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ORCIDYury Nahshan
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2020 – today
- 2024
[c4]Yury Nahshan, Joseph Kampeas, Emir Haleva:
Linear Log-Normal Attention with Unbiased Concentration. ICLR 2024- 2023
- [i6]Joseph Kampeas, Yury Nahshan, Hanoch Kremer, Gil Lederman, Shira Zaloshinski, Zheng Li, Emir Haleva:
Rotation Invariant Quantization for Model Compression. CoRR abs/2303.03106 (2023) - [i5]Yury Nahshan, Joseph Kampeas, Emir Haleva:
Linear Log-Normal Attention with Unbiased Concentration. CoRR abs/2311.13541 (2023) - 2021
- [j1]Yury Nahshan, Brian Chmiel, Chaim Baskin
, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson:
Loss aware post-training quantization. Mach. Learn. 110(11): 3245-3262 (2021) - [c3]Itay Hubara, Yury Nahshan, Yair Hanani, Ron Banner, Daniel Soudry:
Accurate Post Training Quantization With Small Calibration Sets. ICML 2021: 4466-4475 - 2020
- [c2]Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alex M. Bronstein, Uri C. Weiser:
Robust Quantization: One Model to Rule Them All. NeurIPS 2020 - [i4]Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alexander M. Bronstein, Uri C. Weiser:
Robust Quantization: One Model to Rule Them All. CoRR abs/2002.07686 (2020) - [i3]Itay Hubara, Yury Nahshan, Yair Hanani, Ron Banner, Daniel Soudry:
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming. CoRR abs/2006.10518 (2020)
2010 – 2019
- 2019
- [c1]Ron Banner, Yury Nahshan, Daniel Soudry:
Post training 4-bit quantization of convolutional networks for rapid-deployment. NeurIPS 2019: 7948-7956 - [i2]Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson:
Loss Aware Post-training Quantization. CoRR abs/1911.07190 (2019) - 2018
- [i1]Ron Banner, Yury Nahshan, Elad Hoffer, Daniel Soudry:
ACIQ: Analytical Clipping for Integer Quantization of neural networks. CoRR abs/1810.05723 (2018)
Coauthor Index
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