Rayan Saab

According to our database1, Rayan Saab authored at least 41 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Post-training Quantization for Neural Networks with Provable Guarantees.
SIAM J. Math. Data Sci., June, 2023

SPFQ: A Stochastic Algorithm and Its Error Analysis for Neural Network Quantization.
CoRR, 2023

2022
A simple approach for quantizing neural networks.
CoRR, 2022

Spectrally Adaptive Common Spatial Patterns.
CoRR, 2022

2021
A Greedy Algorithm for Quantizing Neural Networks.
J. Mach. Learn. Res., 2021

On the Number of Faces and Radii of Cells Induced by Gaussian Spherical Tessellations.
CoRR, 2021

Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features.
CoRR, 2021

On the $\ell^\infty$-norms of the Singular Vectors of Arbitrary Powers of a Difference Matrix with Applications to Sigma-Delta Quantization.
CoRR, 2021

Faster Binary Embeddings for Preserving Euclidean Distances.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
A direct solver for the phase retrieval problem in ptychographic imaging.
Math. Comput. Simul., 2020

Random Vector Functional Link Networks for Function Approximation on Manifolds.
CoRR, 2020

2019
Admissible Measurements and Robust Algorithms for Ptychography.
CoRR, 2019

New Algorithms and Improved Guarantees for One-Bit Compressed Sensing on Manifolds.
CoRR, 2019

2018
From Compressed Sensing to Compressed Bit-Streams: Practical Encoders, Tractable Decoders.
IEEE Trans. Inf. Theory, 2018

Simple Classification Using Binary Data.
J. Mach. Learn. Res., 2018

Fast binary embeddings, and quantized compressed sensing with structured matrices.
CoRR, 2018

2017
Quantization for Low-Rank Matrix Recovery.
CoRR, 2017

Quantized Compressed Sensing for Partial Random Circulant Matrices.
CoRR, 2017

Simple Object Classification Using Binary Data.
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

2016
One-Bit Compressive Sensing With Norm Estimation.
IEEE Trans. Inf. Theory, 2016

Weighted ℓ<sub>1</sub>-Minimization for Sparse Recovery under Arbitrary Prior Information.
CoRR, 2016

2015
A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions.
IEEE Signal Process. Lett., 2015

Quantization of compressive samples with stable and robust recovery.
CoRR, 2015

Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems.
CoRR, 2015

Weighted one-norm minimization with inaccurate support estimates: Sharp analysis via the null-space property.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Near-Optimal Compression for Compressed Sensing.
Proceedings of the 2015 Data Compression Conference, 2015

2014
Recovery Analysis for Weighted ℓ<sub>1</sub>-Minimization Using a Null Space Property.
CoRR, 2014

Quantization and Compressive Sensing.
CoRR, 2014

2013
Sobolev Duals for Random Frames and ΣΔ Quantization of Compressed Sensing Measurements.
Found. Comput. Math., 2013

Sigma-Delta quantization of sub-Gaussian frame expansions and its application to compressed sensing.
CoRR, 2013

Near-Optimal Encoding for Sigma-Delta Quantization of Finite Frame Expansions.
CoRR, 2013

2012
Root-Exponential Accuracy for Coarse Quantization of Finite Frame Expansions.
IEEE Trans. Inf. Theory, 2012

Recovering Compressively Sampled Signals Using Partial Support Information.
IEEE Trans. Inf. Theory, 2012

2010
Sobolev Duals for Random Frames and Sigma-Delta Quantization of Compressed Sensing Measurements
CoRR, 2010

Color image desaturation using sparse reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2010

Sigma delta quantization for compressed sensing.
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

Sobolev duals of random frames.
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

2009
Algorithm 890: Sparco: A Testing Framework for Sparse Reconstruction.
ACM Trans. Math. Softw., 2009

2008
Sparse Recovery by Non-convex Optimization -- Instance Optimality
CoRR, 2008

Stable sparse approximations via nonconvex optimization.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Underdetermined Anechoic Blind Source Separation via ell<sup>q</sup>-Basis-Pursuit With q<<1.
IEEE Trans. Signal Process., 2007


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