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121 Publications

2023 | Journal Article | IST-REx-ID: 12566 | OA
Alistarh D-A, Ellen F, Rybicki J. 2023. Wait-free approximate agreement on graphs. Theoretical Computer Science. 948(2), 113733.
[Published Version] View | Files available | DOI | WoS
 
2023 | Thesis | IST-REx-ID: 13074 | OA
Peste E-A. 2023. Efficiency and generalization of sparse neural networks. Institute of Science and Technology Austria.
[Published Version] View | Files available | DOI
 
2023 | Journal Article | IST-REx-ID: 12330 | OA
Aksenov V, Alistarh D-A, Drozdova A, Mohtashami A. 2023. The splay-list: A distribution-adaptive concurrent skip-list. Distributed Computing. 36, 395–418.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2023 | Conference Paper | IST-REx-ID: 14461 | OA
Markov I, Vladu A, Guo Q, Alistarh D-A. 2023. Quantized distributed training of large models with convergence guarantees. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 24020–24044.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2023 | Conference Paper | IST-REx-ID: 14459 | OA
Shevchenko A, Kögler K, Hassani H, Mondelli M. 2023. Fundamental limits of two-layer autoencoders, and achieving them with gradient methods. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 31151–31209.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2023 | Conference Paper | IST-REx-ID: 14460 | OA
Nikdan M, Pegolotti T, Iofinova EB, Kurtic E, Alistarh D-A. 2023. SparseProp: Efficient sparse backpropagation for faster training of neural networks at the edge. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 26215–26227.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2023 | Conference Paper | IST-REx-ID: 14458 | OA
Frantar E, Alistarh D-A. 2023. SparseGPT: Massive language models can be accurately pruned in one-shot. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 10323–10337.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2023 | Journal Article | IST-REx-ID: 14364 | OA
Alistarh D-A, Aspnes J, Ellen F, Gelashvili R, Zhu L. 2023. Why extension-based proofs fail. SIAM Journal on Computing. 52(4), 913–944.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2023 | Conference Paper | IST-REx-ID: 14771 | OA
Iofinova EB, Peste E-A, Alistarh D-A. 2023. Bias in pruned vision models: In-depth analysis and countermeasures. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition, 24364–24373.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2023 | Journal Article | IST-REx-ID: 14815 | OA
Beznosikov A, Horvath S, Richtarik P, Safaryan M. 2023. On biased compression for distributed learning. Journal of Machine Learning Research. 24, 1–50.
[Published Version] View | Files available | WoS | arXiv
 
2023 | Conference Paper | IST-REx-ID: 14260 | OA
Koval N, Fedorov A, Sokolova M, Tsitelov D, Alistarh D-A. 2023. Lincheck: A practical framework for testing concurrent data structures on JVM. 35th International Conference on Computer Aided Verification . CAV: Computer Aided Verification, LNCS, vol. 13964, 156–169.
[Published Version] View | Files available | DOI
 
2023 | Research Data Reference | IST-REx-ID: 14995 | OA
Koval N, Fedorov A, Sokolova M, Tsitelov D, Alistarh D-A. 2023. Lincheck: A practical framework for testing concurrent data structures on JVM, Zenodo, 10.5281/ZENODO.7877757.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
2023 | Conference Paper | IST-REx-ID: 13262 | OA
Fedorov A, Hashemi D, Nadiradze G, Alistarh D-A. 2023. Provably-efficient and internally-deterministic parallel Union-Find. Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures. SPAA: Symposium on Parallelism in Algorithms and Architectures, 261–271.
[Published Version] View | Files available | DOI | arXiv
 
2022 | 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 | Conference Paper | IST-REx-ID: 11183 | OA
Nikabadi A, Korhonen J. 2022. Beyond distributed subgraph detection: Induced subgraphs, multicolored problems and graph parameters. 25th International Conference on Principles of Distributed Systems. OPODIS, LIPIcs, vol. 217, 15.
[Published Version] View | Files available | DOI
 
2022 | 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
 
2022 | 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 | 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 | 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 | Conference Paper | IST-REx-ID: 11181 | OA
Brown TA, Sigouin W, Alistarh D-A. 2022. PathCAS: An efficient middle ground for concurrent search data structures. Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. PPoPP: Sympopsium on Principles and Practice of Parallel Programming, 385–399.
[Published Version] View | Files available | DOI | WoS
 

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