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Boris Landa
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2020 – today
- 2024
- [i11]Boris Landa, Yuval Kluger, Rong Ma:
Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets. CoRR abs/2407.01718 (2024) - 2023
- [j6]Boris Landa, Xiuyuan Cheng:
Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling. SIAM J. Math. Data Sci. 5(3): 589-614 (2023) - 2022
- [j5]Boris Landa, Thomas T. C. K. Zhang, Yuval Kluger:
Biwhitening Reveals the Rank of a Count Matrix. SIAM J. Math. Data Sci. 4(4): 1420-1446 (2022) - [i10]Xiuyuan Cheng, Boris Landa:
Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise. CoRR abs/2206.11386 (2022) - [i9]Boris Landa, Xiuyuan Cheng:
Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling. CoRR abs/2209.08004 (2022) - 2021
- [j4]Yariv Aizenbud, Boris Landa, Yoel Shkolnisky:
Rank-one multi-reference factor analysis. Stat. Comput. 31(1): 8 (2021) - [j3]Boris Landa, Ronald R. Coifman, Yuval Kluger:
Doubly Stochastic Normalization of the Gaussian Kernel Is Robust to Heteroskedastic Noise. SIAM J. Math. Data Sci. 3(1): 388-413 (2021) - [i8]Boris Landa, Thomas T. C. K. Zhang, Yuval Kluger:
Biwhitening Reveals the Rank of a Count Matrix. CoRR abs/2103.13840 (2021) - 2020
- [i7]Boris Landa, Ronald R. Coifman, Yuval Kluger:
Doubly-Stochastic Normalization of the Gaussian Kernel is Robust to Heteroskedastic Noise. CoRR abs/2006.00402 (2020) - [i6]Boris Landa:
Scaling positive random matrices: concentration and asymptotic convergence. CoRR abs/2012.06393 (2020)
2010 – 2019
- 2019
- [i5]Yariv Aizenbud, Boris Landa, Yoel Shkolnisky:
Rank-one Multi-Reference Factor Analysis. CoRR abs/1905.12442 (2019) - [i4]Boris Landa, Yoel Shkolnisky:
Multi-reference factor analysis: low-rank covariance estimation under unknown translations. CoRR abs/1906.00211 (2019) - [i3]Nir Sharon, Joe Kileel, Yuehaw Khoo, Boris Landa, Amit Singer:
Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles. CoRR abs/1907.05377 (2019) - 2018
- [j2]Boris Landa, Yoel Shkolnisky:
The Steerable Graph Laplacian and its Application to Filtering Image Datasets. SIAM J. Imaging Sci. 11(4): 2254-2304 (2018) - [i2]Boris Landa, Yoel Shkolnisky:
The steerable graph Laplacian and its application to filtering image data-sets. CoRR abs/1802.01894 (2018) - 2017
- [j1]Boris Landa, Yoel Shkolnisky:
Steerable Principal Components for Space-Frequency Localized Images. SIAM J. Imaging Sci. 10(2): 508-534 (2017) - 2016
- [i1]Boris Landa, Yoel Shkolnisky:
Steerable Principal Components for Space-Frequency Localized Images. CoRR abs/1608.02702 (2016)
Coauthor Index
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