Boris Landa - RankMe

19 papers A* 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise. CoRR Keyi Li, Yuval Kluger, Boris Landa
2025	A*	`conf`	Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data. ICML Erez Peterfreund, Ofir Lindenbaum, Yuval Kluger, Boris Landa
2024	J	`jnl`	Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets. CoRR Boris Landa, Yuval Kluger, Rong Ma
2023	J	`jnl`	Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling. SIAM J. Math. Data Sci. Boris Landa, Xiuyuan Cheng
2022	J	`jnl`	Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise. CoRR Xiuyuan Cheng, Boris Landa
2022	J	`jnl`	Biwhitening Reveals the Rank of a Count Matrix. SIAM J. Math. Data Sci. Boris Landa, Thomas T. C. K. Zhang, Yuval Kluger
2022	J	`jnl`	Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling. CoRR Boris Landa, Xiuyuan Cheng
2021	J	`jnl`	Biwhitening Reveals the Rank of a Count Matrix. CoRR Boris Landa, Thomas T. C. K. Zhang, Yuval Kluger
2021	J	`jnl`	Doubly Stochastic Normalization of the Gaussian Kernel Is Robust to Heteroskedastic Noise. SIAM J. Math. Data Sci. Boris Landa, Ronald R. Coifman, Yuval Kluger
2021	J	`jnl`	Rank-one multi-reference factor analysis. Stat. Comput. Yariv Aizenbud, Boris Landa, Yoel Shkolnisky
2020	J	`jnl`	Doubly-Stochastic Normalization of the Gaussian Kernel is Robust to Heteroskedastic Noise. CoRR Boris Landa, Ronald R. Coifman, Yuval Kluger
2020	J	`jnl`	Scaling positive random matrices: concentration and asymptotic convergence. CoRR Boris Landa
2019	J	`jnl`	Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles. CoRR Nir Sharon, Joe Kileel, Yuehaw Khoo, Boris Landa, Amit Singer
2019	J	`jnl`	Multi-reference factor analysis: low-rank covariance estimation under unknown translations. CoRR Boris Landa, Yoel Shkolnisky
2019	J	`jnl`	Rank-one Multi-Reference Factor Analysis. CoRR Yariv Aizenbud, Boris Landa, Yoel Shkolnisky
2018	J	`jnl`	The Steerable Graph Laplacian and its Application to Filtering Image Datasets. SIAM J. Imaging Sci. Boris Landa, Yoel Shkolnisky
2018	J	`jnl`	The steerable graph Laplacian and its application to filtering image data-sets. CoRR Boris Landa, Yoel Shkolnisky
2017	J	`jnl`	Steerable Principal Components for Space-Frequency Localized Images. SIAM J. Imaging Sci. Boris Landa, Yoel Shkolnisky
2016	J	`jnl`	Steerable Principal Components for Space-Frequency Localized Images. CoRR Boris Landa, Yoel Shkolnisky