Gilad Lerman

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 53

Top Topics

Quadratic Program

Feature Tracking

Novelty Detection

Top Venues

J. Mach. Learn. Res.

Publications

Yinglong Guo, Shaohan Li, Gilad Lerman
The effect of Leaky ReLUs on the training and generalization of overparameterized networks. AISTATS (2024)
Yifei Yang, Wonjun Lee, Dongmian Zou, Gilad Lerman
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization. CoRR (2024)
Shaohan Li, Yunpeng Shi, Gilad Lerman
Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization. CoRR (2024)
Cristian Chica, Yinglong Guo, Gilad Lerman
Artificial Intelligence and Algorithmic Price Collusion in Two-sided Markets. CoRR (2024)
Yinglong Guo, Shaohan Li, Gilad Lerman
The effect of Leaky ReLUs on the training and generalization of overparameterized networks. CoRR (2024)
Feng Yu, Teng Zhang, Gilad Lerman
A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion. CoRR (2024)
Casey Garner, Gilad Lerman, Shuzhong Zhang
Spectrally Constrained Optimization. J. Sci. Comput. 100 (3) (2024)
Wonjun Lee, Yifei Yang, Dongmian Zou, Gilad Lerman
Monotone Generative Modeling via a Gromov-Monge Embedding. CoRR (2023)
Yinglong Guo, Dongmian Zou, Gilad Lerman
An Unpooling Layer for Graph Generation. AISTATS (2023)
Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection. AISTATS (2023)
Casey Garner, Gilad Lerman, Teng Zhang
Improved Convergence Rates of Anderson Acceleration for a Large Class of Fixed-Point Iterations. CoRR (2023)
Tyler Maunu, Gilad Lerman
Depth Descent Synchronization in ${{\,\mathrm{\text {SO}}\,}}(D)$. Int. J. Comput. Vis. 131 (4) (2023)
Yunpeng Shi, Cole M. Wyeth, Gilad Lerman
Robust Group Synchronization via Quadratic Programming. ICML (2022)
Yunpeng Shi, Shaohan Li, Tyler Maunu, Gilad Lerman
Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching. CoRR (2022)
Tyler Maunu, Chenyu Yu, Gilad Lerman
Stochastic and Private Nonconvex Outlier-Robust PCAs. MSML (2022)
Tyler Maunu, Chenyu Yu, Gilad Lerman
Stochastic and Private Nonconvex Outlier-Robust PCA. CoRR (2022)
Gilad Lerman, Yunpeng Shi
Robust Group Synchronization via Cycle-Edge Message Passing. Found. Comput. Math. 22 (6) (2022)
Shaohan Li, Yunpeng Shi, Gilad Lerman
Fast, Accurate and Memory-Efficient Partial Permutation Synchronization. CoRR (2022)
Yunpeng Shi, Cole Wyeth, Gilad Lerman
Robust Group Synchronization via Quadratic Programming. CoRR (2022)
Shaohan Li, Yunpeng Shi, Gilad Lerman
Fast, Accurate and Memory-Efficient Partial Permutation Synchronization. CVPR (2022)
Yinglong Guo, Dongmian Zou, Gilad Lerman
An Unpooling Layer for Graph Generation. CoRR (2022)
Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
Robust Vector Quantized-Variational Autoencoder. CoRR (2022)
Casey Garner, Gilad Lerman, Shuzhong Zhang
Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness. CoRR (2022)
Yunpeng Shi, Shaohan Li, Tyler Maunu, Gilad Lerman
Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching. 3DV (2021)
Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
Novelty Detection via Robust Variational Autoencoding. CoRR (2020)
Yunpeng Shi, Gilad Lerman
Message Passing Least Squares Framework and its Application to Rotation Synchronization. ICML (2020)
Yunpeng Shi, Shaohan Li, Gilad Lerman
Robust Multi-object Matching via Iterative Reweighting of the Graph Connection Laplacian. CoRR (2020)
Yunpeng Shi, Gilad Lerman
Message Passing Least Squares Framework and its Application to Rotation Synchronization. CoRR (2020)
Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection. ICLR (2020)
Tyler Maunu, Gilad Lerman
A Provably Robust Multiple Rotation Averaging Scheme for SO(2). CoRR (2020)
Yunpeng Shi, Shaohan Li, Gilad Lerman
Robust Multi-Object Matching via Iterative Reweighting of the Graph Connection Laplacian. NeurIPS (2020)
Vahan Huroyan, Gilad Lerman, Hau-Tieng Wu
Solving Jigsaw Puzzles by the Graph Connection Laplacian. SIAM J. Imaging Sci. 13 (4) (2020)
Tyler Maunu, Gilad Lerman
Robust Subspace Recovery with Adversarial Outliers. CoRR (2019)
Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection. CoRR (2019)
Gilad Lerman, Yunpeng Shi
Robust Group Synchronization via Cycle-Edge Message Passing. CoRR (2019)
Dongmian Zou, Gilad Lerman
Encoding robust representation for graph generation. IJCNN (2019)
Tyler Maunu, Teng Zhang, Gilad Lerman
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery. J. Mach. Learn. Res. 20 (2019)
Mauricio Flores Rios, Jeff Calder, Gilad Lerman
-based semi-supervised learning on graphs. CoRR (2019)
Dongmian Zou, Gilad Lerman
Graph Generation via Scattering. CoRR (2018)
Gilad Lerman, Tyler Maunu
An Overview of Robust Subspace Recovery. Proc. IEEE 106 (8) (2018)
Vahan Huroyan, Gilad Lerman
Distributed Robust Subspace Recovery. SIAM J. Sci. Comput. 40 (5) (2018)
Wei-Kuo Chen, Madeline Handschy, Gilad Lerman
Phase transition in random tensors with multiple spikes. CoRR (2018)
Gilad Lerman, Tyler Maunu
An Overview of Robust Subspace Recovery. CoRR (2018)
Yunpeng Shi, Gilad Lerman
Estimation of Camera Locations in Highly Corrupted Scenarios: All About that Base, No Shape Trouble. CoRR (2018)
Gilad Lerman, Yunpeng Shi, Teng Zhang
Exact Camera Location Recovery by Least Unsquared Deviations. SIAM J. Imaging Sci. 11 (4) (2018)
Vahan Huroyan, Gilad Lerman, Hau-Tieng Wu
Solving Jigsaw Puzzles By the Graph Connection Laplacian. CoRR (2018)
Dongmian Zou, Gilad Lerman
Graph Convolutional Neural Networks via Scattering. CoRR (2018)
Yunpeng Shi, Gilad Lerman
Estimation of Camera Locations in Highly Corrupted Scenarios: All About That Base, No Shape Trouble. CVPR (2018)
Tyler Maunu, Teng Zhang, Gilad Lerman
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery. CoRR (2017)
Vahan Huroyan, Gilad Lerman
Distributed Robust Subspace Recovery. CoRR (2017)
Ery Arias-Castro, Gilad Lerman, Teng Zhang
Spectral Clustering Based on Local PCA. J. Mach. Learn. Res. 18 (2017)
Gilad Lerman, Yunpeng Shi, Teng Zhang
Exact Camera Location Recovery by Least Unsquared Deviations. CoRR (2017)
Bryan Poling, Gilad Lerman
Enhancing feature tracking with gyro regularization. Image Vis. Comput. 50 (2016)
Gilad Lerman, Michael B. McCoy, Joel A. Tropp, Teng Zhang
Robust Computation of Linear Models by Convex Relaxation. Found. Comput. Math. 15 (2) (2015)
Bryan Poling, Gilad Lerman
Enhancing Feature Tracking With Gyro Regularization. CoRR (2015)
Xu Wang, Konstantinos Slavakis, Gilad Lerman
Multi-Manifold Modeling in Non-Euclidean spaces. AISTATS (2015)
Bryan Poling, Gilad Lerman, Arthur Szlam
Better Feature Tracking through Subspace Constraints. CVPR (2014)
Gilad Lerman, Tyler Maunu
Fast algorithm for robust subspace recovery. CoRR (2014)
Teng Zhang, Gilad Lerman
A novel M-estimator for robust PCA. J. Mach. Learn. Res. 15 (1) (2014)
John Goes, Teng Zhang, Raman Arora, Gilad Lerman
Robust Stochastic Principal Component Analysis. AISTATS (2014)
Bryan Poling, Gilad Lerman
