Rayan Saab

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 26

Top Topics

Greedy Algorithm

Compressed Sensing

Top Venues

IEEE Trans. Inf. Theory

J. Mach. Learn. Res.

Publications

Jinjie Zhang, Rayan Saab
SPFQ: A Stochastic Algorithm and Its Error Analysis for Neural Network Quantization. CoRR (2023)
Jinjie Zhang, Yixuan Zhou, Rayan Saab
Post-training Quantization for Neural Networks with Provable Guarantees. SIAM J. Math. Data Sci. 5 (2) (2023)
Jinjie Zhang, Yixuan Zhou, Rayan Saab
Post-training Quantization for Neural Networks with Provable Guarantees. CoRR (2022)
Mahta Mousavi, Eric Lybrand, Shuangquan Feng, Shuai Tang, Rayan Saab, Virginia de Sa
Spectrally Adaptive Common Spatial Patterns. CoRR (2022)
Johannes Maly, Rayan Saab
A simple approach for quantizing neural networks. CoRR (2022)
Eric Lybrand, Anna Ma, Rayan Saab
On the Number of Faces and Radii of Cells Induced by Gaussian Spherical Tessellations. CoRR (2021)
Jinjie Zhang, Alexander Cloninger, Rayan Saab
Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features. CoRR (2021)
Theodore Faust, Mark A. Iwen, Rayan Saab, Rongrong Wang
On the $\ell^\infty$-norms of the Singular Vectors of Arbitrary Powers of a Difference Matrix with Applications to Sigma-Delta Quantization. CoRR (2021)
Jinjie Zhang, Rayan Saab
Faster Binary Embeddings for Preserving Euclidean Distances. ICLR (2021)
Eric Lybrand, Rayan Saab
A Greedy Algorithm for Quantizing Neural Networks. J. Mach. Learn. Res. 22 (2021)
Deanna Needell, Aaron A. Nelson, Rayan Saab, Palina Salanevich
Random Vector Functional Link Networks for Function Approximation on Manifolds. CoRR (2020)
Nada Sissouno, Florian Boßmann, Frank Filbir, Mark A. Iwen, Maik Kahnt, Rayan Saab, Christian Schroer, Wolfgang zu Castell
A direct solver for the phase retrieval problem in ptychographic imaging. Math. Comput. Simul. 176 (2020)
Jinjie Zhang, Rayan Saab
Faster Binary Embeddings for Preserving Euclidean Distances. CoRR (2020)
Eric Lybrand, Rayan Saab
A Greedy Algorithm for Quantizing Neural Networks. CoRR (2020)
Brian Preskitt, Rayan Saab
Admissible Measurements and Robust Algorithms for Ptychography. CoRR (2019)
Mark A. Iwen, Eric Lybrand, Aaron A. Nelson, Rayan Saab
New Algorithms and Improved Guarantees for One-Bit Compressed Sensing on Manifolds. CoRR (2019)
Rayan Saab, Rongrong Wang, Özgür Yilmaz
From Compressed Sensing to Compressed Bit-Streams: Practical Encoders, Tractable Decoders. IEEE Trans. Inf. Theory 64 (9) (2018)
Deanna Needell, Rayan Saab, Tina Woolf
Simple Classification Using Binary Data. J. Mach. Learn. Res. 19 (2018)
Thang Huynh, Rayan Saab
Fast binary embeddings, and quantized compressed sensing with structured matrices. CoRR (2018)
Deanna Needell, Rayan Saab, Tina Woolf
Simple Classification using Binary Data. CoRR (2017)
Deanna Needell, Rayan Saab, Tina Woolf
Simple Object Classification Using Binary Data. AAAI Fall Symposia (2017)
Eric Lybrand, Rayan Saab
Quantization for Low-Rank Matrix Recovery. CoRR (2017)
Joe-Mei Feng, Felix Krahmer, Rayan Saab
Quantized Compressed Sensing for Partial Random Circulant Matrices. CoRR (2017)
Deanna Needell, Rayan Saab, Tina Woolf
-Minimization for Sparse Recovery under Arbitrary Prior Information. CoRR (2016)
Karin Knudson, Rayan Saab, Rachel Ward
