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Yury Nahshan

Post training 4-bit quantization of convolutional networks for rapid-deployment
2019 · Ron Banner, Yury Nahshan, et al. · neural information processing systems · 250
Loss aware post-training quantization
2021 · Yury Nahshan, Brian Chmiel, et al. · Machine Learning · 164
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Post-training 4-bit quantization of convolution networks for rapid-deployment
2018 · Banner, Ron, Nahshan, Yury, et al. · arXiv (Cornell University) · 158
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Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
2020 · Hubara, Itay, Nahshan, Yury, et al. · arXiv (Cornell University) · 105
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ACIQ: Analytical Clipping for Integer Quantization of neural networks
2018 · Ron Banner, Yury Nahshan, et al. · arXiv (Cornell University) · 87
Robust Quantization: One Model to Rule Them All
2020 · Shkolnik, Moran, Chmiel, Brian, et al. · arXiv (Cornell University) · 51
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Linear Log-Normal Attention with Unbiased Concentration
2023 · Nahshan, Yury, Kampeas, Joseph, et al. · arXiv (Cornell University) · 2
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VANDAM: Viewing a nucleotide sequence with DNA molecular priors
2026 · Levy, Jeremy, Larey, Ariel, et al. · arXiv (Cornell University)
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Cross-Entropy Guided Routing in Mixture-of-Experts Large Language Models
2026 · Nahshan, Yury, Daniel, Nati, et al. · arXiv (Cornell University)
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DNT: Diploid Genomic Foundation Model
2026 · Guy Leib, Tal Zinger, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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Finite Information Capacity and the Microscopic Origin of Gravity
2026 · Nahshan, Yury
Rotation Invariant Quantization for Model Compression
2023 · Kampeas, Joseph, Nahshan, Yury, et al. · arXiv (Cornell University)
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Works count: 12
Citation count: 817
H-index: 6
I10-index: 6
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