Loss aware post-training quantization von Nahshan, Yury, Chmiel, Brian, Baskin, Chaim, Zheltonozhskii, Evgenii, Banner, Ron, Bronstein, Alex M., Mendelson, Avi

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Designing Low-Capacity Backup Networks for Fast Restoration von Banner, Ron, Orda, Ariel

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Multipath Routing Algorithms for Congestion Minimization von Banner, R., Orda, A.

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Bottleneck Routing Games in Communication Networks von Banner, R., Orda, A.

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Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks von Shomron, Gil, Banner, Ron, Shkolnik, Moran, Weiser, Uri

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Multipath Routing Algorithms for Congestion Minimization von Banner, Ron, Orda, Ariel

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Power Awareness in Low Precision Neural Networks von Eliezer, Nurit Spingarn, Banner, Ron, Ben-Yaakov, Hilla, Hoffer, Elad, Michaeli, Tomer

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The Power of Tuning: A Novel Approach for the Efficient Design of Survivable Networks von Banner, R.., Orda, A..

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Scaling FP8 training to trillion-token LLMs von Fishman, Maxim, Chmiel, Brian, Banner, Ron, Soudry, Daniel

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EXAQ: Exponent Aware Quantization For LLMs Acceleration von Shkolnik, Moran, Fishman, Maxim, Chmiel, Brian, Ben-Yaacov, Hilla, Banner, Ron, Levy, Kfir Yehuda

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GAN "Steerability" without optimization von Spingarn-Eliezer, Nurit, Banner, Ron, Michaeli, Tomer

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COMPRESSING NEURAL NETWORKS THROUGH UNBIASED MINIMUM VARIANCE PRUNING von Banner, Ron, Chmiel, Brian, Hubara, Itay

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Minimum Variance Unbiased N:M Sparsity for the Neural Gradients von Chmiel, Brian, Hubara, Itay, Banner, Ron, Soudry, Daniel

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DETERMINING A VISUAL BALANCE OF AN IMAGE von BANNER, Ron

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DropCompute: simple and more robust distributed synchronous training via compute variance reduction von Giladi, Niv, Gottlieb, Shahar, Shkolnik, Moran, Karnieli, Asaf, Banner, Ron, Hoffer, Elad, Levy, Kfir Yehuda, Soudry, Daniel

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Scaling FP8 training to trillion-token LLMs von Fishman, Maxim, Chmiel, Brian, Banner, Ron, Soudry, Daniel

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Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming von Hubara, Itay, Nahshan, Yury, Hanani, Yair, Banner, Ron, Soudry, Daniel

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Minimum Variance Unbiased N:M Sparsity for the Neural Gradients von Chmiel, Brian, Hubara, Itay, Banner, Ron, Soudry, Daniel

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Energy awareness in low precision neural networks von Eliezer, Nurit Spingarn, Banner, Ron, Hoffer, Elad, Ben-Yaakov, Hilla, Michaeli, Tomer

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Graph Representation Learning via Aggregation Enhancement von Fishman, Maxim, Baskin, Chaim, Zheltonozhskii, Evgenii, David, Almog, Banner, Ron, Mendelson, Avi

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