Gilad Lerman

activity

19992026

most citedMedian K-flats for hybrid linear modeling with many outliers

155 citations · 1.6k across the 76 of their papers we have counts for

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4 papers · 1 filter

math.NA2025

Geometry-Preserving Encoder/Decoder in Latent Generative Models

Wonjun Lee, Riley C. W. O'Neill, Dongmian Zou +2

Generative modeling aims to generate new data samples that resemble a given dataset. When using diffusion models for this task, one of the main challenges is solving the problem in…

math.NA2023

Improved Convergence Factor of Windowed Anderson Acceleration for Symmetric Fixed-Point Iterations

Casey Garner, Gilad Lerman, Teng Zhang

This paper studies the commonly utilized windowed Anderson acceleration (AA) algorithm for fixed-point methods, $x^{(k + 1)} = q (x^{(k)})$ . It provides the first proof that when the op…

math.NA2019

Analysis and algorithms for $ℓ_{p}$ -based semi-supervised learning on graphs

Mauricio Flores, Jeff Calder, Gilad Lerman

This paper addresses theory and applications of $ℓ_{p}$ -based Laplacian regularization in semi-supervised learning. The graph $p$ -Laplacian for $p > 2$ has been proposed recently as…

math.NA2017★ 1 cited

Distributed Robust Subspace Recovery

Vahan Huroyan, Gilad Lerman

We propose distributed solutions to the problem of Robust Subspace Recovery (RSR). Our setting assumes a huge dataset in an ad hoc network without a central processor, where each n…

Geometry-Preserving Encoder/Decoder in Latent Generative Models

Improved Convergence Factor of Windowed Anderson Acceleration for Symmetric Fixed-Point Iterations

Analysis and algorithms for ℓp​-based semi-supervised learning on graphs

Distributed Robust Subspace Recovery

Analysis and algorithms for $ℓ_{p}$ -based semi-supervised learning on graphs