Michal Rolínek

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Citations	1049	984
h-index	14	13
i10-index	16	14

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Georg MartiusUniversity of Tübingen and Max Planck Institute for Intelligent SystemsVerified email at uni-tuebingen.de
Anselm PaulusPhD Student with IMPRS-IS @ MPI-IS TübingenVerified email at tuebingen.mpg.de
Vít MusilResearcher, Masaryk University, Brno, CzechiaVerified email at fi.muni.cz
Vladimir KolmogorovIST AustriaVerified email at ist.ac.at
Dominik ZietlowAmazon Web Services TübingenVerified email at amazon.de
Marin VlastelicaPhD Student in Machine Learning, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Paul SwobodaHeinrich-Heine Universität DüsseldorfVerified email at hhu.de
Brandon AmosMetaVerified email at fb.com
C. V. JawaharCVIT, IIIT Hyderabad, IndiaVerified email at iiit.ac.in
M. Pawan KumarGoogle DeepMindVerified email at deepmind.com
Andrei KrokhinProfessor of Computer Science, Durham University, UKVerified email at durham.ac.uk
Cristina PinneriPhD Student, Max Planck Institute for Intelligent Systems & ETH ZurichVerified email at tuebingen.mpg.de
Sebastian BlaesPostdoctoral Researcher at the Max-Planck Institute for Intelligent Systems, Autonomous LearningVerified email at tue.mpg.de
Thomas PockProfessor of Computer Science, TU GrazVerified email at icg.tugraz.at
Josef TkadlecCharles University, PragueVerified email at iuuk.mff.cuni.cz
Leonid ReyzinProfessor of Computer Science, Boston UniversityVerified email at cs.bu.edu
krzysztof pietrzakProfessor, Cryptography, IST AustriaVerified email at ist.ac.at
Peter GažiIOG ResearchVerified email at iohk.io
Rustem TakhanovNazarbayev UniversityVerified email at nu.edu.kz
Alexandr KazdaPostdoc, IST AustriaVerified email at ist.ac.at

Michal Rolínek

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Verified email at tuebingen.mpg.de - Homepage

Machine learning discrete optimization computer vision


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Differentiation of blackbox combinatorial solvers MV Pogančić, A Paulus, V Musil, G Martius, M Rolinek International Conference on Learning Representations, 2019	233*	2019
Variational autoencoders pursue pca directions (by accident) M Rolinek, D Zietlow, G Martius Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	149	2019
The complexity of general-valued CSPs V Kolmogorov, A Krokhin, M Rolínek SIAM Journal on Computing 46 (3), 1087-1110, 2017	97	2017
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	92	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	80	2020
Sample-efficient cross-entropy method for real-time planning C Pinneri, S Sawant, S Blaes, J Achterhold, J Stueckler, M Rolinek, ... Conference on Robot Learning, 1049-1065, 2021	69	2021
L4: Practical loss-based stepsize adaptation for deep learning M Rolinek, G Martius Advances in Neural Information Processing Systems, 6433-6443, 2018	61	2018
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	52	2021
Efficient Optimization for Rank-based Loss Functions P Mohapatra, M Rolinek, CV Jawahar, V Kolmogorov, MP Kumar CVPR 2018, 2016	43	2016
Total variation on a tree V Kolmogorov, T Pock, M Rolinek SIAM Journal on Imaging Sciences 9 (2), 605-636, 2016	39	2016
Making higher order mot scalable: An efficient approximate solver for lifted disjoint paths A Hornakova, T Kaiser, P Swoboda, M Rolinek, B Rosenhahn, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	30	2021
Demystifying inductive biases for (beta-) VAE based architectures D Zietlow, M Rolinek, G Martius International Conference on Machine Learning, 12945-12954, 2021	24	2021
On the memory-hardness of data-independent password-hashing functions J Alwen, P Gaži, C Kamath, K Klein, G Osang, K Pietrzak, L Reyzin, ... Cryptology ePrint Archive, 2016	17	2016
Discrete planning with end-to-end trained neuro-algorithmic policies M Vlastelica, M Rolinek, G Martius ICML, 2020	14*	2020
Effectiveness of structural restrictions for hybrid CSPs V Kolmogorov, M Rolínek, R Takhanov International Symposium on Algorithms and Computation, 566-577, 2015	14	2015
Even delta-matroids and the complexity of planar Boolean CSPs A Kazda, V Kolmogorov, M Rolínek ACM Transactions on Algorithms (TALG) 15 (2), 1-33, 2018	13	2018
The Miquel points, pseudocircumcenter, and Euler-Poncelet point of a complete quadrilateral M Rolínek, LA Dung Forum Geometricorum 14, 145–153, 2014	8	2014
107 Geometry Problems from AwesomeMath Year Round Program T Andreescu, M Rolinek, J Tkadlec XYZ Press, 2013	7	2013
Superconcentrators of Density 25.3 V Kolmogorov, M Rolinek arXiv preprint arXiv:1405.7828, 2014	3*	2014
Planning from pixels in environments with combinatorially hard search spaces M Bagatella, M Olšák, M Rolínek, G Martius Advances in Neural Information Processing Systems 34, 24707-24718, 2021	2	2021

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