research
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09/20/2023
SPFQ: A Stochastic Algorithm and Its Error Analysis for Neural Network Quantization
Quantization is a widely used compression method that effectively reduce...
research
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01/26/2022
Post-training Quantization for Neural Networks with Provable Guarantees
While neural networks have been remarkably successful in a wide array of...
research
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06/04/2021
Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features
We propose the use of low bit-depth Sigma-Delta and distributed noise-sh...
research
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10/01/2020
Faster Binary Embeddings for Preserving Euclidean Distances
We propose a fast, distance-preserving, binary embedding algorithm to tr...
research
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11/13/2017