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168 Publications
2026 |
Published |
Thesis | PhD |
IST-REx-ID: 21854 |
Iofinova EB. 2026. On the utility and effects of efficiency in artificial neural networks. Institute of Science and Technology Austria.
[Published Version]
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2026 |
Published |
Conference Poster |
IST-REx-ID: 21857 |
Nicolicioiu A, Iofinova EB, Jovanovic A, Kurtic E, Nikdan M, Panferov A, Markov I, Shavit N, Alistarh D-A. 2026. Panza: Investigating the feasibility of fully-local personalized text generation, OpenReview,p.
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2026 |
Draft |
Preprint |
IST-REx-ID: 21859 |
Iofinova EB, Alistarh D-A. Behemoth: Benchmarking unlearning in LLMs using fully synthetic data. arXiv, 10.48550/arXiv.2601.23153.
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 19877 |
Frantar E, Castro RL, Chen J, Hoefler T, Alistarh D-A. 2025. 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. PPoPP: Symposium on Principles and Practice of Parallel Programming, 239–251.
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| WoS
| arXiv
2025 |
Published |
Journal Article |
IST-REx-ID: 19969 |
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Alistarh D-A, Rybicki J, Voitovych S. 2025. Near-optimal leader election in population protocols on graphs. Distributed Computing. 38, 207–245.
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20032 |
Chen J, Yao D, Pervez AA, Alistarh D-A, Locatello F. 2025. Scalable mechanistic neural networks. 13th International Conference on Learning Representations. ICLR: International Conference on Learning Representations, 63716–63737.
[Published Version]
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20034 |
Robert T, Safaryan M, Modoranu I-V, Alistarh D-A. 2025. LDAdam: Adaptive optimization from low-dimensional gradient statistics. 13th International Conference on Learning Representations. ICLR: International Conference on Learning Representations, 101877–101913.
[Published Version]
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20037 |
Sawmya S, Kong L, Markov I, Alistarh D-A, Shavit N. 2025. Wasserstein distances, neuronal entanglement, and sparsity. 13th International Conference on Learning Representations. ICLR: International Conference on Learning Representations, 26244–26274.
[Published Version]
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20038 |
Jin T, Humayun AI, Evci U, Subramanian S, Yazdanbakhsh A, Alistarh D-A, Dziugaite GK. 2025. The journey matters: Average parameter count over pre-training unifies sparse and dense scaling laws. 13th International Conference on Learning Representations. ICLR: International Conference on Learning Representations, 85165–85181.
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20224 |
Martynov P, Buzdalov M, Pankratov S, Aksenov V, Schmid S. 2025. In the search of optimal tree networks: Hardness and heuristics. Proceedings of the 2025 Genetic and Evolutionary Computation Conference. GECCO: Genetic and evolutionary computation conference, 249–257.
[Published Version]
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| WoS
2025 |
Published |
Conference Paper |
IST-REx-ID: 20684 |
Kurtic E, Marques A, Pandit S, Kurtz M, Alistarh D-A. 2025. “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. ACL: Meeting of the Association for Computational Linguistics, 26872–26886.
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| arXiv
2025 |
Published |
Journal Article |
IST-REx-ID: 20704
Tuo P, Zeng Z, Chen J, Cheng B. 2025. Scalable multitemperature free energy sampling of classical Ising spin states. Journal of Chemical Theory and Computation. 21(22), 11427–11435.
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| PubMed | Europe PMC
2025 |
Published |
Journal Article |
IST-REx-ID: 19713 |
Talaei S, Ansaripour M, Nadiradze G, Alistarh D-A. 2025. Hybrid decentralized optimization: Leveraging both first- and zeroth-order optimizers for faster convergence. Proceedings of the 39th AAAI Conference on Artificial Intelligence. 39(19), 20778–20786.
[Preprint]
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20820 |
Sieberling O, Kuznedelev D, Kurtic E, Alistarh D-A. 2025. EvoPress: Accurate dynamic model compression via evolutionary search. 42nd International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 267, 55556–55590.
[Published Version]
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 20821 |
Nguyen AD, Markov I, Wu FZ, Ramezani-Kebrya A, Antonakopoulos K, Alistarh D-A, Cevher V. 2025. Layer-wise quantization for quantized optimistic dual averaging. 42nd International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 267, 46026–46072.
[Published Version]
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 21250 |
Alistarh D-A, Ellen F, Fedorov A. 2025. An almost-logarithmic lower bound for leader election with bounded value contention. 39th International Symposium on Distributed Computing. DISC: Symposium on Distributed Computing, LIPIcs, vol. 356, 3:1-3:16.
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2025 |
Published |
Book Chapter |
IST-REx-ID: 21257 |
Kurtic E, Kuznedelev D, Frantar E, Goinv M, Pandit S, Agarwalla A, Nguyen T, Marques A, Kurtz M, Alistarh D-A. 2025.Sparse Fine-Tuning for Inference Acceleration of Large Language Models. In: Enhancing LLM Performance. Efficacy, Fine-Tuning, and Inference Techniques. Machine Translation: Technologies and Applications, , 83–97.
[Preprint]
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| arXiv
2025 |
Draft |
Preprint |
IST-REx-ID: 21858 |
Iofinova EB, Jovanovic A, Alistarh D-A. Position: It’s time to act on the risk of efficient personalized text generation. arXiv, 10.48550/arXiv.2502.06560.
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 18070
Chatterjee B, Kungurtsev V, Alistarh D-A. 2024. Federated SGD with local asynchrony. Proceedings of the 44th International Conference on Distributed Computing Systems. ICDCS: International Conference on Distributed Computing Systems, 857–868.
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| WoS
2024 |
Published |
Conference Paper |
IST-REx-ID: 18113 |
Egiazarian V, Panferov A, Kuznedelev D, Frantar E, Babenko A, Alistarh D-A. 2024. Extreme compression of large language models via additive quantization. Proceedings of the 41st International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 235, 12284–12303.
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| arXiv