Gilad Lerman - RankMe

97 papers A* 12A 5B 1Journal 71Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	QuadSync: Quadrifocal Tensor Synchronization via Tucker Decomposition. CoRR Daniel Miao, Gilad Lerman, Joe Kileel
2025	J	`jnl`	Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization. CoRR Shaohan Li, Yunpeng Shi, Gilad Lerman
2025	J	`jnl`	Geometry-Preserving Encoder/Decoder in Latent Generative Models. CoRR Wonjun Lee, Riley C. W. O'Neill, Dongmian Zou, Jeff Calder, Gilad Lerman
2025	J	`jnl`	Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery. CoRR Gilad Lerman, Kang Li, Tyler Maunu, Teng Zhang
2025	J	`jnl`	Learning to Charge More: A Theoretical Study of Collusion by Q-Learning Agents. CoRR Cristian Chica, Yinglong Guo, Gilad Lerman
2025	J	`jnl`	Monotone Generative Modeling via a Gromov-Monge Embedding. SIAM J. Math. Data Sci. Wonjun Lee, Yifei Yang, Dongmian Zou, Gilad Lerman
2025	J	`jnl`	Stein Discrepancy for Unsupervised Domain Adaptation. CoRR Anneke von Seeger, Dongmian Zou, Gilad Lerman
2024	A*	`conf`	A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion. CVPR Feng Yu, Teng Zhang, Gilad Lerman
2024	J	`jnl`	A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion. CoRR Feng Yu, Teng Zhang, Gilad Lerman
2024	J	`jnl`	Artificial Intelligence and Algorithmic Price Collusion in Two-sided Markets. CoRR Cristian Chica, Yinglong Guo, Gilad Lerman
2024	A*	`conf`	Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization. CVPR Shaohan Li, Yunpeng Shi, Gilad Lerman
2024	J	`jnl`	Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization. CoRR Shaohan Li, Yunpeng Shi, Gilad Lerman
2024	—	`conf`	Improving Hyperbolic Representations via Gromov-Wasserstein Regularization. ECCV (82) Yifei Yang, Wonjun Lee, Dongmian Zou, Gilad Lerman
2024	J	`jnl`	Improving Hyperbolic Representations via Gromov-Wasserstein Regularization. CoRR Yifei Yang, Wonjun Lee, Dongmian Zou, Gilad Lerman
2024	J	`jnl`	Spectrally Constrained Optimization. J. Sci. Comput. Casey Garner, Gilad Lerman, Shuzhong Zhang
2024	A*	`conf`	Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor. NeurIPS Daniel Miao, Gilad Lerman, Joe Kileel
2024	J	`jnl`	Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor. CoRR Daniel Miao, Gilad Lerman, Joe Kileel
2024	A	`conf`	The effect of Leaky ReLUs on the training and generalization of overparameterized networks. AISTATS Yinglong Guo, Shaohan Li, Gilad Lerman
2024	J	`jnl`	The effect of Leaky ReLUs on the training and generalization of overparameterized networks. CoRR Yinglong Guo, Shaohan Li, Gilad Lerman
2023	A	`conf`	An Unpooling Layer for Graph Generation. AISTATS Yinglong Guo, Dongmian Zou, Gilad Lerman
2023	J	`jnl`	Depth Descent Synchronization in ${{\,\mathrm{\text {SO}}\,}}(D)$. Int. J. Comput. Vis. Tyler Maunu, Gilad Lerman
2023	J	`jnl`	Improved Convergence Rates of Anderson Acceleration for a Large Class of Fixed-Point Iterations. CoRR Casey Garner, Gilad Lerman, Teng Zhang
2023	J	`jnl`	Monotone Generative Modeling via a Gromov-Monge Embedding. CoRR Wonjun Lee, Yifei Yang, Dongmian Zou, Gilad Lerman
2023	A	`conf`	Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection. AISTATS Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
2022	J	`jnl`	An Unpooling Layer for Graph Generation. CoRR Yinglong Guo, Dongmian Zou, Gilad Lerman
2022	J	`jnl`	Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness. CoRR Casey Garner, Gilad Lerman, Shuzhong Zhang
2022	A*	`conf`	Fast, Accurate and Memory-Efficient Partial Permutation Synchronization. CVPR Shaohan Li, Yunpeng Shi, Gilad Lerman
2022	J	`jnl`	Fast, Accurate and Memory-Efficient Partial Permutation Synchronization. CoRR Shaohan Li, Yunpeng Shi, Gilad Lerman
2022	J	`jnl`	Robust Group Synchronization via Cycle-Edge Message Passing. Found. Comput. Math. Gilad Lerman, Yunpeng Shi
2022	A*	`conf`	Robust Group Synchronization via Quadratic Programming. ICML Yunpeng Shi, Cole M. Wyeth, Gilad Lerman
2022	J	`jnl`	Robust Group Synchronization via Quadratic Programming. CoRR Yunpeng Shi, Cole Wyeth, Gilad Lerman
