This paper discusses three basic blocks for the inference of convolutional neural networks (CNNs). Pyramid Vector Quantization [1] (PVQ) is discussed as an effective quantizer for CNNs weights ...
Bit Layer Multiplier Accumulator (BLMAC) is an efficient method to perform dot products without multiplications that exploits the bit level sparsity of the weights. A total of 1,980,000 low, high, ...
Phase-retrieval algorithms, aimed at reconstructing signals from the magnitude of their Fourier transform, are used in many fields of science and engineering 1,2,3,4,5,6,7,8,9,10,11,12,13, including ...
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