155 citations · 1.6k across the 76 of their papers we have counts for
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cs.IT2026
The Sharp Phase Transition of Tyler's M-Estimator for Robust Subspace Recovery
Gilad Lerman, Teng Zhang
Robust Subspace Recovery (RSR) aims to identify an underlying d-dimensional subspace from a dataset heavily corrupted by outliers. Complexity-theoretic results establish a threshol…
cs.IT2018★ 65 cited
Graph Convolutional Neural Networks via Scattering
Dongmian Zou, Gilad Lerman
We generalize the scattering transform to graphs and consequently construct a convolutional neural network on graphs. We show that under certain conditions, any feature generated b…
cs.IT2012★ 83 cited
Robust computation of linear models by convex relaxation
Gilad Lerman, Michael McCoy, Joel A. Tropp +1
Consider a dataset of vector-valued observations that consists of noisy inliers, which are explained well by a low-dimensional subspace, along with some number of outliers. This wo…