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168 Publications
2026 |
Published |
Thesis | PhD |
IST-REx-ID: 21854 |
Iofinova, Eugenia B. On the Utility and Effects of Efficiency in Artificial Neural Networks. Institute of Science and Technology Austria, 2026, doi:10.15479/AT-ISTA-21854.
[Published Version]
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2026 |
Published |
Conference Poster |
IST-REx-ID: 21857 |
Nicolicioiu, Armand, et al. “Panza: Investigating the Feasibility of Fully-Local Personalized Text Generation.” Third Conference on Parsimony and Learning (Proceedings Track), 81, OpenReview, 2026.
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2026 |
Draft |
Preprint |
IST-REx-ID: 21859 |
Iofinova, Eugenia B., and Dan-Adrian Alistarh. “Behemoth: Benchmarking Unlearning in LLMs Using Fully Synthetic Data.” ArXiv, doi:10.48550/arXiv.2601.23153.
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 19877 |
Frantar, Elias, et al. “MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models.” Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, Association for Computing Machinery, 2025, pp. 239–51, doi:10.1145/3710848.3710871.
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| WoS
| arXiv
2025 |
Published |
Journal Article |
IST-REx-ID: 19969 |
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Alistarh, Dan-Adrian, et al. “Near-Optimal Leader Election in Population Protocols on Graphs.” Distributed Computing, vol. 38, Springer Nature, 2025, pp. 207–45, doi:10.1007/s00446-025-00487-7.
[Published Version]
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| WoS
| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20032 |
Chen, Jiale, et al. “Scalable Mechanistic Neural Networks.” 13th International Conference on Learning Representations, ICLR, 2025, pp. 63716–37.
[Published Version]
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20034 |
Robert, Thomas, et al. “LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics.” 13th International Conference on Learning Representations, ICLR, 2025, pp. 101877–913.
[Published Version]
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20037 |
Sawmya, Shashata, et al. “Wasserstein Distances, Neuronal Entanglement, and Sparsity.” 13th International Conference on Learning Representations, ICLR, 2025, pp. 26244–74.
[Published Version]
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20038 |
Jin, Tian, et al. “The Journey Matters: Average Parameter Count over Pre-Training Unifies Sparse and Dense Scaling Laws.” 13th International Conference on Learning Representations, ICLR, 2025, pp. 85165–81.
[Published Version]
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20224 |
Martynov, Pavel, et al. “In the Search of Optimal Tree Networks: Hardness and Heuristics.” Proceedings of the 2025 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2025, pp. 249–57, doi:10.1145/3712256.3726425.
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2025 |
Published |
Conference Paper |
IST-REx-ID: 20684 |
Kurtic, Eldar, et al. “‘Give Me BF16 or Give Me Death’? Accuracy-Performance Trade-Offs in LLM Quantization.” Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, 2025, pp. 26872–86.
[Published Version]
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| arXiv
2025 |
Published |
Journal Article |
IST-REx-ID: 20704
Tuo, Ping, et al. “Scalable Multitemperature Free Energy Sampling of Classical Ising Spin States.” Journal of Chemical Theory and Computation, vol. 21, no. 22, American Chemical Society, 2025, pp. 11427–35, doi:10.1021/acs.jctc.5c01248.
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| PubMed | Europe PMC
2025 |
Published |
Journal Article |
IST-REx-ID: 19713 |
Talaei, Shayan, et al. “Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence.” Proceedings of the 39th AAAI Conference on Artificial Intelligence, vol. 39, no. 19, Association for the Advancement of Artificial Intelligence, 2025, pp. 20778–86, doi:10.1609/aaai.v39i19.34290.
[Preprint]
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20820 |
Sieberling, Oliver, et al. “EvoPress: Accurate Dynamic Model Compression via Evolutionary Search.” 42nd International Conference on Machine Learning, vol. 267, ML Research Press, 2025, pp. 55556–90.
[Published Version]
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20821 |
Nguyen, Anh Duc, et al. “Layer-Wise Quantization for Quantized Optimistic Dual Averaging.” 42nd International Conference on Machine Learning, vol. 267, ML Research Press, 2025, pp. 46026–72.
[Published Version]
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 21250 |
Alistarh, Dan-Adrian, et al. “An Almost-Logarithmic Lower Bound for Leader Election with Bounded Value Contention.” 39th International Symposium on Distributed Computing, vol. 356, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2025, p. 3:1-3:16, doi:10.4230/LIPIcs.DISC.2025.3.
[Published Version]
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| DOI
2025 |
Published |
Book Chapter |
IST-REx-ID: 21257 |
Kurtic, Eldar, et al. “Sparse Fine-Tuning for Inference Acceleration of Large Language Models.” Enhancing LLM Performance. Efficacy, Fine-Tuning, and Inference Techniques, edited by Peyman Passban et al., Springer Nature, 2025, pp. 83–97, doi:10.1007/978-3-031-85747-8_6.
[Preprint]
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| arXiv
2025 |
Draft |
Preprint |
IST-REx-ID: 21858 |
Iofinova, Eugenia B., et al. “Position: It’s Time to Act on the Risk of Efficient Personalized Text Generation.” ArXiv, doi:10.48550/arXiv.2502.06560.
[Preprint]
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 18070
Chatterjee, Bapi, et al. “Federated SGD with Local Asynchrony.” Proceedings of the 44th International Conference on Distributed Computing Systems, IEEE, 2024, pp. 857–68, doi:10.1109/ICDCS60910.2024.00084.
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| WoS
2024 |
Published |
Conference Paper |
IST-REx-ID: 18113 |
Egiazarian, Vage, et al. “Extreme Compression of Large Language Models via Additive Quantization.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 12284–303.
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| arXiv