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6713 Publications

2024 | Published | Conference Paper | IST-REx-ID: 18070
Chatterjee, B., Kungurtsev, V., & Alistarh, D.-A. (2024). Federated SGD with local asynchrony. In Proceedings of the 44th International Conference on Distributed Computing Systems (pp. 857–868). Jersey City, NJ, United States: IEEE. https://doi.org/10.1109/ICDCS60910.2024.00084
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2024 | Published | Conference Paper | IST-REx-ID: 17329 | OA
Alistarh, D.-A., Chatterjee, K., Karrabi, M., & Lazarsfeld, J. M. (2024). Game dynamics and equilibrium computation in the population protocol model. In Proceedings of the 43rd Annual ACM Symposium on Principles of Distributed Computing (pp. 40–49). Nantes, France: Association for Computing Machinery. https://doi.org/10.1145/3662158.3662768
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2024 | Published | Conference Paper | IST-REx-ID: 18121 | OA
Moakhar, A. S., Iofinova, E. B., Frantar, E., & Alistarh, D.-A. (2024). SPADE: Sparsity-guided debugging for deep neural networks. In Proceedings of the 41st International Conference on Machine Learning (Vol. 235, pp. 45955–45987). Vienna, Austria: ML Research Press.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18976 | OA
Islamov, R., Safaryan, M., & Alistarh, D.-A. (2024). AsGrad: A sharp unified analysis of asynchronous-SGD algorithms. In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (Vol. 238, pp. 649–657). Valencia, Spain: ML Research Press.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18113 | OA
Egiazarian, V., Panferov, A., Kuznedelev, D., Frantar, E., Babenko, A., & Alistarh, D.-A. (2024). Extreme compression of large language models via additive quantization. In Proceedings of the 41st International Conference on Machine Learning (Vol. 235, pp. 12284–12303). Vienna, Austria: ML Research Press.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18975 | OA
Modoranu, I.-V., Kalinov, A., Kurtic, E., Frantar, E., & Alistarh, D.-A. (2024). Error feedback can accurately compress preconditioners. In 41st International Conference on Machine Learning (Vol. 235, pp. 35910–35933). Vienna, Austria: ML Research Press.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18977 | OA
Dettmers, T., Svirschevski, R. A., Egiazarian, V., Kuznedelev, D., Frantar, E., Ashkboos, S., … Alistarh, D.-A. (2024). SpQR: A sparse-quantized representation for near-lossless LLM weight compression. In 12th International Conference on Learning Representations. Vienna, Austria: OpenReview.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 17093 | OA
Zakerinia, H., Talaei, S., Nadiradze, G., & Alistarh, D.-A. (2024). Communication-efficient federated learning with data and client heterogeneity. In Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (Vol. 238, pp. 3448–3456). Valencia, Spain: ML Research Press.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18117 | OA
Nikdan, M., Tabesh, S., Crncevic, E., & Alistarh, D.-A. (2024). RoSA: Accurate parameter-efficient fine-tuning via robust adaptation. In Proceedings of the 41st International Conference on Machine Learning (Vol. 235, pp. 38187–38206). Vienna, Austria: ML Research Press.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
2024 | Published | Journal Article | IST-REx-ID: 15315 | OA
Brückner, D., & Broedersz, C. P. (2024). Learning dynamical models of single and collective cell migration: a review. Reports on Progress in Physics. IOP Publishing. https://doi.org/10.1088/1361-6633/ad36d2
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC | arXiv
 
2024 | Published | Journal Article | IST-REx-ID: 15250 | OA
Boytsov, D., Madej, G. M., Horn, G., Blaha, N., Köcher, T., Sitte, H. H., … Roblek, M. (2024). Orphan lysosomal solute carrier MFSD1 facilitates highly selective dipeptide transport. Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences. https://doi.org/10.1073/pnas.2319686121
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2024 | Published | Journal Article | IST-REx-ID: 15024 | OA
Robin, P. (2024). Correlation-induced viscous dissipation in concentrated electrolytes. Journal of Chemical Physics. AIP Publishing. https://doi.org/10.1063/5.0188215
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC | arXiv
 
2024 | Published | Journal Article | IST-REx-ID: 17892 | OA
Olmeda, F., & Rulands, S. (2024). Field theory of enzyme-substrate systems with restricted long-range interactions. Physical Review E. American Physical Society. https://doi.org/10.1103/PhysRevE.110.024404
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2024 | Published | Journal Article | IST-REx-ID: 17104 | OA
Krämer, J. C., Hannezo, E. B., Gompper, G., & Elgeti, J. (2024). Mechanically-driven stem cell separation in tissues caused by proliferating daughter cells. SciPost Physics. SciPost Foundation. https://doi.org/10.21468/scipostphys.16.4.097
[Published Version] View | Files available | DOI | WoS | arXiv
 
2024 | Published | Journal Article | IST-REx-ID: 18919
Baykusheva, D. R. (2024). Through the slopes of a light-induced phase transition. Nature Physics. Springer Nature. https://doi.org/10.1038/s41567-024-02401-7
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2024 | Research Data Reference | IST-REx-ID: 23022 | OA
Elgeti, J., & Krämer, J. (2024). Data for Mechanically-driven Stem Cell Separation in Tissues caused by Proliferating Daughter Cells. Zenodo. https://doi.org/10.5281/zenodo.8410956
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2024 | Published | Journal Article | IST-REx-ID: 17123 | OA
Brückner, D., & Tkačik, G. (2024). Information content and optimization of self-organized developmental systems. Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences. https://doi.org/10.1073/pnas.2322326121
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
2024 | Research Data Reference | IST-REx-ID: 23023 | OA
Corominas-Murtra, B.,   Moghe, P., Kickuth, A., Ichikawa, T., Iwatani, C., Tsukiyama, T., … Hiiragi, T. (2024). Data and software from: Temporal variability and cell mechanics control robustness in mammalian embryogenesis. Institute of Science and Technology Austria. https://doi.org/10.5281/zenodo.12819780
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2024 | Published | Conference Paper | IST-REx-ID: 18913 | OA
Giuliari, G., Sonnino, A., Frei, M., Streun, F., Kokoris Kogias, E., & Perrig, A. (2024). An empirical study of consensus protocols’ DoS resilience. In Proceedings of the 19th ACM Asia Conference on Computer and Communications Security (pp. 1345–1360). Singapore, Singapore: ACM. https://doi.org/10.1145/3634737.3656997
[Published Version] View | Files available | DOI | WoS
 
2024 | Published | Conference Paper | IST-REx-ID: 18957 | OA
Blackshear, S., Chursin, A., Danezis, G., Kichidis, A., Kokoris Kogias, E., Li, X., … Zhang, L. (2024). Sui Lutris: A blockchain combining broadcast and consensus. In Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security (pp. 2606–2620). Salt Lake City, UT, United States: ACM. https://doi.org/10.1145/3658644.3670286
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

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