research
∙
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...
share
research
∙
09/07/2022
A simple approach for quantizing neural networks
In this short note, we propose a new method for quantizing the weights o...
research
∙
02/09/2022
Spectrally Adaptive Common Spatial Patterns
The method of Common Spatial Patterns (CSP) is widely used for feature e...
research
∙
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
∙
08/30/2021
On the Number of Faces and Radii of Cells Induced by Gaussian Spherical Tessellations
We study a geometric property related to spherical hyperplane tessellati...
research
∙
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
∙
03/24/2021
On the ℓ^∞-norms of the Singular Vectors of Arbitrary Powers of a Difference Matrix with Applications to Sigma-Delta Quantization
Let A _max := max_i,j |A_i,j| denote the maximum magnitude of entries of...
research
∙
10/29/2020
A Greedy Algorithm for Quantizing Neural Networks
We propose a new computationally efficient method for quantizing the wei...
research
∙
10/01/2020
Faster Binary Embeddings for Preserving Euclidean Distances
We propose a fast, distance-preserving, binary embedding algorithm to tr...
research
∙
07/30/2020
Random Vector Functional Link Networks for Function Approximation on Manifolds
The learning speed of feed-forward neural networks is notoriously slow a...
research
∙
10/04/2019
Admissible Measurements and Robust Algorithms for Ptychography
We study an approach to solving the phase retrieval problem as it arises...
research
∙
02/11/2019
New Algorithms and Improved Guarantees for One-Bit Compressed Sensing on Manifolds
We study the problem of approximately recovering signals on a manifold f...
research
∙
01/26/2018
Fast binary embeddings, and quantized compressed sensing with structured matrices
This paper deals with two related problems, namely distance-preserving b...
research
∙
07/06/2017
Simple Classification using Binary Data
Binary, or one-bit, representations of data arise naturally in many appl...
research
∙
04/28/2014