1 citations · 1 across the 4 of their papers we have counts for
5 papers
Spectrally Adaptive Common Spatial Patterns
Mahta Mousavi, Eric Lybrand, Shuangquan Feng +3
The method of Common Spatial Patterns (CSP) is widely used for feature extraction of electroencephalography (EEG) data, such as in motor imagery brain-computer interface (BCI) syst…
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 . We first consider a fixed on the Euclidean sphere and tessellations with $M \gg…
A Greedy Algorithm for Quantizing Neural Networks
Eric Lybrand, Rayan Saab
We propose a new computationally efficient method for quantizing the weights of pre- trained neural networks that is general enough to handle both multi-layer perceptrons and convo…
New Algorithms and Improved Guarantees for One-Bit Compressed Sensing on Manifolds
Mark Iwen, Eric Lybrand, Aaron Nelson +1
We study the problem of approximately recovering signals on a manifold from one-bit linear measurements drawn from either a Gaussian ensemble, partial circulant ensemble, or bounde…
Quantization for Low-Rank Matrix Recovery
Eric Lybrand, Rayan Saab
We study Sigma-Delta quantization methods coupled with appropriate reconstruction algorithms for digitizing randomly sampled low-rank matrices. We show that the reconstruction erro…