2022	J	`jnl`	Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching. CoRR Yunpeng Shi, Shaohan Li, Tyler Maunu, Gilad Lerman
2022	J	`jnl`	Stochastic and Private Nonconvex Outlier-Robust PCA. CoRR Tyler Maunu, Chenyu Yu, Gilad Lerman
2022	—	`conf`	Stochastic and Private Nonconvex Outlier-Robust PCAs. MSML Tyler Maunu, Chenyu Yu, Gilad Lerman
2021	—	`conf`	Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching. 3DV Yunpeng Shi, Shaohan Li, Tyler Maunu, Gilad Lerman
2020	J	`jnl`	A Provably Robust Multiple Rotation Averaging Scheme for SO(2). CoRR Tyler Maunu, Gilad Lerman
2020	A*	`conf`	Message Passing Least Squares Framework and its Application to Rotation Synchronization. ICML Yunpeng Shi, Gilad Lerman
2020	J	`jnl`	Message Passing Least Squares Framework and its Application to Rotation Synchronization. CoRR Yunpeng Shi, Gilad Lerman
2020	J	`jnl`	Novelty Detection via Robust Variational Autoencoding. CoRR Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
2020	A*	`conf`	Robust Multi-Object Matching via Iterative Reweighting of the Graph Connection Laplacian. NeurIPS Yunpeng Shi, Shaohan Li, Gilad Lerman
2020	J	`jnl`	Robust Multi-object Matching via Iterative Reweighting of the Graph Connection Laplacian. CoRR Yunpeng Shi, Shaohan Li, Gilad Lerman
2020	A*	`conf`	Robust Subspace Recovery Layer for Unsupervised Anomaly Detection. ICLR Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
2020	J	`jnl`	Solving Jigsaw Puzzles by the Graph Connection Laplacian. SIAM J. Imaging Sci. Vahan Huroyan, Gilad Lerman, Hau-Tieng Wu
2019	J	`jnl`	A Well-Tempered Landscape for Non-convex Robust Subspace Recovery. J. Mach. Learn. Res. Tyler Maunu, Teng Zhang, Gilad Lerman
2019	J	`jnl`	Algorithms for 𝓁 CoRR Mauricio Flores Rios, Jeff Calder, Gilad Lerman
2019	B	`conf`	Encoding robust representation for graph generation. IJCNN Dongmian Zou, Gilad Lerman
2019	J	`jnl`	Robust Group Synchronization via Cycle-Edge Message Passing. CoRR Gilad Lerman, Yunpeng Shi
2019	J	`jnl`	Robust Subspace Recovery Layer for Unsupervised Anomaly Detection. CoRR Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
2019	J	`jnl`	Robust Subspace Recovery with Adversarial Outliers. CoRR Tyler Maunu, Gilad Lerman
2018	J	`jnl`	An Overview of Robust Subspace Recovery. CoRR Gilad Lerman, Tyler Maunu
2018	J	`jnl`	An Overview of Robust Subspace Recovery. Proc. IEEE Gilad Lerman, Tyler Maunu
2018	J	`jnl`	Distributed Robust Subspace Recovery. SIAM J. Sci. Comput. Vahan Huroyan, Gilad Lerman
2018	A*	`conf`	Estimation of Camera Locations in Highly Corrupted Scenarios: All About That Base, No Shape Trouble. CVPR Yunpeng Shi, Gilad Lerman
2018	J	`jnl`	Estimation of Camera Locations in Highly Corrupted Scenarios: All About that Base, No Shape Trouble. CoRR Yunpeng Shi, Gilad Lerman
2018	J	`jnl`	Exact Camera Location Recovery by Least Unsquared Deviations. SIAM J. Imaging Sci. Gilad Lerman, Yunpeng Shi, Teng Zhang
2018	J	`jnl`	Graph Convolutional Neural Networks via Scattering. CoRR Dongmian Zou, Gilad Lerman
2018	J	`jnl`	Graph Generation via Scattering. CoRR Dongmian Zou, Gilad Lerman
2018	J	`jnl`	Phase transition in random tensors with multiple spikes. CoRR Wei-Kuo Chen, Madeline Handschy, Gilad Lerman
2018	J	`jnl`	Solving Jigsaw Puzzles By the Graph Connection Laplacian. CoRR Vahan Huroyan, Gilad Lerman, Hau-Tieng Wu
2017	J	`jnl`	A Well-Tempered Landscape for Non-convex Robust Subspace Recovery. CoRR Tyler Maunu, Teng Zhang, Gilad Lerman
2017	J	`jnl`	Distributed Robust Subspace Recovery. CoRR Vahan Huroyan, Gilad Lerman
2017	J	`jnl`	Exact Camera Location Recovery by Least Unsquared Deviations. CoRR Gilad Lerman, Yunpeng Shi, Teng Zhang
2017	J	`jnl`	Spectral Clustering Based on Local PCA. J. Mach. Learn. Res. Ery Arias-Castro, Gilad Lerman, Teng Zhang
2016	J	`jnl`	Enhancing feature tracking with gyro regularization. Image Vis. Comput. Bryan Poling, Gilad Lerman
2015	J	`jnl`	Enhancing Feature Tracking With Gyro Regularization. CoRR Bryan Poling, Gilad Lerman
