Rayan Saab

activity

20082026

most citedRandom Vector Functional Link Networks for Function Approximation on Manifolds

26 citations · 98 across the 31 of their papers we have counts for

collaborators

Showing 2021Show all

3 papers · 1 filter

math.PR2021

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

Eric Lybrand, Anna Ma, Rayan Saab

We study a geometric property related to spherical hyperplane tessellations in $R^{d}$ . We first consider a fixed $x$ on the Euclidean sphere and tessellations with $M \gg…

cs.LG2021★ 1 cited

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

Jinjie Zhang, Harish Kannan, Alexander Cloninger +1

We propose the use of low bit-depth Sigma-Delta and distributed noise-shaping methods for quantizing the Random Fourier features (RFFs) associated with shift-invariant kernels. We…

math.NA2021

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

Theodore Faust, Mark Iwen, Rayan Saab +1

Let $∥ A ∥_{m a x} := max_{i, j} ∣ A_{i, j} ∣$ denote the maximum magnitude of entries of a given matrix $A$ . In this paper we show that $$\max \left\{ \|U_r \|_{\max},\|V_r\|_{\max}…

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

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

On the ℓ∞-norms of the Singular Vectors of Arbitrary Powers of a Difference Matrix with Applications to Sigma-Delta Quantization

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