Yury Nahshan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Quantization Error

Integer Programming

Top Venues

Publications

Yury Nahshan, Joseph Kampeas, Emir Haleva
Linear Log-Normal Attention with Unbiased Concentration. ICLR (2024)
Joseph Kampeas, Yury Nahshan, Hanoch Kremer, Gil Lederman, Shira Zaloshinski, Zheng Li, Emir Haleva
Rotation Invariant Quantization for Model Compression. CoRR (2023)
Yury Nahshan, Joseph Kampeas, Emir Haleva
Linear Log-Normal Attention with Unbiased Concentration. CoRR (2023)
Itay Hubara, Yury Nahshan, Yair Hanani, Ron Banner, Daniel Soudry
Accurate Post Training Quantization With Small Calibration Sets. ICML (2021)
Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson
Loss aware post-training quantization. Mach. Learn. 110 (11) (2021)
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)
Itay Hubara, Yury Nahshan, Yair Hanani, Ron Banner, Daniel Soudry
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming. CoRR (2020)
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 (2020)
Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson
Loss Aware Post-training Quantization. CoRR (2019)
Ron Banner, Yury Nahshan, Daniel Soudry
Post training 4-bit quantization of convolutional networks for rapid-deployment. NeurIPS (2019)
Ron Banner, Yury Nahshan, Elad Hoffer, Daniel Soudry
ACIQ: Analytical Clipping for Integer Quantization of neural networks. CoRR (2018)