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144 Publications


2022 | Published | Conference Paper | IST-REx-ID: 11184 | OA
Alistarh D-A, Gelashvili R, Rybicki J. 2022. Fast graphical population protocols. 25th International Conference on Principles of Distributed Systems. OPODIS, LIPIcs, vol. 217, 14.
[Published Version] View | Files available | DOI | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 11707 | OA
Balliu A, Hirvonen J, Melnyk D, Olivetti D, Rybicki J, Suomela J. 2022. Local mending. International Colloquium on Structural Information and Communication Complexity. SIROCCO: Structural Information and Communication ComplexityLNCS vol. 13298, 1–20.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 11844 | OA
Alistarh D-A, Rybicki J, Voitovych S. 2022. Near-optimal leader election in population protocols on graphs. Proceedings of the Annual ACM Symposium on Principles of Distributed Computing. PODC: Symposium on Principles of Distributed Computing, 246–256.
[Published Version] View | Files available | DOI | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 17059 | OA
Frantar E, Alistarh D-A. 2022. SPDY: Accurate pruning with speedup guarantees. 39th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 162, 6726–6743.
[Published Version] View | Files available | WoS
 

2022 | Published | Conference Paper | IST-REx-ID: 17087 | OA
Frantar E, Singh SP, Alistarh D-A. 2022. Optimal brain compression: A framework for accurate post-training quantization and pruning. 36th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, NeurIPS, vol. 35.
[Submitted Version] View | Files available | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 17088 | OA
Kurtic E, Campos D, Nguyen T, Frantar E, Kurtz M, Fineran B, Goin M, Alistarh D-A. 2022. The optimal BERT surgeon: Scalable and accurate second-order pruning for large language models. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. EMNLP: Conference on Empirical Methods in Natural Language Processing, 4163–4181.
[Published Version] View | Files available | DOI | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 12182 | OA
Pacut M, Parham M, Rybicki J, Schmid S, Suomela J, Tereshchenko A. 2022. Brief announcement: Temporal locality in online algorithms. 36th International Symposium on Distributed Computing. DISC: Symposium on Distributed Computing vol. 246, 52.
[Published Version] View | Files available | DOI
 

2022 | Published | Conference Paper | IST-REx-ID: 12780 | OA
Markov I, Ramezanikebrya H, Alistarh D-A. 2022. CGX: Adaptive system support for communication-efficient deep learning. Proceedings of the 23rd ACM/IFIP International Middleware Conference. Middleware: International Middleware Conference, 241–254.
[Published Version] View | Files available | DOI | arXiv
 

2022 | Research Data Reference | IST-REx-ID: 13076 | OA
Postnikova A, Koval N, Nadiradze G, Alistarh D-A. 2022. Multi-queues can be state-of-the-art priority schedulers, Zenodo, 10.5281/ZENODO.5733408.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 

2022 | Published | Journal Article | IST-REx-ID: 8286 | OA
Alistarh D-A, Nadiradze G, Sabour A. 2022. Dynamic averaging load balancing on cycles. Algorithmica. 84(4), 1007–1029.
[Published Version] View | Files available | DOI | WoS | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 12299 | OA
Iofinova EB, Krumes A, Kurtz M, Alistarh D-A. 2022. How well do sparse ImageNet models transfer? 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Computer Vision and Pattern Recognition, 12256–12266.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 11420 | OA
Shevchenko A, Kungurtsev V, Mondelli M. 2022. Mean-field analysis of piecewise linear solutions for wide ReLU networks. Journal of Machine Learning Research. 23(130), 1–55.
[Published Version] View | Files available | arXiv
 

2021 | Published | Thesis | IST-REx-ID: 10429 | OA
Nadiradze G. 2021. On achieving scalability through relaxation. Institute of Science and Technology Austria.
[Published Version] View | Files available | DOI
 

2021 | Published | Conference Paper | IST-REx-ID: 10435 | OA
Nadiradze G, Sabour A, Davies P, Li S, Alistarh D-A. 2021. Asynchronous decentralized SGD with quantized and local updates. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 10432 | OA
Nadiradze G, Markov I, Chatterjee B, Kungurtsev V, Alistarh D-A. 2021. Elastic consistency: A practical consistency model for distributed stochastic gradient descent. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI: Association for the Advancement of Artificial Intelligence vol. 35, 9037–9045.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 10180 | OA
Hoefler T, Alistarh D-A, Ben-Nun T, Dryden N, Peste E-A. 2021. Sparsity in deep learning: Pruning and growth for efficient inference and training in neural networks. Journal of Machine Learning Research. 22(241), 1–124.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 10216 | OA
Chatterjee B, Peri S, Sa M. 2021. Brief announcement: Non-blocking dynamic unbounded graphs with worst-case amortized bounds. 35th International Symposium on Distributed Computing. DISC: Distributed Computing, LIPIcs, vol. 209, 52.
[Published Version] View | Files available | DOI | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 10217 | OA
Alistarh D-A, Gelashvili R, Nadiradze G. 2021. Lower bounds for shared-memory leader election under bounded write contention. 35th International Symposium on Distributed Computing. DISC: Distributed Computing, LIPIcs, vol. 209, 4.
[Published Version] View | Files available | DOI
 

2021 | Published | Conference Paper | IST-REx-ID: 10218 | OA
Alistarh D-A, Gelashvili R, Rybicki J. 2021. Brief announcement: Fast graphical population protocols. 35th International Symposium on Distributed Computing. DISC: Distributed Computing , LIPIcs, vol. 209, 43.
[Published Version] View | Files available | DOI | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 10219 | OA
Korhonen J, Paz A, Rybicki J, Schmid S, Suomela J. 2021. Brief announcement: Sinkless orientation is hard also in the supported LOCAL model. 35th International Symposium on Distributed Computing. DISC: Distributed Computing , LIPIcs, vol. 209, 58.
[Published Version] View | Files available | DOI | arXiv
 

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