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