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Charbel Sakr

VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning

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Oct 11, 2023
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Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training

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Jun 13, 2022
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Fundamental Limits on Energy-Delay-Accuracy of In-memory Architectures in Inference Applications

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Dec 25, 2020
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HarDNN: Feature Map Vulnerability Evaluation in CNNs

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Feb 25, 2020
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Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks

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Jan 19, 2019
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Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm

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Dec 31, 2018
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Understanding the Energy and Precision Requirements for Online Learning

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Aug 26, 2016
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