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174 Publications
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 |
Conference Paper |
IST-REx-ID: 22826 |
Rodionov, Gleb, et al. “Hogwild! Inference: Parallel LLM Generation via Concurrent Attention.” 39th Conference on Neural Information Processing Systems, vol. 38, Neural Information Processing Systems Foundation, 2025, pp. 52014–55, doi:10.52202/085713-1551.
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2025 |
Published |
Conference Paper |
IST-REx-ID: 22830 |
Garipov, Roman, et al. “AutoJudge: Judge Decoding without Manual Annotation.” 39th Annual Conference on Neural Information Processing Systems, vol. 38, Neural Information Processing Systems Foundation, 2025, pp. 104904–41, doi:10.52202/085713-3163.
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| arXiv
2025 |
Published |
Conference Paper |
IST-REx-ID: 22827 |
Ashkboos, Saleh, et al. “HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs.” 39th Conference on Neural Information Processing Systems, vol. 38, Neural Information Processing Systems Foundation, 2025, pp. 131755–80, doi:10.52202/085713-3966.
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 19518 |
Wu, Diyuan, et al. “The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 19519 |
Malinovskii, Vladimir, et al. “PV-Tuning: Beyond Straight-through Estimation for Extreme LLM Compression.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
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| arXiv
2024 |
Research Data Reference |
IST-REx-ID: 19884 |
Frantar, Elias, et al. MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models. Zenodo, 2024, doi:10.5281/ZENODO.14213091.
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2024 |
Published |
Conference Paper |
IST-REx-ID: 17332 |
Kokorin, Ilya, et al. “Wait-Free Trees with Asymptotically-Efficient Range Queries.” 2024 IEEE International Parallel and Distributed Processing Symposium, IEEE, 2024, pp. 169–79, doi:10.1109/IPDPS57955.2024.00023.
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 15011 |
Kurtic, Eldar, et al. “How to Prune Your Language Model: Recovering Accuracy on the ‘Sparsity May Cry’ Benchmark.” Proceedings of Machine Learning Research, vol. 234, ML Research Press, 2024, pp. 542–53.
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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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2024 |
Published |
Conference Paper |
IST-REx-ID: 17329 |
Alistarh, Dan-Adrian, et al. “Game Dynamics and Equilibrium Computation in the Population Protocol Model.” Proceedings of the 43rd Annual ACM Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2024, pp. 40–49, doi:10.1145/3662158.3662768.
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2024 |
Published |
Conference Paper |
IST-REx-ID: 18121 |
Moakhar, Arshia Soltani, et al. “SPADE: Sparsity-Guided Debugging for Deep Neural Networks.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 45955–87.
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 18976 |
Islamov, Rustem, et al. “AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms.” Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, vol. 238, ML Research Press, 2024, pp. 649–57.
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| arXiv
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
2024 |
Published |
Conference Paper |
IST-REx-ID: 18975 |
Modoranu, Ionut-Vlad, et al. “Error Feedback Can Accurately Compress Preconditioners.” 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 35910–33.
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 18977 |
Dettmers, Tim, et al. “SpQR: A Sparse-Quantized Representation for near-Lossless LLM Weight Compression.” 12th International Conference on Learning Representations, OpenReview, 2024.
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 17093 |
Zakerinia, Hossein, et al. “Communication-Efficient Federated Learning with Data and Client Heterogeneity.” Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, vol. 238, ML Research Press, 2024, pp. 3448–56.
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 18117 |
Nikdan, Mahdi, et al. “RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 38187–206.
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| arXiv
2024 |
Published |
Thesis | PhD |
IST-REx-ID: 17485 |
Frantar, Elias. Compressing Large Neural Networks: Algorithms, Systems and Scaling Laws. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:17485.
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2024 |
Published |
Conference Paper |
IST-REx-ID: 18062 |
Frantar, Elias, et al. “Scaling Laws for Sparsely-Connected Foundation Models.” The Twelfth International Conference on Learning Representations, 2024.
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| arXiv