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118 Publications
2024 | Conference Paper | IST-REx-ID: 15011 | 
Kurtic, Eldar, et al. “How to Prune Your Language Model: Recovering Accuracy on the ‘Sparsity May Cry’ Benchmark.” Proceedings of Machine Learning Research, vol. 234, ML Research Press, 2024, pp. 542–53.
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2023 | 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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2023 | 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 | Conference Paper | IST-REx-ID: 13053 |
Peste, Elena-Alexandra, et al. “CrAM: A Compression-Aware Minimizer.” 11th International Conference on Learning Representations .
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2023 | 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 | 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 | Thesis | IST-REx-ID: 13074 |
Peste, Elena-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 | 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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2023 | 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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2023 | Conference Paper | IST-REx-ID: 14459 |
Shevchenko, Aleksandr, 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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2023 | 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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2023 | Conference Paper | IST-REx-ID: 14458 |
Frantar, Elias, and Dan-Adrian Alistarh. “SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 10323–37.
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2023 | Journal Article | IST-REx-ID: 14364 |
Alistarh, Dan-Adrian, et al. “Why Extension-Based Proofs Fail.” SIAM Journal on Computing, vol. 52, no. 4, Society for Industrial and Applied Mathematics, 2023, pp. 913–44, doi:10.1137/20M1375851.
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2023 | 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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2023 | 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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2023 | Conference Paper | IST-REx-ID: 14260 |
Koval, Nikita, et al. “Lincheck: A Practical Framework for Testing Concurrent Data Structures on JVM.” 35th International Conference on Computer Aided Verification , vol. 13964, Springer Nature, 2023, pp. 156–69, doi:10.1007/978-3-031-37706-8_8.
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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 | 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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2022 | Conference Paper | IST-REx-ID: 11184 |
Alistarh, Dan-Adrian, et al. “Fast Graphical Population Protocols.” 25th International Conference on Principles of Distributed Systems, edited by Quentin Bramas et al., vol. 217, 14, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, doi:10.4230/LIPIcs.OPODIS.2021.14.
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2022 | Conference Paper | IST-REx-ID: 11183 |
Nikabadi, Amir, and Janne Korhonen. “Beyond Distributed Subgraph Detection: Induced Subgraphs, Multicolored Problems and Graph Parameters.” 25th International Conference on Principles of Distributed Systems, edited by Quentin Bramas et al., vol. 217, 15, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, doi:10.4230/LIPIcs.OPODIS.2021.15.
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2022 | Journal Article | IST-REx-ID: 11420 |
Shevchenko, Aleksandr, et al. “Mean-Field Analysis of Piecewise Linear Solutions for Wide ReLU Networks.” Journal of Machine Learning Research, vol. 23, no. 130, Journal of Machine Learning Research, 2022, pp. 1–55.
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2022 | 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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2022 | Conference Paper | IST-REx-ID: 12780 |
Markov, Ilia, et al. “CGX: Adaptive System Support for Communication-Efficient Deep Learning.” Proceedings of the 23rd ACM/IFIP International Middleware Conference, Association for Computing Machinery, 2022, pp. 241–54, doi:10.1145/3528535.3565248.
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2022 | 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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2022 | Conference Paper | IST-REx-ID: 11181 |
Brown, Trevor A., et al. “PathCAS: An Efficient Middle Ground for Concurrent Search Data Structures.” Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Association for Computing Machinery, 2022, pp. 385–99, doi:10.1145/3503221.3508410.
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2022 | Conference Paper | IST-REx-ID: 11180 |
Postnikova, Anastasiia, et al. “Multi-Queues Can Be State-of-the-Art Priority Schedulers.” Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Association for Computing Machinery, 2022, pp. 353–67, doi:10.1145/3503221.3508432.
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2022 | Research Data Reference | IST-REx-ID: 13076 |
Postnikova, Anastasiia, et al. Multi-Queues Can Be State-of-the-Art Priority Schedulers. Zenodo, 2022, doi:10.5281/ZENODO.5733408.
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2022 | 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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2022 | Conference Paper | IST-REx-ID: 12299 |
Iofinova, Eugenia B., et al. “How Well Do Sparse ImageNet Models Transfer?” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 12256–66, doi:10.1109/cvpr52688.2022.01195.
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2021 | Journal Article | IST-REx-ID: 10180 |
Hoefler, Torsten, et al. “Sparsity in Deep Learning: Pruning and Growth for Efficient Inference and Training in Neural Networks.” Journal of Machine Learning Research, vol. 22, no. 241, Journal of Machine Learning Research, 2021, pp. 1–124.
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2021 | Conference Paper | IST-REx-ID: 10218 |
Alistarh, Dan-Adrian, et al. “Brief Announcement: Fast Graphical Population Protocols.” 35th International Symposium on Distributed Computing, vol. 209, 43, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021, doi:10.4230/LIPIcs.DISC.2021.43.
