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151 Publications
2020 | Published | Conference Paper | IST-REx-ID: 7636 | 
Brown TA, Prokopec A, Alistarh D-A. Non-blocking interpolation search trees with doubly-logarithmic running time. In: Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. Association for Computing Machinery; 2020:276-291. doi:10.1145/3332466.3374542
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2020 | Published | Conference Paper | IST-REx-ID: 15086 |
Faghri F, Tabrizian I, Markov I, Alistarh D-A, Roy D, Ramezani-Kebrya A. Adaptive gradient quantization for data-parallel SGD. In: Advances in Neural Information Processing Systems. Vol 33. Neural Information Processing Systems Foundation; 2020.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 15077 |
Alistarh, Dan-Adrian, Dynamic averaging load balancing on cycles. 47th International Colloquium on Automata, Languages, and Programming 168. 2020
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 7213 |
Bhatia, Sumit, A persistent homology perspective to the link prediction problem. Complex Networks and their applications VIII 881. 2020
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2020 | Published | Conference Paper | IST-REx-ID: 7803 |
Czumaj A, Davies P, Parter M. Simple, deterministic, constant-round coloring in the congested clique. In: Proceedings of the 2020 ACM Symposium on Principles of Distributed Computing. Association for Computing Machinery; 2020:309-318. doi:10.1145/3382734.3405751
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 7802 |
Czumaj A, Davies P, Parter M. Graph sparsification for derandomizing massively parallel computation with low space. In: Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2020). Association for Computing Machinery; 2020:175-185. doi:10.1145/3350755.3400282
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 7272 |
Arbel-Raviv M, Brown TA, Morrison A. Getting to the root of concurrent binary search tree performance. In: Proceedings of the 2018 USENIX Annual Technical Conference. USENIX Association; 2020:295-306.
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2020 | Published | Conference Paper | IST-REx-ID: 9632 |
Singh SP, Alistarh D-A. WoodFisher: Efficient second-order approximation for neural network compression. In: Vol 33. Neural Information Processing Systems Foundation; 2020:18098-18109.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 9631 |
Aksenov V, Alistarh D-A, Korhonen J. Scalable belief propagation via relaxed scheduling. In: Vol 33. Neural Information Processing Systems Foundation; 2020:22361-22372.
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| arXiv
2020 | Published | Journal Article | IST-REx-ID: 7224 |
Rybicki J, Abrego N, Ovaskainen O. Habitat fragmentation and species diversity in competitive communities. Ecology Letters. 2020;23(3):506-517. doi:10.1111/ele.13450
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| PubMed | Europe PMC
2020 | Published | Conference Paper | IST-REx-ID: 7635 |
Koval N, Sokolova M, Fedorov A, Alistarh D-A, Tsitelov D. Testing concurrency on the JVM with Lincheck. In: Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. Association for Computing Machinery; 2020:423-424. doi:10.1145/3332466.3374503
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2020 | Published | Conference Paper | IST-REx-ID: 8724 |
Konstantinov NH, Frantar E, Alistarh D-A, Lampert C. On the sample complexity of adversarial multi-source PAC learning. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ML Research Press; 2020:5416-5425.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 9198 |
Shevchenko A, Mondelli M. Landscape connectivity and dropout stability of SGD solutions for over-parameterized neural networks. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ML Research Press; 2020:8773-8784.
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 5947 |
Chatterjee B, Peri S, Sa M, Singhal N. A simple and practical concurrent non-blocking unbounded graph with linearizable reachability queries. In: ACM International Conference Proceeding Series. ACM; 2019:168-177. doi:10.1145/3288599.3288617
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 7437 |
Yu C, Tang H, Renggli C, et al. Distributed learning over unreliable networks. In: 36th International Conference on Machine Learning, ICML 2019. Vol 2019-June. IMLS; 2019:12481-12512.
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 7122
Khirirat S, Johansson M, Alistarh D-A. Gradient compression for communication-limited convex optimization. In: 2018 IEEE Conference on Decision and Control. IEEE; 2019. doi:10.1109/cdc.2018.8619625
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2019 | Published | Journal Article | IST-REx-ID: 7214 |
Aganezov S, Zban I, Aksenov V, Alexeev N, Schatz MC. Recovering rearranged cancer chromosomes from karyotype graphs. BMC Bioinformatics. 2019;20. doi:10.1186/s12859-019-3208-4
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2019 | Published | Conference Paper | IST-REx-ID: 7228
Koval N, Alistarh D-A, Elizarov R. Scalable FIFO channels for programming via communicating sequential processes. In: 25th Anniversary of Euro-Par. Vol 11725. Springer Nature; 2019:317-333. doi:10.1007/978-3-030-29400-7_23
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2019 | Published | Conference Poster | IST-REx-ID: 6485
Koval N, Alistarh D-A, Elizarov R. Lock-Free Channels for Programming via Communicating Sequential Processes. ACM; 2019:417-418. doi:10.1145/3293883.3297000
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2019 | Published | Conference Paper | IST-REx-ID: 7542 |
Wendler C, Alistarh D-A, Püschel M. Powerset convolutional neural networks. In: Vol 32. Neural Information Processing Systems Foundation; 2019:927-938.
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