A New Approach to Two-View Motion Segmentation Using Global Dimension Minimization. Int. J. Comput. Vis. 108 (3) (2014)
Bryan Poling, Gilad Lerman, Arthur Szlam
Better Feature Tracking Through Subspace Constraints. CoRR (2014)
Xu Wang, Konstantinos Slavakis, Gilad Lerman
Riemannian Multi-Manifold Modeling. CoRR (2014)
Bryan Poling, Gilad Lerman
A New Approach To Two-View Motion Segmentation Using Global Dimension Minimization CoRR (2013)
Yi Wang, Arthur Szlam, Gilad Lerman
Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting. SIAM J. Imaging Sci. 6 (1) (2013)
Xu Wang, Stefan Atev, John Wright, Gilad Lerman
Fast Subspace Search via Grassmannian Based Hashing. ICCV (2013)
Matthew Coudron, Gilad Lerman
On the Sample Complexity of Robust PCA. NIPS (2012)
Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
Hybrid Linear Modeling via Local Best-Fit Flats. Int. J. Comput. Vis. 100 (3) (2012)
Gilad Lerman, Michael B. McCoy, Joel A. Tropp, Teng Zhang
Robust computation of linear models, or How to find a needle in a haystack CoRR (2012)
Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
Randomized hybrid linear modeling by local best-fit flats CoRR (2010)
Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
Hybrid Linear Modeling via Local Best-fit Flats CoRR (2010)
Gilad Lerman, Teng Zhang
lp-Recovery of the Most Significant Subspace among Multiple Subspaces with Outliers CoRR (2010)
Yi Ma, Fei Sha, Lawrence Carin, Gilad Lerman, Neil D. Lawrence
Invited Talk Abstracts. AAAI Fall Symposium: Manifold Learning and Its Applications (2010)
Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
Randomized hybrid linear modeling by local best-fit flats. CVPR (2010)
Guangliang Chen, Gilad Lerman
Motion segmentation by SCC on the hopkins 155 database. ICCV Workshops (2009)
Teng Zhang, Arthur Szlam, Gilad Lerman
Median K-Flats for hybrid linear modeling with many outliers. ICCV Workshops (2009)
Teng Zhang, Arthur Szlam, Gilad Lerman
Median K-flats for hybrid linear modeling with many outliers CoRR (2009)
Gilad Lerman, J. Tyler Whitehouse
On d-dimensional d-semimetrics and simplex-type inequalities for high-dimensional sine functions. J. Approx. Theory 156 (1) (2009)
Guangliang Chen, Gilad Lerman
Foundations of a Multi-way Spectral Clustering Framework for Hybrid Linear Modeling. Found. Comput. Math. 9 (5) (2009)
Guangliang Chen, Stefan Atev, Gilad Lerman
Kernel Spectral Curvature Clustering (KSCC). ICCV Workshops (2009)
Guangliang Chen, Stefan Atev, Gilad Lerman
Kernel Spectral Curvature Clustering (KSCC) CoRR (2009)
Guangliang Chen, Gilad Lerman
Motion Segmentation by SCC on the Hopkins 155 Database CoRR (2009)
Guangliang Chen, Gilad Lerman
Spectral Curvature Clustering (SCC). Int. J. Comput. Vis. 81 (3) (2009)
Gilad Lerman, Joseph McQuown, Alexandre Blais, Brian D. Dynlacht, Guangliang Chen, Bud Mishra
Functional genomics via multiscale analysis: application to gene expression and ChIP-on-chip data. Bioinform. 23 (3) (2007)
Marshall W. Bern, David Eppstein, Pankaj K. Agarwal, Nina Amenta, L. Paul Chew, Tamal K. Dey, David P. Dobkin, Herbert Edelsbrunner, Cindy Grimm, Leonidas J. Guibas, John Harer, Joel Hass, Andrew Hicks, Carroll K. Johnson, Gilad Lerman, David Letscher, Paul E. Plassmann, Eric Sedgwick, Jack Snoeyink, Jeff Weeks, Chee-Keng Yap, Denis Zorin
Emerging Challenges in Computational Topology CoRR (1999)
Gilad Lerman, Zeev Schuss
Asymptotic Theory of Large Deviations for Markov Chains. SIAM J. Appl. Math. 58 (6) (1998)