Rayan Saab - RankMe

60 papers A* 1B 1Misc 5Journal 52Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beacon: Post-Training Quantization With Integrated Grid Selection. IEEE Signal Process. Lett. Shihao Zhang, Rayan Saab
2026	J	`jnl`	Low-Bit Quantization of Bandlimited Graph Signals via Iterative Methods. CoRR Felix Krahmer, He Lyu, Rayan Saab, Jinna Qian, Anna Veselovska, Rongrong Wang
2025	J	`jnl`	Accumulator-Aware Post-Training Quantization for Large Language Models. Trans. Mach. Learn. Res. Ian Colbert, Giuseppe Franco, Fabian Grob, Jinjie Zhang, Rayan Saab
2025	J	`jnl`	Beacon: Post-Training Quantization with Integrated Grid Selection. CoRR Shihao Zhang, Rayan Saab
2025	J	`jnl`	Provable Post-Training Quantization: Theoretical Analysis of OPTQ and Qronos. CoRR Haoyu Zhang, Shihao Zhang, Ian Colbert, Rayan Saab
2025	J	`jnl`	Qronos: Correcting the Past by Shaping the Future... in Post-Training Quantization. CoRR Shihao Zhang, Haoyu Zhang, Ian Colbert, Rayan Saab
2025	J	`jnl`	The Measure of Deception: An Analysis of Data Forging in Machine Unlearning. CoRR Rishabh Dixit, Yuan Hui, Rayan Saab
2025	J	`jnl`	Theoretical Guarantees for Low-Rank Compression of Deep Neural Networks. CoRR Shihao Zhang, Rayan Saab
2024	J	`jnl`	Accumulator-Aware Post-Training Quantization. CoRR Ian Colbert, Fabian Grob, Giuseppe Franco, Jinjie Zhang, Rayan Saab
2024	J	`jnl`	Corrigendum: Post-training Quantization for Neural Networks with Provable Guarantees. SIAM J. Math. Data Sci. Jinjie Zhang, Yixuan Zhou, Rayan Saab
2024	J	`jnl`	Random vector functional link networks for function approximation on manifolds. Frontiers Appl. Math. Stat. Deanna Needell, Aaron A. Nelson, Rayan Saab, Palina Salanevich, Olov Schavemaker
2024	J	`jnl`	Unified Stochastic Framework for Neural Network Quantization and Pruning. CoRR Haoyu Zhang, Rayan Saab
2023	J	`jnl`	Post-training Quantization for Neural Networks with Provable Guarantees. SIAM J. Math. Data Sci. Jinjie Zhang, Yixuan Zhou, Rayan Saab
2023	J	`jnl`	SPFQ: A Stochastic Algorithm and Its Error Analysis for Neural Network Quantization. CoRR Jinjie Zhang, Rayan Saab
2022	J	`jnl`	A simple approach for quantizing neural networks. CoRR Johannes Maly, Rayan Saab
2022	J	`jnl`	Post-training Quantization for Neural Networks with Provable Guarantees. CoRR Jinjie Zhang, Yixuan Zhou, Rayan Saab
2022	J	`jnl`	Spectrally Adaptive Common Spatial Patterns. CoRR Mahta Mousavi, Eric Lybrand, Shuangquan Feng, Shuai Tang, Rayan Saab, Virginia de Sa
2021	J	`jnl`	A Greedy Algorithm for Quantizing Neural Networks. J. Mach. Learn. Res. Eric Lybrand, Rayan Saab
2021	A*	`conf`	Faster Binary Embeddings for Preserving Euclidean Distances. ICLR Jinjie Zhang, Rayan Saab
2021	J	`jnl`	On the $\ell^\infty$-norms of the Singular Vectors of Arbitrary Powers of a Difference Matrix with Applications to Sigma-Delta Quantization. CoRR Theodore Faust, Mark A. Iwen, Rayan Saab, Rongrong Wang
2021	J	`jnl`	On the Number of Faces and Radii of Cells Induced by Gaussian Spherical Tessellations. CoRR Eric Lybrand, Anna Ma, Rayan Saab
2021	J	`jnl`	Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features. CoRR Jinjie Zhang, Alexander Cloninger, Rayan Saab
2020	J	`jnl`	A Greedy Algorithm for Quantizing Neural Networks. CoRR Eric Lybrand, Rayan Saab
2020	J	`jnl`	A direct solver for the phase retrieval problem in ptychographic imaging. Math. Comput. Simul. Nada Sissouno, Florian Boßmann, Frank Filbir, Mark A. Iwen, Maik Kahnt, Rayan Saab, Christian Schroer, Wolfgang zu Castell
2020	J	`jnl`	Faster Binary Embeddings for Preserving Euclidean Distances. CoRR Jinjie Zhang, Rayan Saab
2020	J	`jnl`	Random Vector Functional Link Networks for Function Approximation on Manifolds. CoRR Deanna Needell, Aaron A. Nelson, Rayan Saab, Palina Salanevich
2019	J	`jnl`	Admissible Measurements and Robust Algorithms for Ptychography. CoRR Brian Preskitt, Rayan Saab
2019	J	`jnl`	New Algorithms and Improved Guarantees for One-Bit Compressed Sensing on Manifolds. CoRR Mark A. Iwen, Eric Lybrand, Aaron A. Nelson, Rayan Saab
2018	J	`jnl`	Fast binary embeddings, and quantized compressed sensing with structured matrices. CoRR Thang Huynh, Rayan Saab