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2021 | Conference Paper | IST-REx-ID: 10217 |
Alistarh, Dan-Adrian, et al. “Lower Bounds for Shared-Memory Leader Election under Bounded Write Contention.” 35th International Symposium on Distributed Computing, vol. 209, 4, Schloss Dagstuhl - Leibniz Zentrum für Informatik, 2021, doi:10.4230/LIPIcs.DISC.2021.4.
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2021 | Conference Paper | IST-REx-ID: 10216 |
Chatterjee, Bapi, et al. “Brief Announcement: Non-Blocking Dynamic Unbounded Graphs with Worst-Case Amortized Bounds.” 35th International Symposium on Distributed Computing, vol. 209, 52, Schloss Dagstuhl - Leibniz Zentrum für Informatik, 2021, doi:10.4230/LIPIcs.DISC.2021.52.
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2021 | Conference Paper | IST-REx-ID: 10219 |
Korhonen, Janne, et al. “Brief Announcement: Sinkless Orientation Is Hard Also in the Supported LOCAL Model.” 35th International Symposium on Distributed Computing, vol. 209, 58, Schloss Dagstuhl - Leibniz Zentrum für Informatik, 2021, doi:10.4230/LIPIcs.DISC.2021.58.
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2021 | Conference Paper | IST-REx-ID: 10853 |
Fedorov, Alexander, et al. “A Scalable Concurrent Algorithm for Dynamic Connectivity.” Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures, Association for Computing Machinery, 2021, pp. 208–20, doi:10.1145/3409964.3461810.
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2021 | Conference Paper | IST-REx-ID: 11436 |
Kungurtsev, Vyacheslav, et al. “Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees.” 35th AAAI Conference on Artificial Intelligence, AAAI 2021, vol. 35, no. 9B, AAAI Press, 2021, pp. 8209–16.
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2021 | Conference Paper | IST-REx-ID: 11452 |
Alimisis, Foivos, et al. “Distributed Principal Component Analysis with Limited Communication.” Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, vol. 4, Neural Information Processing Systems Foundation, 2021, pp. 2823–34.
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2021 | Conference Paper | IST-REx-ID: 11463 |
Frantar, Elias, et al. “M-FAC: Efficient Matrix-Free Approximations of Second-Order Information.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 14873–86.
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2021 | Conference Paper | IST-REx-ID: 11464 |
Alistarh, Dan-Adrian, and Janne Korhonen. “Towards Tight Communication Lower Bounds for Distributed Optimisation.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 7254–66.
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2021 | Conference Paper | IST-REx-ID: 9543 |
Davies, Peter, et al. “New Bounds for Distributed Mean Estimation and Variance Reduction.” 9th International Conference on Learning Representations, 2021.
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2021 | Conference Paper | IST-REx-ID: 9620 |
Alistarh, Dan-Adrian, and Peter Davies. “Collecting Coupons Is Faster with Friends.” Structural Information and Communication Complexity, vol. 12810, Springer Nature, 2021, pp. 3–12, doi:10.1007/978-3-030-79527-6_1.
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2021 | Conference Paper | IST-REx-ID: 9823 |
Alistarh, Dan-Adrian, et al. “Wait-Free Approximate Agreement on Graphs.” Structural Information and Communication Complexity, vol. 12810, Springer Nature, 2021, pp. 87–105, doi:10.1007/978-3-030-79527-6_6.
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2021 | Conference Paper | IST-REx-ID: 11458 |
Peste, Elena-Alexandra, et al. “AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 8557–70.
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2021 | Conference Paper | IST-REx-ID: 13147 |
Alimisis, Foivos, et al. “Communication-Efficient Distributed Optimization with Quantized Preconditioners.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 196–206.
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2021 | Journal Article | IST-REx-ID: 8723 |
Li, Shigang, et al. “Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging.” IEEE Transactions on Parallel and Distributed Systems, vol. 32, no. 7, 9271898, IEEE, 2021, doi:10.1109/TPDS.2020.3040606.
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2021 | Journal Article | IST-REx-ID: 9827 |
Chatterjee, Bapi, et al. “Concurrent Linearizable Nearest Neighbour Search in LockFree-KD-Tree.” Theoretical Computer Science, vol. 886, Elsevier, 2021, pp. 27–48, doi:10.1016/j.tcs.2021.06.041.
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2021 | Conference Paper | IST-REx-ID: 9951
Alistarh, Dan-Adrian, et al. “Comparison Dynamics in Population Protocols.” Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2021, pp. 55–65, doi:10.1145/3465084.3467915.
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2021 | Conference Paper | IST-REx-ID: 9935 |
Czumaj, Artur, et al. “Improved Deterministic (Δ+1) Coloring in Low-Space MPC.” Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2021, pp. 469–479, doi:10.1145/3465084.3467937.
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2021 | Conference Paper | IST-REx-ID: 9933 |
Czumaj, Artur, et al. “Component Stability in Low-Space Massively Parallel Computation.” Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2021, pp. 481–491, doi:10.1145/3465084.3467903.
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2021 | Conference Paper | IST-REx-ID: 10432 |
Nadiradze, Giorgi, et al. “Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 10, 2021, pp. 9037–45.
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