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2020 – today
- 2024
[i29]Ian Colbert, Fabian Grob, Giuseppe Franco, Jinjie Zhang, Rayan Saab:
Accumulator-Aware Post-Training Quantization. CoRR abs/2409.17092 (2024)- 2023
- [j12]Jinjie Zhang, Yixuan Zhou, Rayan Saab:
Post-training Quantization for Neural Networks with Provable Guarantees. SIAM J. Math. Data Sci. 5(2): 373-399 (2023) - [i28]Jinjie Zhang, Rayan Saab:
SPFQ: A Stochastic Algorithm and Its Error Analysis for Neural Network Quantization. CoRR abs/2309.10975 (2023) - 2022
- [i27]Jinjie Zhang, Yixuan Zhou, Rayan Saab:
Post-training Quantization for Neural Networks with Provable Guarantees. CoRR abs/2201.11113 (2022) - [i26]Mahta Mousavi, Eric Lybrand, Shuangquan Feng, Shuai Tang, Rayan Saab, Virginia de Sa:
Spectrally Adaptive Common Spatial Patterns. CoRR abs/2202.04542 (2022) - [i25]Johannes Maly, Rayan Saab:
A simple approach for quantizing neural networks. CoRR abs/2209.03487 (2022) - 2021
- [j11]Eric Lybrand, Rayan Saab:
A Greedy Algorithm for Quantizing Neural Networks. J. Mach. Learn. Res. 22: 156:1-156:38 (2021) - [c8]Jinjie Zhang, Rayan Saab:
Faster Binary Embeddings for Preserving Euclidean Distances. ICLR 2021 - [i24]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 abs/2103.13419 (2021) - [i23]Jinjie Zhang, Alexander Cloninger, Rayan Saab:
Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features. CoRR abs/2106.02614 (2021) - [i22]Eric Lybrand, Anna Ma, Rayan Saab:
On the Number of Faces and Radii of Cells Induced by Gaussian Spherical Tessellations. CoRR abs/2108.13523 (2021) - 2020
- [j10]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: 292-300 (2020) - [i21]Deanna Needell, Aaron A. Nelson, Rayan Saab, Palina Salanevich:
Random Vector Functional Link Networks for Function Approximation on Manifolds. CoRR abs/2007.15776 (2020) - [i20]Jinjie Zhang, Rayan Saab:
Faster Binary Embeddings for Preserving Euclidean Distances. CoRR abs/2010.00712 (2020) - [i19]Eric Lybrand, Rayan Saab:
A Greedy Algorithm for Quantizing Neural Networks. CoRR abs/2010.15979 (2020)
2010 – 2019
- 2019
- [i18]Mark A. Iwen, Eric Lybrand, Aaron A. Nelson, Rayan Saab:
New Algorithms and Improved Guarantees for One-Bit Compressed Sensing on Manifolds. CoRR abs/1902.03726 (2019) - [i17]Brian Preskitt, Rayan Saab:
Admissible Measurements and Robust Algorithms for Ptychography. CoRR abs/1910.03027 (2019) - 2018
- [j9]Deanna Needell, Rayan Saab, Tina Woolf:
Simple Classification Using Binary Data. J. Mach. Learn. Res. 19: 61:1-61:30 (2018) - [j8]Rayan Saab, Rongrong Wang, Özgür Yilmaz:
From Compressed Sensing to Compressed Bit-Streams: Practical Encoders, Tractable Decoders. IEEE Trans. Inf. Theory 64(9): 6098-6114 (2018) - [i16]Thang Huynh, Rayan Saab:
Fast binary embeddings, and quantized compressed sensing with structured matrices. CoRR abs/1801.08639 (2018) - 2017
- [c7]Deanna Needell, Rayan Saab, Tina Woolf:
Simple Object Classification Using Binary Data. AAAI Fall Symposia 2017: 218-224 - [i15]Joe-Mei Feng, Felix Krahmer, Rayan Saab:
Quantized Compressed Sensing for Partial Random Circulant Matrices. CoRR abs/1702.04711 (2017) - [i14]Deanna Needell, Rayan Saab, Tina Woolf:
Simple Classification using Binary Data. CoRR abs/1707.01945 (2017) - [i13]Eric Lybrand, Rayan Saab:
Quantization for Low-Rank Matrix Recovery. CoRR abs/1709.09803 (2017) - 2016
- [j7]Karin Knudson, Rayan Saab, Rachel A. Ward:
One-Bit Compressive Sensing With Norm Estimation. IEEE Trans. Inf. Theory 62(5): 2748-2758 (2016) - [i12]Rayan Saab, Rongrong Wang, Özgür Yilmaz:
From compressed sensing to compressed bit-streams: practical encoders, tractable decoders. CoRR abs/1604.00700 (2016) - [i11]Deanna Needell, Rayan Saab, Tina Woolf:
Weighted ℓ1-Minimization for Sparse Recovery under Arbitrary Prior Information. CoRR abs/1606.01295 (2016) - 2015
- [j6]Ingrid Daubechies, Rayan Saab:
A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions. IEEE Signal Process. Lett. 22(11): 2093-2096 (2015) - [c6]Rayan Saab, Rongrong Wang, Özgür Yilmaz:
Near-Optimal Compression for Compressed Sensing. DCC 2015: 113-122 - [c5]Hassan Mansour, Rayan Saab:
Weighted one-norm minimization with inaccurate support estimates: Sharp analysis via the null-space property. ICASSP 2015: 3317-3321 - [i10]Evan Chou, C. Sinan Güntürk, Felix Krahmer, Rayan Saab, Özgür Yilmaz:
Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems. CoRR abs/1502.05807 (2015) - [i9]Rayan Saab, Rongrong Wang, Özgür Yilmaz:
Quantization of compressive samples with stable and robust recovery. CoRR abs/1504.00087 (2015) - [i8]Ingrid Daubechies, Rayan Saab:
A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions. CoRR abs/1506.00179 (2015) - 2014
- [i7]Petros T. Boufounos, Laurent Jacques, Felix Krahmer, Rayan Saab:
Quantization and Compressive Sensing. CoRR abs/1405.1194 (2014) - [i6]Hassan Mansour, Rayan Saab:
Recovery Analysis for Weighted ℓ1-Minimization Using a Null Space Property. CoRR abs/1412.1565 (2014) - 2013
- [j5]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): 1-36 (2013) - [i5]Felix Krahmer, Rayan Saab, Özgür Yilmaz:
Sigma-Delta quantization of sub-Gaussian frame expansions and its application to compressed sensing. CoRR abs/1306.4549 (2013) - [i4]Mark A. Iwen, Rayan Saab:
Near-Optimal Encoding for Sigma-Delta Quantization of Finite Frame Expansions. CoRR abs/1307.2136 (2013) - 2012
- [j4]Felix Krahmer, Rayan Saab, Rachel A. Ward:
Root-Exponential Accuracy for Coarse Quantization of Finite Frame Expansions. IEEE Trans. Inf. Theory 58(2): 1069-1079 (2012) - [j3]Michael P. Friedlander, Hassan Mansour, Rayan Saab, Özgür Yilmaz:
Recovering Compressively Sampled Signals Using Partial Support Information. IEEE Trans. Inf. Theory 58(2): 1122-1134 (2012) - 2010
- [c4]C. Sinan Güntürk, Mark Lammers, Alexander M. Powell, Rayan Saab, Özgür Yilmaz:
Sobolev duals of random frames. CISS 2010: 1-5 - [c3]C. Sinan Güntürk, Mark Lammers, Alexander M. Powell, Rayan Saab, Özgür Yilmaz:
Sigma delta quantization for compressed sensing. CISS 2010: 1-6 - [c2]Hassan Mansour, Rayan Saab, Panos Nasiopoulos, Rabab Kreidieh Ward:
Color image desaturation using sparse reconstruction. ICASSP 2010: 778-781 - [i3]C. Sinan Güntürk, Alexander M. Powell, Rayan Saab, Özgür Yilmaz:
Sobolev Duals for Random Frames and Sigma-Delta Quantization of Compressed Sensing Measurements. CoRR abs/1002.0182 (2010) - [i2]Michael P. Friedlander, Hassan Mansour, Rayan Saab, Özgür Yilmaz:
Recovering Compressively Sampled Signals Using Partial Support Information. CoRR abs/1010.4612 (2010)
2000 – 2009
- 2009
- [j2]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): 29:1-29:16 (2009) - 2008
- [c1]Rayan Saab, Rick Chartrand, Özgür Yilmaz:
Stable sparse approximations via nonconvex optimization. ICASSP 2008: 3885-3888 - [i1]Rayan Saab, Özgür Yilmaz:
Sparse Recovery by Non-convex Optimization -- Instance Optimality. CoRR abs/0809.0745 (2008) - 2007
- [j1]Rayan Saab, Özgür Yilmaz, Martin J. McKeown, Rafeef Abugharbieh:
Underdetermined Anechoic Blind Source Separation via ellq-Basis-Pursuit With q<<1. IEEE Trans. Signal Process. 55(8): 4004-4017 (2007)
Coauthor Index
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