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479 Publications
2015 | Published | Conference Paper | IST-REx-ID: 777
D.-A. Alistarh, J. Iglesias, and M. Vojnović, “Streaming min-max hypergraph partitioning,” presented at the NIPS: Neural Information Processing Systems, 2015, vol. 2015–January, pp. 1900–1908.
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2015 | Published | Conference Paper | IST-REx-ID: 778 |
D.-A. Alistarh, J. Kopinsky, P. Kuznetsov, S. Ravi, and N. Shavit, “Inherent limitations of hybrid transactional memory,” presented at the DISC: Distributed Computing, 2015, vol. 9363, pp. 185–199.
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| arXiv
2015 | Published | Conference Paper | IST-REx-ID: 779
D.-A. Alistarh, A. Matveev, W. Leiserson, and N. Shavit, “ThreadScan: Automatic and scalable memory reclamation,” presented at the SPAA: Symposium on Parallelism in Algorithms and Architectures, 2015, vol. 2015–June, pp. 123–132.
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| DOI
2015 | Published | Conference Paper | IST-REx-ID: 780 |
D.-A. Alistarh and R. Gelashvili, “Polylogarithmic-time leader election in population protocols,” presented at the ICALP: International Colloquium on Automota, Languages and Programming, 2015, vol. 9135, pp. 479–491.
[Preprint]
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| arXiv
2015 | Published | Conference Paper | IST-REx-ID: 783 |
D.-A. Alistarh, R. Gelashvili, and A. Vladu, “How to elect a leader faster than a tournament,” presented at the PODC: Principles of Distributed Computing, 2015, vol. 2015–July, pp. 365–374.
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2015 | Published | Journal Article | IST-REx-ID: 815
F. K. Schur, R. Dick, W. Hagen, V. Vogt, and J. Briggs, “The structure of immature virus like Rous sarcoma virus gag particles reveals a structural role for the p10 domain in assembly,” Journal of Virology, vol. 89, no. 20. ASM, pp. 10294–10302, 2015.
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| DOI
| PubMed | Europe PMC
2015 | Published | Journal Article | IST-REx-ID: 18371
Y. Aflalo, A. M. Bronstein, and R. Kimmel, “On convex relaxation of graph isomorphism,” Proceedings of the National Academy of Sciences, vol. 112, no. 10. National Academy of Sciences, pp. 2942–2947, 2015.
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| DOI
| PubMed | Europe PMC
2015 | Published | Conference Paper | IST-REx-ID: 1858 |
C. Lampert, “Predicting the future behavior of a time-varying probability distribution,” presented at the CVPR: Computer Vision and Pattern Recognition, Boston, MA, United States, 2015, pp. 942–950.
[Preprint]
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| arXiv