One-Bit Compressive Sensing With Norm Estimation. IEEE Trans. Inf. Theory 62 (5) (2016)
Rayan Saab, Rongrong Wang, Özgür Yilmaz
From compressed sensing to compressed bit-streams: practical encoders, tractable decoders. CoRR (2016)
Hassan Mansour, Rayan Saab
Weighted one-norm minimization with inaccurate support estimates: Sharp analysis via the null-space property. ICASSP (2015)
Ingrid Daubechies, Rayan Saab
A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions. IEEE Signal Process. Lett. 22 (11) (2015)
Evan Chou, C. Sinan Güntürk, Felix Krahmer, Rayan Saab, Özgür Yilmaz
Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems. CoRR (2015)
Ingrid Daubechies, Rayan Saab
A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions. CoRR (2015)
Rayan Saab, Rongrong Wang, Özgür Yilmaz
Near-Optimal Compression for Compressed Sensing. DCC (2015)
Rayan Saab, Rongrong Wang, Özgür Yilmaz
Quantization of compressive samples with stable and robust recovery. CoRR (2015)
Hassan Mansour, Rayan Saab
-Minimization Using a Null Space Property. CoRR (2014)
Petros T. Boufounos, Laurent Jacques, Felix Krahmer, Rayan Saab
Quantization and Compressive Sensing. CoRR (2014)
Felix Krahmer, Rayan Saab, Özgür Yilmaz
Sigma-Delta quantization of sub-Gaussian frame expansions and its application to compressed sensing. CoRR (2013)
C. Sinan Güntürk, Mark Lammers, Alexander M. Powell, Rayan Saab, Özgür Yilmaz
Sobolev Duals for Random Frames and ΣΔ Quantization of Compressed Sensing Measurements. Found. Comput. Math. 13 (1) (2013)
Mark A. Iwen, Rayan Saab
Near-Optimal Encoding for Sigma-Delta Quantization of Finite Frame Expansions. CoRR (2013)
Felix Krahmer, Rayan Saab, Rachel Ward
Root-Exponential Accuracy for Coarse Quantization of Finite Frame Expansions. IEEE Trans. Inf. Theory 58 (2) (2012)
Michael P. Friedlander, Hassan Mansour, Rayan Saab, Özgür Yilmaz
Recovering Compressively Sampled Signals Using Partial Support Information. IEEE Trans. Inf. Theory 58 (2) (2012)
Hassan Mansour, Rayan Saab, Panos Nasiopoulos, Rabab Kreidieh Ward
Color image desaturation using sparse reconstruction. ICASSP (2010)
C. Sinan Güntürk, Alexander M. Powell, Rayan Saab, Özgür Yilmaz
Sobolev Duals for Random Frames and Sigma-Delta Quantization of Compressed Sensing Measurements CoRR (2010)
C. Sinan Güntürk, Mark Lammers, Alexander M. Powell, Rayan Saab, Özgür Yilmaz
Sigma delta quantization for compressed sensing. CISS (2010)
Michael P. Friedlander, Hassan Mansour, Rayan Saab, Özgür Yilmaz
Recovering Compressively Sampled Signals Using Partial Support Information CoRR (2010)
C. Sinan Güntürk, Mark Lammers, Alexander M. Powell, Rayan Saab, Özgür Yilmaz
Sobolev duals of random frames. CISS (2010)
Ewout van den Berg, Michael P. Friedlander, Gilles Hennenfent, Felix J. Herrmann, Rayan Saab, Özgür Yilmaz
Algorithm 890: Sparco: A Testing Framework for Sparse Reconstruction. ACM Trans. Math. Softw. 35 (4) (2009)
Rayan Saab, Rick Chartrand, Özgür Yilmaz
Stable sparse approximations via nonconvex optimization. ICASSP (2008)
Rayan Saab, Özgür Yilmaz
Sparse Recovery by Non-convex Optimization -- Instance Optimality CoRR (2008)
Rayan Saab, Özgür Yilmaz, Martin J. McKeown, Rafeef Abugharbieh
-Basis-Pursuit With q<<1. IEEE Trans. Signal Process. 55 (8) (2007)