Kolmogorov, V., &; Takhanov, R. (2016). Inference algorithms for pattern-based CRFs on sequence data. Algorithmica. Springer.https://doi.org/10.1007/s00453-015-0017-7 
LibreCat: https://research-explorer.ista.ac.at/record/1794
DOI: 10.1007/s00453-015-0017-7
arXiv: 1210.0508

Swoboda, P. (2016). Synthetic discrete tomography problems. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:46 
LibreCat: https://research-explorer.ista.ac.at/record/5557
DOI: 10.15479/AT:ISTA:46

Kolmogorov, V., Rolinek, M., &; Takhanov, R. (2015). Effectiveness of structural restrictions for hybrid CSPs. In 26th International Symposium (Vol. 9472, pp. 566–577). Nagoya, Japan: Springer Nature.https://doi.org/10.1007/978-3-662-48971-0_48 
LibreCat: https://research-explorer.ista.ac.at/record/1636
DOI: 10.1007/978-3-662-48971-0_48
arXiv: 1504.07067

Kolmogorov, V. (2015). A new look at reweighted message passing. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE.https://doi.org/10.1109/TPAMI.2014.2363465 
LibreCat: https://research-explorer.ista.ac.at/record/1841
DOI: 10.1109/TPAMI.2014.2363465

Shah, N., Kolmogorov, V., &; Lampert, C. (2015). A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle (pp. 2737–2745). Presented at the CVPR: Computer Vision and Pattern Recognition, Boston, MA, USA: IEEE.https://doi.org/10.1109/CVPR.2015.7298890 
LibreCat: https://research-explorer.ista.ac.at/record/1859
DOI: 10.1109/CVPR.2015.7298890

Kolmogorov, V., Thapper, J., &; divný, S. (2015). The power of linear programming for general-valued CSPs. SIAM Journal on Computing. SIAM.https://doi.org/10.1137/130945648 
LibreCat: https://research-explorer.ista.ac.at/record/2271
DOI: 10.1137/130945648
arXiv: 1311.4219

Kolmogorov, V., Krokhin, A., &; Rolinek, M. (2015). The complexity of general-valued CSPs (pp. 1246–1258). Presented at the FOCS: Foundations of Computer Science, Berkeley, CA, United States: IEEE.https://doi.org/10.1109/FOCS.2015.80 
LibreCat: https://research-explorer.ista.ac.at/record/1637
DOI: 10.1109/FOCS.2015.80

Dziembowski, S., Faust, S., Kolmogorov, V., &; Pietrzak, K. Z. (2015). Proofs of space. In 35th Annual Cryptology Conference (Vol. 9216, pp. 585–605). Santa Barbara, CA, United States: Springer.https://doi.org/10.1007/978-3-662-48000-7_29 
LibreCat: https://research-explorer.ista.ac.at/record/1675
DOI: 10.1007/978-3-662-48000-7_29

Olsson, C., Ulen, J., Boykov, Y., &; Kolmogorov, V. (2014). Partial enumeration and curvature regularization (pp. 2936–2943). Presented at the ICCV: International Conference on Computer Vision, Sydney, Australia: IEEE.https://doi.org/10.1109/ICCV.2013.365 
LibreCat: https://research-explorer.ista.ac.at/record/2275
DOI: 10.1109/ICCV.2013.365

Huszár, K., &; Rolinek, M. (n.d.). Playful Math - An introduction to mathematical games. IST Austria.
LibreCat: https://research-explorer.ista.ac.at/record/7038

Bachrach, Y., Kohli, P., Kolmogorov, V., &; Zadimoghaddam, M. (2013). Optimal Coalition Structures in Cooperative Graph Games (pp. 81–87). Presented at the AAAI: Conference on Artificial Intelligence, Bellevue, WA, United States: AAAI Press.
LibreCat: https://research-explorer.ista.ac.at/record/2270
arXiv: 1108.5248

Kolmogorov, V. (2013). Reweighted message passing revisited. IST Austria.
LibreCat: https://research-explorer.ista.ac.at/record/2273

Gridchyn, I., &; Kolmogorov, V. (2013). Potts model, parametric maxflow and k-submodular functions (pp. 2320–2327). Presented at the ICCV: International Conference on Computer Vision, Sydney, Australia: IEEE.https://doi.org/10.1109/ICCV.2013.288 
LibreCat: https://research-explorer.ista.ac.at/record/2276
DOI: 10.1109/ICCV.2013.288
arXiv: 1310.1771

Kolmogorov, V. (2013). The power of linear programming for finite-valued CSPs: A constructive characterization (Vol. 7965, pp. 625–636). Presented at the ICALP: Automata, Languages and Programming, Riga, Latvia: Springer.https://doi.org/10.1007/978-3-642-39206-1_53 
LibreCat: https://research-explorer.ista.ac.at/record/2518
DOI: 10.1007/978-3-642-39206-1_53
arXiv: 1207.7213

Kolmogorov, V., &; divný, S. (2013). The complexity of conservative valued CSPs. Journal of the ACM. ACM.https://doi.org/10.1145/2450142.2450146 
LibreCat: https://research-explorer.ista.ac.at/record/2828
DOI: 10.1145/2450142.2450146
arXiv: 1110.2809

Chen, C., Kolmogorov, V., Yan, Z., Metaxas, D., &; Lampert, C. (2013). Computing the M most probable modes of a graphical model (Vol. 31, pp. 161–169). Presented at the  AISTATS: Conference on Uncertainty in Artificial Intelligence, Scottsdale, AZ, United States: JMLR.
LibreCat: https://research-explorer.ista.ac.at/record/2901

Takhanov, R., &; Kolmogorov, V. (2013). Inference algorithms for pattern-based CRFs on sequence data. In ICML’13 Proceedings of the 30th International Conference on International (Vol. 28, pp. 145–153). Atlanta, GA, USA: ML Research Press.
LibreCat: https://research-explorer.ista.ac.at/record/2272

Dziembowski, S., Faust, S., Kolmogorov, V., &; Pietrzak, K. Z. (2013). Proofs of Space. IST Austria.
LibreCat: https://research-explorer.ista.ac.at/record/2274

Huber, A., &; Kolmogorov, V. (2012). Towards minimizing k-submodular functions (Vol. 7422, pp. 451–462). Presented at the ISCO: International Symposium on Combinatorial Optimization, Athens, Greece: Springer.https://doi.org/10.1007/978-3-642-32147-4_40 
LibreCat: https://research-explorer.ista.ac.at/record/2930
DOI: 10.1007/978-3-642-32147-4_40

Kolmogorov, V., &; Schoenemann, T. (2012). Generalized sequential tree-reweighted message passing. arXiv. ArXiv.
LibreCat: https://research-explorer.ista.ac.at/record/2928
arXiv: 1205.6352