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162 Publications
2020 | Published | Journal Article | IST-REx-ID: 8268 | 
N. M. Gurel et al., “Compressive sensing using iterative hard thresholding with low precision data representation: Theory and applications,” IEEE Transactions on Signal Processing, vol. 68. IEEE, pp. 4268–4282, 2020.
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2020 | Published | Conference Paper | IST-REx-ID: 7803 |
A. Czumaj, P. Davies, and M. Parter, “Simple, deterministic, constant-round coloring in the congested clique,” in Proceedings of the 2020 ACM Symposium on Principles of Distributed Computing, Salerno, Italy, 2020, pp. 309–318.
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2020 | Published | Conference Paper | IST-REx-ID: 8383
D.-A. Alistarh, J. Aspnes, F. Ellen, R. Gelashvili, and L. Zhu, “Brief Announcement: Why Extension-Based Proofs Fail,” in Proceedings of the 39th Symposium on Principles of Distributed Computing, Virtual, Italy, 2020, pp. 54–56.
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2020 | Published | Conference Paper | IST-REx-ID: 9198 |
A. Shevchenko and M. Mondelli, “Landscape connectivity and dropout stability of SGD solutions for over-parameterized neural networks,” in Proceedings of the 37th International Conference on Machine Learning, 2020, vol. 119, pp. 8773–8784.
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2019 | Published | Conference Paper | IST-REx-ID: 5947 |
B. Chatterjee, S. Peri, M. Sa, and N. Singhal, “A simple and practical concurrent non-blocking unbounded graph with linearizable reachability queries,” in ACM International Conference Proceeding Series, Bangalore, India, 2019, pp. 168–177.
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 7437 |
C. Yu et al., “Distributed learning over unreliable networks,” in 36th International Conference on Machine Learning, ICML 2019, Long Beach, CA, United States, 2019, vol. 2019–June, pp. 12481–12512.
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| arXiv
2019 | Published | Journal Article | IST-REx-ID: 7214 |
S. Aganezov, I. Zban, V. Aksenov, N. Alexeev, and M. C. Schatz, “Recovering rearranged cancer chromosomes from karyotype graphs,” BMC Bioinformatics, vol. 20. BMC, 2019.
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2019 | Published | Conference Paper | IST-REx-ID: 7542 |
C. Wendler, D.-A. Alistarh, and M. Püschel, “Powerset convolutional neural networks,” presented at the NIPS: Conference on Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32, pp. 927–938.
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 6933 |
K. Censor-Hillel, M. Dory, J. Korhonen, and D. Leitersdorf, “Fast approximate shortest paths in the congested clique,” in Proceedings of the 2019 ACM Symposium on Principles of Distributed Computin, Toronto, ON, Canada, 2019, pp. 74–83.
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| arXiv
2019 | Published | Journal Article | IST-REx-ID: 6972 |
C. Lenzen and J. Rybicki, “Self-stabilising Byzantine clock synchronisation is almost as easy as consensus,” Journal of the ACM, vol. 66, no. 5. ACM, 2019.
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| arXiv
2019 | Published | Journal Article | IST-REx-ID: 6936 |
O. Ovaskainen, J. Rybicki, and N. Abrego, “What can observational data reveal about metacommunity processes?,” Ecography, vol. 42, no. 11. Wiley, pp. 1877–1886, 2019.
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2019 | Published | Conference Paper | IST-REx-ID: 6935 |
K.-T. Foerster, J. Korhonen, J. Rybicki, and S. Schmid, “Does preprocessing help under congestion?,” in Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, Toronto, ON, Canada, 2019, pp. 259–261.
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 6673 |
D.-A. Alistarh, G. Nadiradze, and N. Koval, “Efficiency guarantees for parallel incremental algorithms under relaxed schedulers,” in 31st ACM Symposium on Parallelism in Algorithms and Architectures, Phoenix, AZ, United States, 2019, pp. 145–154.
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 6676 |
D.-A. Alistarh, J. Aspnes, F. Ellen, R. Gelashvili, and L. Zhu, “Why extension-based proofs fail,” in Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, Phoenix, AZ, United States, 2019, pp. 986–996.
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| arXiv
2019 | Published | Journal Article | IST-REx-ID: 6759 |
V. Jelínek and M. Töpfer, “On grounded L-graphs and their relatives,” Electronic Journal of Combinatorics, vol. 26, no. 3. Electronic Journal of Combinatorics, 2019.
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 6931 |
T. Nowak and J. Rybicki, “Byzantine approximate agreement on graphs,” in 33rd International Symposium on Distributed Computing, Budapest, Hungary, 2019, vol. 146, p. 29:1--29:17.
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 7201 |
C. Renggli, S. Ashkboos, M. Aghagolzadeh, D.-A. Alistarh, and T. Hoefler, “SparCML: High-performance sparse communication for machine learning,” in International Conference for High Performance Computing, Networking, Storage and Analysis, SC, Denver, CO, Unites States, 2019.
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