2020 - [i13]Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius:
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. CoRR abs/2003.11657 (2020) - [i12]Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Jörg Stückler, Michal Rolínek, Georg Martius:
Sample-efficient Cross-Entropy Method for Real-time Planning. CoRR abs/2008.06389 (2020)
2010 – 2019
- 2019
- [j4]Alexandr Kazda, Vladimir Kolmogorov, Michal Rolínek:
Even Delta-Matroids and the Complexity of Planar Boolean CSPs. ACM Trans. Algorithms 15(2): 22:1-22:33 (2019) - [c7]Michal Rolínek, Dominik Zietlow, Georg Martius:
Variational Autoencoders Pursue PCA Directions (by Accident). CVPR 2019: 12406-12415 - [i11]Marin Vlastelica P., Anselm Paulus, Vít Musil, Georg Martius, Michal Rolínek:
Differentiation of Blackbox Combinatorial Solvers. CoRR abs/1912.02175 (2019) - [i10]Michal Rolínek, Vít Musil, Anselm Paulus, Marin Vlastelica P., Claudio Michaelis, Georg Martius:
Optimizing Rank-based Metrics with Blackbox Differentiation. CoRR abs/1912.03500 (2019) - 2018
- [j3]Vladimir Kolmogorov, Michal Rolínek:
Superconcentrators of Density 25.3. Ars Comb. 141: 269-304 (2018) - [c6]Joël Alwen, Peter Gazi, Chethan Kamath, Karen Klein, Georg Osang, Krzysztof Pietrzak, Leonid Reyzin, Michal Rolínek, Michal Rybár:
On the Memory-Hardness of Data-Independent Password-Hashing Functions. AsiaCCS 2018: 51-65 - [c5]Pritish Mohapatra, Michal Rolínek, C. V. Jawahar, Vladimir Kolmogorov, M. Pawan Kumar:
Efficient Optimization for Rank-Based Loss Functions. CVPR 2018: 3693-3701 - [c4]Michal Rolínek, Georg Martius:
L4: Practical loss-based stepsize adaptation for deep learning. NeurIPS 2018: 6434-6444 - [i9]Michal Rolínek, Georg Martius:
L4: Practical loss-based stepsize adaptation for deep learning. CoRR abs/1802.05074 (2018) - [i8]Michal Rolínek, Dominik Zietlow, Georg Martius:
Variational Autoencoders Pursue PCA Directions (by Accident). CoRR abs/1812.06775 (2018) - 2017
- [j2]Vladimir Kolmogorov, Andrei A. Krokhin, Michal Rolínek:
The Complexity of General-Valued CSPs. SIAM J. Comput. 46(3): 1087-1110 (2017) - [c3]Alexandr Kazda, Vladimir Kolmogorov, Michal Rolínek:
Even Delta-Matroids and the Complexity of Planar Boolean CSPs. SODA 2017: 307-326 - 2016
- [j1]Vladimir Kolmogorov, Thomas Pock, Michal Rolínek:
Total Variation on a Tree. SIAM J. Imaging Sci. 9(2): 605-636 (2016) - [i7]Alexandr Kazda, Vladimir Kolmogorov, Michal Rolínek:
Even Delta-Matroids and the Complexity of Planar Boolean CSPs. CoRR abs/1602.03124 (2016) - [i6]Pritish Mohapatra, Michal Rolínek, C. V. Jawahar, Vladimir Kolmogorov, M. Pawan Kumar:
Efficient Optimization for Rank-based Loss Functions. CoRR abs/1604.08269 (2016) - [i5]Joël Alwen, Peter Gazi, Chethan Kamath, Karen Klein, Georg Osang, Krzysztof Pietrzak, Leonid Reyzin, Michal Rolínek, Michal Rybár:
On the Memory-Hardness of Data-Independent Password-Hashing Functions. IACR Cryptol. ePrint Arch. 2016: 783 (2016) - 2015
- [c2]Vladimir Kolmogorov, Andrei A. Krokhin, Michal Rolínek:
The Complexity of General-Valued CSPs. FOCS 2015: 1246-1258 - [c1]Vladimir Kolmogorov, Michal Rolínek, Rustem Takhanov:
Effectiveness of Structural Restrictions for Hybrid CSPs. ISAAC 2015: 566-577 - [i4]Vladimir Kolmogorov, Andrei A. Krokhin, Michal Rolínek:
The Complexity of General-Valued CSPs. CoRR abs/1502.07327 (2015) - [i3]Vladimir Kolmogorov, Thomas Pock, Michal Rolínek:
Total variation on a tree. CoRR abs/1502.07770 (2015) - [i2]Vladimir Kolmogorov, Michal Rolínek, Rustem Takhanov:
Effectiveness of Structural Restrictions for Hybrid CSPs. CoRR abs/1504.07067 (2015) - 2014
- [i1]Vladimir Kolmogorov, Michal Rolínek:
Superconcentrators of Density 25.3. CoRR abs/1405.7828 (2014) - 2013
- [b2]Titu Andreescu, Michal Rolínek, Josef Tkadlec:
106 Geometry Problems - From The AwesomeMath Summer Program. XYZ Press 2013, ISBN 978-0-9799269-4-5, pp. I-VIII, 1-174 - [b1]Titu Andreescu, Michal Rolínek, Josef Tkadlec:
107 Geometry Problems - From The AwesomeMath Year-Round Program. XYZ Press 2013, ISBN 978-0-9799269-7-6, pp. I-VIII, 1-188
Coauthor Index
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