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164 Publications
2023 |
Published |
Conference Paper |
IST-REx-ID: 14460 |
Nikdan, Mahdi, et al. “SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 26215–27.
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14461 |
Markov, Ilia, et al. “Quantized Distributed Training of Large Models with Convergence Guarantees.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 24020–44.
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| arXiv
2023 |
Published |
Journal Article |
IST-REx-ID: 12330 |
Aksenov, Vitalii, et al. “The Splay-List: A Distribution-Adaptive Concurrent Skip-List.” Distributed Computing, vol. 36, Springer Nature, 2023, pp. 395–418, doi:10.1007/s00446-022-00441-x.
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| arXiv
2023 |
Published |
Journal Article |
IST-REx-ID: 12566 |
Alistarh, Dan-Adrian, et al. “Wait-Free Approximate Agreement on Graphs.” Theoretical Computer Science, vol. 948, no. 2, 113733, Elsevier, 2023, doi:10.1016/j.tcs.2023.113733.
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2023 |
Published |
Conference Paper |
IST-REx-ID: 12735 |
Koval, Nikita, et al. “Fast and Scalable Channels in Kotlin Coroutines.” Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Association for Computing Machinery, 2023, pp. 107–18, doi:10.1145/3572848.3577481.
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| arXiv
2023 |
Published |
Conference Poster |
IST-REx-ID: 12736 |
Aksenov, Vitaly, et al. “Unexpected Scaling in Path Copying Trees.” Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Association for Computing Machinery, 2023, pp. 438–40, doi:10.1145/3572848.3577512.
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2023 |
Published |
Conference Paper |
IST-REx-ID: 13053 |
Krumes, Alexandra, et al. “CrAM: A Compression-Aware Minimizer.” 11th International Conference on Learning Representations , OpenReview, 2023.
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| arXiv
2023 |
Published |
Thesis | PhD |
IST-REx-ID: 13074 |
Krumes, Alexandra. Efficiency and Generalization of Sparse Neural Networks. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:13074.
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2023 |
Published |
Journal Article |
IST-REx-ID: 13179 |
Koval, Nikita, et al. “CQS: A Formally-Verified Framework for Fair and Abortable Synchronization.” Proceedings of the ACM on Programming Languages, vol. 7, 116, Association for Computing Machinery , 2023, doi:10.1145/3591230.
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2023 |
Published |
Conference Paper |
IST-REx-ID: 13262 |
Fedorov, Alexander, et al. “Provably-Efficient and Internally-Deterministic Parallel Union-Find.” Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures, Association for Computing Machinery, 2023, pp. 261–71, doi:10.1145/3558481.3591082.
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| arXiv
2023 |
Published |
Book Chapter |
IST-REx-ID: 19983 |
Balliu, Alkida, et al. “Sinkless Orientation Made Simple.” Symposium on Simplicity in Algorithms, 2023 Society for Industrial and Applied Mathematics, 2023, pp. 175–91, doi:10.1137/1.9781611977585.ch17.
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14771 |
Iofinova, Eugenia B., et al. “Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures.” 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2023, pp. 24364–73, doi:10.1109/cvpr52729.2023.02334.
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| arXiv
2023 |
Published |
Journal Article |
IST-REx-ID: 14815 |
Beznosikov, Aleksandr, et al. “On Biased Compression for Distributed Learning.” Journal of Machine Learning Research, vol. 24, Journal of Machine Learning Research, 2023, pp. 1–50.
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| arXiv
2023 |
Research Data Reference |
IST-REx-ID: 14995 |
Koval, Nikita, et al. Lincheck: A Practical Framework for Testing Concurrent Data Structures on JVM. Zenodo, 2023, doi:10.5281/ZENODO.7877757.
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2023 |
Published |
Conference Paper |
IST-REx-ID: 15363 |
Safaryan, Mher, et al. “Knowledge Distillation Performs Partial Variance Reduction.” 36th Conference on Neural Information Processing Systems, vol. 36, 2023.
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 17378 |
Frantar, Elias, et al. “OPTQ: Accurate Post-Training Quantization for Generative Pre-Trained Transformers.” 11th International Conference on Learning Representations , International Conference on Learning Representations, 2023.
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2023 |
Published |
Conference Paper |
IST-REx-ID: 14459 |
Shevchenko, Alexander, et al. “Fundamental Limits of Two-Layer Autoencoders, and Achieving Them with Gradient Methods.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 31151–209.
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| arXiv
2022 |
Published |
Conference Paper |
IST-REx-ID: 11707 |
Balliu, Alkida, et al. “Local Mending.” International Colloquium on Structural Information and Communication Complexity, edited by Merav Parter, vol. 13298, Springer Nature, 2022, pp. 1–20, doi:10.1007/978-3-031-09993-9_1.
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| arXiv
2022 |
Published |
Conference Paper |
IST-REx-ID: 11844 |
Alistarh, Dan-Adrian, et al. “Near-Optimal Leader Election in Population Protocols on Graphs.” Proceedings of the Annual ACM Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2022, pp. 246–56, doi:10.1145/3519270.3538435.
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| arXiv
2022 |
Published |
Conference Paper |
IST-REx-ID: 12182 |
Pacut, Maciej, et al. “Brief Announcement: Temporal Locality in Online Algorithms.” 36th International Symposium on Distributed Computing, vol. 246, 52, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, doi:10.4230/LIPIcs.DISC.2022.52.
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