155 citations · 1.6k across the 76 of their papers we have counts for
78 papers
Specific Algorithmic Interpretability of Neural Networks: A Case Study on Textures
Yanglin Zhang, Anneke von Seeger, Gilad Lerman +1
We develop a principled framework for constructing neural networks whose specific parameter realizations admit an explicit algorithmic interpretation. Existing algorithm-inspired a…
Recovery Theory for Projected Power Iterations in Permutation Synchronization
Vahan Huroyan, Gilad Lerman
We study the projected power method (PPM) for synchronizing \(n\) unknown permutations of \(m\) objects under a possibly sparse uniform corruption model. Each pair is observed with…
Feature Learning for the High Dimensional Stationary Schödinger Equation with Deep Ritz Method
Yao Yao, Yulong Lu, Gilad Lerman
This paper investigates feature learning within the framework of the deep Ritz method for solving the stationary Schrödinger equation with Neumann boundary conditions. We first ana…
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…
QuadSync: Quadrifocal Tensor Synchronization via Tucker Decomposition
Daniel Miao, Gilad Lerman, Joe Kileel
In structure from motion, quadrifocal tensors capture more information than their pairwise counterparts (essential matrices), yet they have often been thought of as impractical and…
Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization
Shaohan Li, Yunpeng Shi, Gilad Lerman
We introduce Cycle-Sync, a robust and global framework for estimating camera poses (both rotations and locations). Our core innovation is a location solver that adapts message-pass…