Rayan Saab

According to our database, Rayan Saab authored at least 44 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Random vector functional link networks for function approximation on manifolds.

Deanna Needell, Aaron A. Nelson, Rayan Saab, Palina Salanevich, Olov Schavemaker

Frontiers Appl. Math. Stat., 2024

Unified Stochastic Framework for Neural Network Quantization and Pruning.

Haoyu Zhang, Rayan Saab

CoRR, 2024

Accumulator-Aware Post-Training Quantization.

Ian Colbert, Fabian Grob, Giuseppe Franco, Jinjie Zhang, Rayan Saab

CoRR, 2024

2023

Post-training Quantization for Neural Networks with Provable Guarantees.

Jinjie Zhang, Yixuan Zhou, Rayan Saab

SIAM J. Math. Data Sci., June, 2023

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

Jinjie Zhang, Rayan Saab

CoRR, 2023

2022

A simple approach for quantizing neural networks.

Johannes Maly, Rayan Saab

CoRR, 2022

Spectrally Adaptive Common Spatial Patterns.

Mahta Mousavi, Eric Lybrand, Shuangquan Feng, Shuai Tang, Rayan Saab, Virginia de Sa

CoRR, 2022

2021

A Greedy Algorithm for Quantizing Neural Networks.

Eric Lybrand, Rayan Saab

J. Mach. Learn. Res., 2021

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

Eric Lybrand, Anna Ma, Rayan Saab

CoRR, 2021

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

Jinjie Zhang, Alexander Cloninger, Rayan Saab

CoRR, 2021

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

Theodore Faust, Mark A. Iwen, Rayan Saab, Rongrong Wang

CoRR, 2021

Faster Binary Embeddings for Preserving Euclidean Distances.

Jinjie Zhang, Rayan Saab

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

A direct solver for the phase retrieval problem in ptychographic imaging.

Nada Sissouno, Florian Boßmann, Frank Filbir, Mark A. Iwen, Maik Kahnt, Rayan Saab, Christian Schroer, Wolfgang zu Castell

Math. Comput. Simul., 2020

Random Vector Functional Link Networks for Function Approximation on Manifolds.

Deanna Needell, Aaron A. Nelson, Rayan Saab, Palina Salanevich

CoRR, 2020

2019

Admissible Measurements and Robust Algorithms for Ptychography.

Brian Preskitt, Rayan Saab

CoRR, 2019

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

Mark A. Iwen, Eric Lybrand, Aaron A. Nelson, Rayan Saab

CoRR, 2019

2018

From Compressed Sensing to Compressed Bit-Streams: Practical Encoders, Tractable Decoders.

Rayan Saab, Rongrong Wang, Özgür Yilmaz

IEEE Trans. Inf. Theory, 2018

Simple Classification Using Binary Data.

Deanna Needell, Rayan Saab, Tina Woolf

J. Mach. Learn. Res., 2018

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

Thang Huynh, Rayan Saab

CoRR, 2018

2017

Quantization for Low-Rank Matrix Recovery.

Eric Lybrand, Rayan Saab

CoRR, 2017

Quantized Compressed Sensing for Partial Random Circulant Matrices.

Joe-Mei Feng, Felix Krahmer, Rayan Saab

CoRR, 2017

Simple Object Classification Using Binary Data.

Deanna Needell, Rayan Saab, Tina Woolf

Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

2016

One-Bit Compressive Sensing With Norm Estimation.

Karin Knudson, Rayan Saab, Rachel A. Ward

IEEE Trans. Inf. Theory, 2016

Weighted ℓ₁-Minimization for Sparse Recovery under Arbitrary Prior Information.

Deanna Needell, Rayan Saab, Tina Woolf

CoRR, 2016

2015

A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions.

Ingrid Daubechies, Rayan Saab

IEEE Signal Process. Lett., 2015

Quantization of compressive samples with stable and robust recovery.

Rayan Saab, Rongrong Wang, Özgür Yilmaz

CoRR, 2015

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

Evan Chou, C. Sinan Güntürk, Felix Krahmer, Rayan Saab, Özgür Yilmaz

CoRR, 2015

Weighted one-norm minimization with inaccurate support estimates: Sharp analysis via the null-space property.

Hassan Mansour, Rayan Saab

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Near-Optimal Compression for Compressed Sensing.

Rayan Saab, Rongrong Wang, Özgür Yilmaz

Proceedings of the 2015 Data Compression Conference, 2015

2014

Recovery Analysis for Weighted ℓ₁-Minimization Using a Null Space Property.

Hassan Mansour, Rayan Saab

CoRR, 2014

Quantization and Compressive Sensing.

Petros T. Boufounos, Laurent Jacques, Felix Krahmer, Rayan Saab

CoRR, 2014

2013

Sobolev Duals for Random Frames and ΣΔ Quantization of Compressed Sensing Measurements.

C. Sinan Güntürk, Mark Lammers, Alexander M. Powell, Rayan Saab, Özgür Yilmaz

Found. Comput. Math., 2013

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

Felix Krahmer, Rayan Saab, Özgür Yilmaz

CoRR, 2013

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

Mark A. Iwen, Rayan Saab

CoRR, 2013

2012

Root-Exponential Accuracy for Coarse Quantization of Finite Frame Expansions.

Felix Krahmer, Rayan Saab, Rachel A. Ward

IEEE Trans. Inf. Theory, 2012

Recovering Compressively Sampled Signals Using Partial Support Information.

Michael P. Friedlander, Hassan Mansour, Rayan Saab, Özgür Yilmaz

IEEE Trans. Inf. Theory, 2012

2010

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

C. Sinan Güntürk, Alexander M. Powell, Rayan Saab, Özgür Yilmaz

CoRR, 2010

Color image desaturation using sparse reconstruction.

Hassan Mansour, Rayan Saab, Panos Nasiopoulos, Rabab Kreidieh Ward

Proceedings of the IEEE International Conference on Acoustics, 2010

Sigma delta quantization for compressed sensing.

C. Sinan Güntürk, Mark Lammers, Alexander M. Powell, Rayan Saab, Özgür Yilmaz

Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

Sobolev duals of random frames.

C. Sinan Güntürk, Mark Lammers, Alexander M. Powell, Rayan Saab, Özgür Yilmaz

Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

2009

Algorithm 890: Sparco: A Testing Framework for Sparse Reconstruction.

Ewout van den Berg, Michael P. Friedlander, Gilles Hennenfent, Felix J. Herrmann, Rayan Saab, Özgür Yilmaz

ACM Trans. Math. Softw., 2009

2008

Sparse Recovery by Non-convex Optimization -- Instance Optimality

Rayan Saab, Özgür Yilmaz

CoRR, 2008

Stable sparse approximations via nonconvex optimization.

Rayan Saab, Rick Chartrand, Özgür Yilmaz

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Underdetermined Anechoic Blind Source Separation via ell^q-Basis-Pursuit With q<<1.

Rayan Saab, Özgür Yilmaz, Martin J. McKeown, Rafeef Abugharbieh

IEEE Trans. Signal Process., 2007