Michal Rolínek

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Georg MartiusUniversity of Tübingen and Max Planck Institute for Intelligent SystemsEmail verificata su uni-tuebingen.de
Anselm PaulusPhD Student with IMPRS-IS @ MPI-IS TübingenEmail verificata su tuebingen.mpg.de
Vít MusilAssistant Professor, Masaryk University, Brno, CzechiaEmail verificata su fi.muni.cz
Vladimir KolmogorovIST AustriaEmail verificata su ist.ac.at
Dominik ZietlowLead Analyst, Second FoundationEmail verificata su second-foundation.eu
Marin VlastelicaPostdoctoral Fellow @ ETH AI CenterEmail verificata su ethz.ch
Paul SwobodaHeinrich-Heine Universität DüsseldorfEmail verificata su hhu.de
Brandon AmosMetaEmail verificata su fb.com
C. V. JawaharCVIT, IIIT Hyderabad, IndiaEmail verificata su iiit.ac.in
M. Pawan KumarGoogle DeepMindEmail verificata su deepmind.com
Cristina PinneriPhD Student, Max Planck Institute for Intelligent Systems & ETH ZurichEmail verificata su tuebingen.mpg.de
Sebastian BlaesPostdoctoral Researcher at the Max-Planck Institute for Intelligent Systems, Autonomous LearningEmail verificata su tue.mpg.de
Andrei KrokhinProfessor of Computer Science, Durham University, UKEmail verificata su durham.ac.uk
Thomas PockProfessor of Computer Science, TU GrazEmail verificata su icg.tugraz.at
Josef TkadlecCharles University, PragueEmail verificata su iuuk.mff.cuni.cz
Leonid ReyzinProfessor of Computer Science, Boston UniversityEmail verificata su cs.bu.edu
krzysztof pietrzakProfessor, Cryptography, IST AustriaEmail verificata su ist.ac.at
Peter GažiIOG ResearchEmail verificata su iohk.io
Alexandr KazdaFreelance Data ScientistEmail verificata su karlin.mff.cuni.cz
Rustem TakhanovNazarbayev UniversityEmail verificata su nu.edu.kz

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Michal Rolínek

Quant Finance, Second Foundation

Email verificata su second-foundation.eu - Home page

Machine learning discrete optimization computer vision


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Differentiation of blackbox combinatorial solvers MV Pogančić, A Paulus, V Musil, G Martius, M Rolinek International Conference on Learning Representations, 2019	365*	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	193	2019
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	127	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	122	2021
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	119	2020
The complexity of general-valued CSPs V Kolmogorov, A Krokhin, M Rolínek SIAM Journal on Computing 46 (3), 1087-1110, 2017	100	2017
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	83	2021
L4: Practical loss-based stepsize adaptation for deep learning M Rolinek, G Martius Advances in Neural Information Processing Systems, 6433-6443, 2018	76	2018
Efficient Optimization for Rank-based Loss Functions P Mohapatra, M Rolinek, CV Jawahar, V Kolmogorov, MP Kumar CVPR 2018, 2016	59	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	45	2021
Total variation on a tree V Kolmogorov, T Pock, M Rolinek SIAM Journal on Imaging Sciences 9 (2), 605-636, 2016	44	2016
Demystifying inductive biases for (beta-) vae based architectures D Zietlow, M Rolinek, G Martius International Conference on Machine Learning, 12945-12954, 2021	37	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	21	2016
Discrete planning with end-to-end trained neuro-algorithmic policies M Vlastelica, M Rolinek, G Martius ICML, 2020	19*	2020
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	15	2018
Effectiveness of structural restrictions for hybrid CSPs V Kolmogorov, M Rolínek, R Takhanov International Symposium on Algorithms and Computation, 566-577, 2015	15	2015
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	8	2021
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

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