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6951 Publications
2024 |
Published |
Conference Paper |
IST-REx-ID: 17329 |
Alistarh, Dan-Adrian, Krishnendu Chatterjee, Mehrdad Karrabi, and John 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, 40–49. Association for Computing Machinery, 2024. https://doi.org/10.1145/3662158.3662768.
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2024 |
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Conference Paper |
IST-REx-ID: 18121 |
Moakhar, Arshia Soltani, Eugenia B Iofinova, Elias Frantar, and Dan-Adrian Alistarh. “SPADE: Sparsity-Guided Debugging for Deep Neural Networks.” In Proceedings of the 41st International Conference on Machine Learning, 235:45955–87. ML Research Press, 2024.
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| arXiv
2024 |
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Conference Paper |
IST-REx-ID: 18976 |
Islamov, Rustem, Mher Safaryan, and Dan-Adrian Alistarh. “AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms.” In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, 238:649–57. ML Research Press, 2024.
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| arXiv
2024 |
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Conference Paper |
IST-REx-ID: 18113 |
Egiazarian, Vage, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, and Dan-Adrian Alistarh. “Extreme Compression of Large Language Models via Additive Quantization.” In Proceedings of the 41st International Conference on Machine Learning, 235:12284–303. ML Research Press, 2024.
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| arXiv
2024 |
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Conference Paper |
IST-REx-ID: 18975 |
Modoranu, Ionut-Vlad, Aleksei Kalinov, Eldar Kurtic, Elias Frantar, and Dan-Adrian Alistarh. “Error Feedback Can Accurately Compress Preconditioners.” In 41st International Conference on Machine Learning, 235:35910–33. ML Research Press, 2024.
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| arXiv
2024 |
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Conference Paper |
IST-REx-ID: 18977 |
Dettmers, Tim, Ruslan A. Svirschevski, Vage Egiazarian, Denis Kuznedelev, Elias Frantar, Saleh Ashkboos, Alexander Borzunov, Torsten Hoefler, and Dan-Adrian Alistarh. “SpQR: A Sparse-Quantized Representation for near-Lossless LLM Weight Compression.” In 12th International Conference on Learning Representations. OpenReview, 2024.
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| arXiv
2024 |
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Conference Paper |
IST-REx-ID: 17093 |
Zakerinia, Hossein, Shayan Talaei, Giorgi Nadiradze, and Dan-Adrian Alistarh. “Communication-Efficient Federated Learning with Data and Client Heterogeneity.” In Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, 238:3448–56. ML Research Press, 2024.
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| arXiv
2024 |
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Conference Paper |
IST-REx-ID: 18117 |
Nikdan, Mahdi, Soroush Tabesh, Elvir Crncevic, and Dan-Adrian Alistarh. “RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation.” In Proceedings of the 41st International Conference on Machine Learning, 235:38187–206. ML Research Press, 2024.
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| arXiv
2024 |
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Journal Article |
IST-REx-ID: 15315 |
Brückner, David, and Chase P. Broedersz. “Learning Dynamical Models of Single and Collective Cell Migration: A Review.” Reports on Progress in Physics. IOP Publishing, 2024. https://doi.org/10.1088/1361-6633/ad36d2.
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| arXiv
2024 |
Published |
Journal Article |
IST-REx-ID: 15250 |
Boytsov, Danila, Gregor M. Madej, Georg Horn, Nadine Blaha, Thomas Köcher, Harald H. Sitte, Daria E Siekhaus, Christine Ziegler, Walter Sandtner, and Marko Roblek. “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, 2024. https://doi.org/10.1073/pnas.2319686121.
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2024 |
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Journal Article |
IST-REx-ID: 15024 |
Robin, Paul. “Correlation-Induced Viscous Dissipation in Concentrated Electrolytes.” Journal of Chemical Physics. AIP Publishing, 2024. https://doi.org/10.1063/5.0188215.
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| arXiv
2024 |
Published |
Journal Article |
IST-REx-ID: 17892 |
Olmeda, Fabrizio, and Steffen Rulands. “Field Theory of Enzyme-Substrate Systems with Restricted Long-Range Interactions.” Physical Review E. American Physical Society, 2024. https://doi.org/10.1103/PhysRevE.110.024404.
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2024 |
Published |
Journal Article |
IST-REx-ID: 17104 |
Krämer, Johannes C., Edouard B Hannezo, Gerhard Gompper, and Jens Elgeti. “Mechanically-Driven Stem Cell Separation in Tissues Caused by Proliferating Daughter Cells.” SciPost Physics. SciPost Foundation, 2024. https://doi.org/10.21468/scipostphys.16.4.097.
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| arXiv
2024 |
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Journal Article |
IST-REx-ID: 18919
Baykusheva, Denitsa Rangelova. “Through the Slopes of a Light-Induced Phase Transition.” Nature Physics. Springer Nature, 2024. https://doi.org/10.1038/s41567-024-02401-7.
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2024 |
Research Data Reference |
IST-REx-ID: 23022 |
Elgeti, Jens, and Johannes Krämer. “Data for Mechanically-Driven Stem Cell Separation in Tissues Caused by Proliferating Daughter Cells.” Zenodo, 2024. https://doi.org/10.5281/zenodo.8410956.
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2024 |
Published |
Journal Article |
IST-REx-ID: 17123 |
Brückner, David, and Gašper Tkačik. “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, 2024. https://doi.org/10.1073/pnas.2322326121.
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2024 |
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Journal Article |
IST-REx-ID: 17885 |
Kofler, Lisa, Lorenz Grundmann, Magdalena Gerhalter, Michael Prattes, Juliane Merl-Pham, Gertrude Zisser, Irina Grishkovskaya, et al. “The Novel Ribosome Biogenesis Inhibitor Usnic Acid Blocks Nucleolar Pre-60S Maturation.” Nature Communications. Springer Nature, 2024. https://doi.org/10.1038/s41467-024-51754-3.
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2024 |
Research Data Reference |
IST-REx-ID: 23023 |
Corominas-Murtra, Bernat, Prachiti Moghe, Alison Kickuth, Takafumi Ichikawa, Chizuru Iwatani, Tomoyuki Tsukiyama, Nathalie Daniel, et al. “Data and Software from: Temporal Variability and Cell Mechanics Control Robustness in Mammalian Embryogenesis.” Institute of Science and Technology Austria, 2024. https://doi.org/10.5281/zenodo.12819780.
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2024 |
Published |
Conference Paper |
IST-REx-ID: 18913 |
Giuliari, Giacomo, Alberto Sonnino, Marc Frei, Fabio Streun, Eleftherios Kokoris Kogias, and Adrian Perrig. “An Empirical Study of Consensus Protocols’ DoS Resilience.” In Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 1345–60. ACM, 2024. https://doi.org/10.1145/3634737.3656997.
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2024 |
Published |
Conference Paper |
IST-REx-ID: 18957 |
Blackshear, Sam, Andrey Chursin, George Danezis, Anastasios Kichidis, Eleftherios Kokoris Kogias, Xun Li, Mark Logan, et al. “Sui Lutris: A Blockchain Combining Broadcast and Consensus.” In Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2606–20. ACM, 2024. https://doi.org/10.1145/3658644.3670286.
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