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51 Publications

2017 | Research Data | IST-REx-ID: 5561   OA
Kainmueller, Dagmar, et al. Graph Matching Problems for Annotating C. Elegans. IST Austria, 2017, doi:10.15479/AT:ISTA:57.
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2016 | Conference Paper | IST-REx-ID: 1231   OA
Alwen, Joel F., et al. On the Complexity of Scrypt and Proofs of Space in the Parallel Random Oracle Model. Vol. 9666, Springer, 2016, pp. 358–87, doi:10.1007/978-3-662-49896-5_13.
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2016 | Journal Article | IST-REx-ID: 1612   OA
Kazda, Alexandr. “CSP for Binary Conservative Relational Structures.” Algebra Universalis, vol. 75, no. 1, Springer, 2016, pp. 75–84, doi:10.1007/s00012-015-0358-8.
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2016 | Journal Article | IST-REx-ID: 1794
Kolmogorov, Vladimir, and Rustem Takhanov. “Inference Algorithms for Pattern-Based CRFs on Sequence Data.” Algorithmica, vol. 76, no. 1, Springer, 2016, pp. 17–46, doi:10.1007/s00453-015-0017-7.
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2016 | Conference Paper | IST-REx-ID: 1193
Kolmogorov, Vladimir. “Commutativity in the Algorithmic Lovasz Local Lemma.” Proceedings - Annual IEEE Symposium on Foundations of Computer Science, vol. 2016–December, 7782993, IEEE, 2016, doi:10.1109/FOCS.2016.88.
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2016 | Journal Article | IST-REx-ID: 1377   OA
Kolmogorov, Vladimir, et al. “Total Variation on a Tree.” SIAM Journal on Imaging Sciences, vol. 9, no. 2, Society for Industrial and Applied Mathematics , 2016, pp. 605–36, doi:10.1137/15M1010257.
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2016 | Journal Article | IST-REx-ID: 1353   OA
Barto, Libor, and Alexandr Kazda. “Deciding Absorption.” International Journal of Algebra and Computation, vol. 26, no. 5, World Scientific Publishing, 2016, pp. 1033–60, doi:10.1142/S0218196716500430.
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2016 | Research Data | IST-REx-ID: 5557   OA
Swoboda, Paul. Synthetic Discrete Tomography Problems. IST Austria, 2016, doi:10.15479/AT:ISTA:46.
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2015 | Conference Paper | IST-REx-ID: 1636   OA
Kolmogorov, Vladimir, et al. Effectiveness of Structural Restrictions for Hybrid CSPs. Vol. 9472, Springer, 2015, pp. 566–77, doi:10.1007/978-3-662-48971-0_48.
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2015 | Conference Paper | IST-REx-ID: 1675
Dziembowski, Stefan, et al. Proofs of Space. Vol. 9216, Springer, 2015, pp. 585–605, doi:10.1007/978-3-662-48000-7_29.
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2015 | Journal Article | IST-REx-ID: 1841   OA
Kolmogorov, Vladimir. “A New Look at Reweighted Message Passing.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 5, IEEE, 2015, pp. 919–30, doi:10.1109/TPAMI.2014.2363465.
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2015 | Conference Paper | IST-REx-ID: 1637
Kolmogorov, Vladimir, et al. The Complexity of General-Valued CSPs. IEEE, 2015, pp. 1246–58, doi:10.1109/FOCS.2015.80.
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2015 | Conference Paper | IST-REx-ID: 1859   OA
Shah, Neel, et al. A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly Max-Oracle. IEEE, 2015, pp. 2737–45, doi:10.1109/CVPR.2015.7298890.
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2015 | Journal Article | IST-REx-ID: 2271
Kolmogorov, Vladimir, et al. “The Power of Linear Programming for General-Valued CSPs.” SIAM Journal on Computing, vol. 44, no. 1, SIAM, 2015, pp. 1–36, doi:10.1137/130945648.
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2014 | Conference Paper | IST-REx-ID: 2275   OA
Olsson, Carl, et al. Partial Enumeration and Curvature Regularization. IEEE, 2014, pp. 2936–43, doi:10.1109/ICCV.2013.365.
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2013 | Conference Paper | IST-REx-ID: 2272   OA
Takhanov, Rustem, and Vladimir Kolmogorov. “Inference Algorithms for Pattern-Based CRFs on Sequence Data.” ICML’13 Proceedings of the 30th International Conference on International, vol. 28, no. 3, International Machine Learning Society, 2013, pp. 145–53.
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2013 | Conference Paper | IST-REx-ID: 2518   OA
Kolmogorov, Vladimir. The Power of Linear Programming for Finite-Valued CSPs: A Constructive Characterization. Vol. 7965, no. 1, Springer, 2013, pp. 625–36, doi:10.1007/978-3-642-39206-1_53.
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2013 | Journal Article | IST-REx-ID: 2828   OA
Kolmogorov, Vladimir, and Stanislav Živný. “The Complexity of Conservative Valued CSPs.” Journal of the ACM, vol. 60, no. 2, 10, ACM, 2013, doi:10.1145/2450142.2450146.
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2013 | Report | IST-REx-ID: 2273   OA
Kolmogorov, Vladimir. Reweighted Message Passing Revisited. IST Austria, 2013.
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2013 | Conference Paper | IST-REx-ID: 2901   OA
Chen, Chao, et al. Computing the M Most Probable Modes of a Graphical Model. Vol. 31, JMLR, 2013, pp. 161–69.
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