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6951 Publications


2024 | Published | Conference Paper | IST-REx-ID: 17329 | OA
D.-A. Alistarh, K. Chatterjee, M. Karrabi, and J. M. Lazarsfeld, “Game dynamics and equilibrium computation in the population protocol model,” in Proceedings of the 43rd Annual ACM Symposium on Principles of Distributed Computing, Nantes, France, 2024, pp. 40–49.
[Published Version] View | Files available | DOI
 

2024 | Published | Conference Paper | IST-REx-ID: 18121 | OA
A. S. Moakhar, E. B. Iofinova, E. Frantar, and D.-A. Alistarh, “SPADE: Sparsity-guided debugging for deep neural networks,” in Proceedings of the 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 45955–45987.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18976 | OA
R. Islamov, M. Safaryan, and D.-A. Alistarh, “AsGrad: A sharp unified analysis of asynchronous-SGD algorithms,” in Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, Valencia, Spain, 2024, vol. 238, pp. 649–657.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18113 | OA
V. Egiazarian, A. Panferov, D. Kuznedelev, E. Frantar, A. Babenko, and D.-A. Alistarh, “Extreme compression of large language models via additive quantization,” in Proceedings of the 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 12284–12303.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18975 | OA
I.-V. Modoranu, A. Kalinov, E. Kurtic, E. Frantar, and D.-A. Alistarh, “Error feedback can accurately compress preconditioners,” in 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 35910–35933.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18977 | OA
T. Dettmers et al., “SpQR: A sparse-quantized representation for near-lossless LLM weight compression,” in 12th International Conference on Learning Representations, Vienna, Austria, 2024.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 17093 | OA
H. Zakerinia, S. Talaei, G. Nadiradze, and D.-A. Alistarh, “Communication-efficient federated learning with data and client heterogeneity,” in Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, Valencia, Spain, 2024, vol. 238, pp. 3448–3456.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18117 | OA
M. Nikdan, S. Tabesh, E. Crncevic, and D.-A. Alistarh, “RoSA: Accurate parameter-efficient fine-tuning via robust adaptation,” in Proceedings of the 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 38187–38206.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

2024 | Published | Journal Article | IST-REx-ID: 15315 | OA
D. Brückner and C. P. Broedersz, “Learning dynamical models of single and collective cell migration: a review,” Reports on Progress in Physics, vol. 87, no. 5. IOP Publishing, 2024.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC | arXiv
 

2024 | Published | Journal Article | IST-REx-ID: 15250 | OA
D. Boytsov et al., “Orphan lysosomal solute carrier MFSD1 facilitates highly selective dipeptide transport,” Proceedings of the National Academy of Sciences of the United States of America, vol. 121, no. 13. National Academy of Sciences, 2024.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

2024 | Published | Journal Article | IST-REx-ID: 15024 | OA
P. Robin, “Correlation-induced viscous dissipation in concentrated electrolytes,” Journal of Chemical Physics, vol. 160, no. 6. AIP Publishing, 2024.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC | arXiv
 

2024 | Published | Journal Article | IST-REx-ID: 17892 | OA
F. Olmeda and S. Rulands, “Field theory of enzyme-substrate systems with restricted long-range interactions,” Physical Review E, vol. 110, no. 2. American Physical Society, 2024.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

2024 | Published | Journal Article | IST-REx-ID: 17104 | OA
J. C. Krämer, E. B. Hannezo, G. Gompper, and J. Elgeti, “Mechanically-driven stem cell separation in tissues caused by proliferating daughter cells,” SciPost Physics, vol. 16, no. 4. SciPost Foundation, 2024.
[Published Version] View | Files available | DOI | WoS | arXiv
 

2024 | Published | Journal Article | IST-REx-ID: 18919
D. R. Baykusheva, “Through the slopes of a light-induced phase transition,” Nature Physics, vol. 20, no. 5. Springer Nature, pp. 684–685, 2024.
View | DOI | WoS
 

2024 | Research Data Reference | IST-REx-ID: 23022 | OA
J. Elgeti and J. Krämer, “Data for Mechanically-driven Stem Cell Separation in Tissues caused by Proliferating Daughter Cells.” Zenodo, 2024.
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2024 | Published | Journal Article | IST-REx-ID: 17123 | OA
D. Brückner and G. Tkačik, “Information content and optimization of self-organized developmental systems,” Proceedings of the National Academy of Sciences of the United States of America, vol. 121, no. 23. National Academy of Sciences, 2024.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

2024 | Published | Journal Article | IST-REx-ID: 17885 | OA
L. Kofler et al., “The novel ribosome biogenesis inhibitor usnic acid blocks nucleolar pre-60S maturation,” Nature Communications, vol. 15. Springer Nature, 2024.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 

2024 | Research Data Reference | IST-REx-ID: 23023 | OA
B. Corominas-Murtra et al., “Data and software from: Temporal variability and cell mechanics control robustness in mammalian embryogenesis.” Institute of Science and Technology Austria, 2024.
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2024 | Published | Conference Paper | IST-REx-ID: 18913 | OA
G. Giuliari, A. Sonnino, M. Frei, F. Streun, E. Kokoris Kogias, and A. Perrig, “An empirical study of consensus protocols’ DoS resilience,” in Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, Singapore, Singapore, 2024, pp. 1345–1360.
[Published Version] View | Files available | DOI | WoS
 

2024 | Published | Conference Paper | IST-REx-ID: 18957 | OA
S. Blackshear et al., “Sui Lutris: A blockchain combining broadcast and consensus,” in Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, Salt Lake City, UT, United States, 2024, pp. 2606–2620.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

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