2015	A	`conf`	Multi-Manifold Modeling in Non-Euclidean spaces. AISTATS Xu Wang, Konstantinos Slavakis, Gilad Lerman
2015	J	`jnl`	Robust Computation of Linear Models by Convex Relaxation. Found. Comput. Math. Gilad Lerman, Michael B. McCoy, Joel A. Tropp, Teng Zhang
2014	J	`jnl`	A New Approach to Two-View Motion Segmentation Using Global Dimension Minimization. Int. J. Comput. Vis. Bryan Poling, Gilad Lerman
2014	J	`jnl`	A novel M-estimator for robust PCA. J. Mach. Learn. Res. Teng Zhang, Gilad Lerman
2014	J	`jnl`	Better Feature Tracking Through Subspace Constraints. CoRR Bryan Poling, Gilad Lerman, Arthur Szlam
2014	A*	`conf`	Better Feature Tracking through Subspace Constraints. CVPR Bryan Poling, Gilad Lerman, Arthur Szlam
2014	J	`jnl`	Fast algorithm for robust subspace recovery. CoRR Gilad Lerman, Tyler Maunu
2014	J	`jnl`	Riemannian Multi-Manifold Modeling. CoRR Xu Wang, Konstantinos Slavakis, Gilad Lerman
2014	A	`conf`	Robust Stochastic Principal Component Analysis. AISTATS John Goes, Teng Zhang, Raman Arora, Gilad Lerman
2013	J	`jnl`	A New Approach To Two-View Motion Segmentation Using Global Dimension Minimization CoRR Bryan Poling, Gilad Lerman
2013	A*	`conf`	Fast Subspace Search via Grassmannian Based Hashing. ICCV Xu Wang, Stefan Atev, John Wright, Gilad Lerman
2013	J	`jnl`	Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting. SIAM J. Imaging Sci. Yi Wang, Arthur Szlam, Gilad Lerman
2012	J	`jnl`	Hybrid Linear Modeling via Local Best-Fit Flats. Int. J. Comput. Vis. Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
2012	—	`conf`	On the Sample Complexity of Robust PCA. NIPS Matthew Coudron, Gilad Lerman
2012	J	`jnl`	Robust computation of linear models, or How to find a needle in a haystack CoRR Gilad Lerman, Michael B. McCoy, Joel A. Tropp, Teng Zhang
2010	J	`jnl`	Hybrid Linear Modeling via Local Best-fit Flats CoRR Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
2010	—	`conf`	Invited Talk Abstracts. AAAI Fall Symposium: Manifold Learning and Its Applications Yi Ma, Fei Sha, Lawrence Carin, Gilad Lerman, Neil D. Lawrence
2010	J	`jnl`	Randomized hybrid linear modeling by local best-fit flats CoRR Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
2010	A*	`conf`	Randomized hybrid linear modeling by local best-fit flats. CVPR Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman
2010	J	`jnl`	lp-Recovery of the Most Significant Subspace among Multiple Subspaces with Outliers CoRR Gilad Lerman, Teng Zhang
2009	J	`jnl`	Foundations of a Multi-way Spectral Clustering Framework for Hybrid Linear Modeling. Found. Comput. Math. Guangliang Chen, Gilad Lerman
2009	J	`jnl`	Kernel Spectral Curvature Clustering (KSCC) CoRR Guangliang Chen, Stefan Atev, Gilad Lerman
2009	—	`conf`	Kernel Spectral Curvature Clustering (KSCC). ICCV Workshops Guangliang Chen, Stefan Atev, Gilad Lerman
2009	—	`conf`	Median K-Flats for hybrid linear modeling with many outliers. ICCV Workshops Teng Zhang, Arthur Szlam, Gilad Lerman
2009	J	`jnl`	Median K-flats for hybrid linear modeling with many outliers CoRR Teng Zhang, Arthur Szlam, Gilad Lerman
2009	J	`jnl`	Motion Segmentation by SCC on the Hopkins 155 Database CoRR Guangliang Chen, Gilad Lerman
2009	—	`conf`	Motion segmentation by SCC on the hopkins 155 database. ICCV Workshops Guangliang Chen, Gilad Lerman
2009	J	`jnl`	On d-dimensional d-semimetrics and simplex-type inequalities for high-dimensional sine functions. J. Approx. Theory Gilad Lerman, J. Tyler Whitehouse
2009	J	`jnl`	Spectral Curvature Clustering (SCC). Int. J. Comput. Vis. Guangliang Chen, Gilad Lerman
2007	J	`jnl`	Functional genomics via multiscale analysis: application to gene expression and ChIP-on-chip data. Bioinform. Gilad Lerman, Joseph McQuown, Alexandre Blais, Brian D. Dynlacht, Guangliang Chen, Bud Mishra
1999	J	`jnl`	Emerging Challenges in Computational Topology CoRR 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
1998	J	`jnl`	Asymptotic Theory of Large Deviations for Markov Chains. SIAM J. Appl. Math. Gilad Lerman, Zeev Schuss