2018	J	`jnl`	From Compressed Sensing to Compressed Bit-Streams: Practical Encoders, Tractable Decoders. IEEE Trans. Inf. Theory Rayan Saab, Rongrong Wang, Özgür Yilmaz
2018	J	`jnl`	Simple Classification Using Binary Data. J. Mach. Learn. Res. Deanna Needell, Rayan Saab, Tina Woolf
2017	J	`jnl`	Quantization for Low-Rank Matrix Recovery. CoRR Eric Lybrand, Rayan Saab
2017	J	`jnl`	Quantized Compressed Sensing for Partial Random Circulant Matrices. CoRR Joe-Mei Feng, Felix Krahmer, Rayan Saab
2017	J	`jnl`	Simple Classification using Binary Data. CoRR Deanna Needell, Rayan Saab, Tina Woolf
2017	—	`conf`	Simple Object Classification Using Binary Data. AAAI Fall Symposia Deanna Needell, Rayan Saab, Tina Woolf
2016	J	`jnl`	From compressed sensing to compressed bit-streams: practical encoders, tractable decoders. CoRR Rayan Saab, Rongrong Wang, Özgür Yilmaz
2016	J	`jnl`	One-Bit Compressive Sensing With Norm Estimation. IEEE Trans. Inf. Theory Karin Knudson, Rayan Saab, Rachel A. Ward
2016	J	`jnl`	Weighted ℓ CoRR Deanna Needell, Rayan Saab, Tina Woolf
2015	J	`jnl`	A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions. CoRR Ingrid Daubechies, Rayan Saab
2015	J	`jnl`	A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions. IEEE Signal Process. Lett. Ingrid Daubechies, Rayan Saab
2015	B	`conf`	Near-Optimal Compression for Compressed Sensing. DCC Rayan Saab, Rongrong Wang, Özgür Yilmaz
2015	J	`jnl`	Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems. CoRR Evan Chou, C. Sinan Güntürk, Felix Krahmer, Rayan Saab, Özgür Yilmaz
2015	J	`jnl`	Quantization of compressive samples with stable and robust recovery. CoRR Rayan Saab, Rongrong Wang, Özgür Yilmaz
2015	Misc	`conf`	Weighted one-norm minimization with inaccurate support estimates: Sharp analysis via the null-space property. ICASSP Hassan Mansour, Rayan Saab
2014	J	`jnl`	Quantization and Compressive Sensing. CoRR Petros T. Boufounos, Laurent Jacques, Felix Krahmer, Rayan Saab
2014	J	`jnl`	Recovery Analysis for Weighted ℓ CoRR Hassan Mansour, Rayan Saab
2013	J	`jnl`	Near-Optimal Encoding for Sigma-Delta Quantization of Finite Frame Expansions. CoRR Mark A. Iwen, Rayan Saab
2013	J	`jnl`	Sigma-Delta quantization of sub-Gaussian frame expansions and its application to compressed sensing. CoRR Felix Krahmer, Rayan Saab, Özgür Yilmaz
2013	J	`jnl`	Sobolev Duals for Random Frames and ΣΔ Quantization of Compressed Sensing Measurements. Found. Comput. Math. C. Sinan Güntürk, Mark Lammers, Alexander M. Powell, Rayan Saab, Özgür Yilmaz
2012	J	`jnl`	Recovering Compressively Sampled Signals Using Partial Support Information. IEEE Trans. Inf. Theory Michael P. Friedlander, Hassan Mansour, Rayan Saab, Özgür Yilmaz
2012	J	`jnl`	Root-Exponential Accuracy for Coarse Quantization of Finite Frame Expansions. IEEE Trans. Inf. Theory Felix Krahmer, Rayan Saab, Rachel A. Ward
2010	Misc	`conf`	Color image desaturation using sparse reconstruction. ICASSP Hassan Mansour, Rayan Saab, Panos Nasiopoulos, Rabab Kreidieh Ward
2010	J	`jnl`	Recovering Compressively Sampled Signals Using Partial Support Information CoRR Michael P. Friedlander, Hassan Mansour, Rayan Saab, Özgür Yilmaz
2010	Misc	`conf`	Sigma delta quantization for compressed sensing. CISS C. Sinan Güntürk, Mark Lammers, Alexander M. Powell, Rayan Saab, Özgür Yilmaz
2010	J	`jnl`	Sobolev Duals for Random Frames and Sigma-Delta Quantization of Compressed Sensing Measurements CoRR C. Sinan Güntürk, Alexander M. Powell, Rayan Saab, Özgür Yilmaz
2010	Misc	`conf`	Sobolev duals of random frames. CISS C. Sinan Güntürk, Mark Lammers, Alexander M. Powell, Rayan Saab, Özgür Yilmaz
2009	J	`jnl`	Algorithm 890: Sparco: A Testing Framework for Sparse Reconstruction. ACM Trans. Math. Softw. Ewout van den Berg, Michael P. Friedlander, Gilles Hennenfent, Felix J. Herrmann, Rayan Saab, Özgür Yilmaz
2008	J	`jnl`	Sparse Recovery by Non-convex Optimization -- Instance Optimality CoRR Rayan Saab, Özgür Yilmaz
2008	Misc	`conf`	Stable sparse approximations via nonconvex optimization. ICASSP Rayan Saab, Rick Chartrand, Özgür Yilmaz
2007	J	`jnl`	Underdetermined Anechoic Blind Source Separation via ell IEEE Trans. Signal Process. Rayan Saab, Özgür Yilmaz, Martin J. McKeown, Rafeef Abugharbieh