Yariv Aizenbud

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 12

Top Topics

Binary Matrices

Factor Analysis

Top Venues

SIAM J. Math. Data Sci.

Comput. Math. Appl.

J. Comput. Appl. Math.

Publications

Ariel Jaffe, Noah Amsel, Yariv Aizenbud, Boaz Nadler, Joseph T. Chang, Yuval Kluger
Spectral Neighbor Joining for Reconstruction of Latent Tree Models. SIAM J. Math. Data Sci. 3 (1) (2021)
Yariv Aizenbud, Ariel Jaffe, Meng Wang, Amber Hu, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger
Spectral Top-Down Recovery of Latent Tree Models. CoRR (2021)
Yariv Aizenbud, Boris Landa, Yoel Shkolnisky
Rank-one multi-reference factor analysis. Stat. Comput. 31 (1) (2021)
Yariv Aizenbud, Barak Sober
Non-Parametric Estimation of Manifolds from Noisy Data. CoRR (2021)
Barak Sober, Yariv Aizenbud, David Levin
Approximation of functions over manifolds: A Moving Least-Squares approach. J. Comput. Appl. Math. 383 (2021)
Yariv Aizenbud, Ofir Lindenbaum, Yuval Kluger
Probabilistic Robust Autoencoders for Anomaly Detection. CoRR (2021)
Yariv Aizenbud, Boris Landa, Yoel Shkolnisky
Rank-one Multi-Reference Factor Analysis. CoRR (2019)
Barak Sober, Yariv Aizenbud, David Levin
Approximation of Functions over Manifolds: A Moving Least-Squares Approach. CoRR (2017)
Yariv Aizenbud, Amir Averbuch, Gil Shabat, Guy Ziv
Similarity Search Over Graphs Using Localized Spectral Analysis. CoRR (2017)
Yariv Aizenbud, Yoel Shkolnisky
A max-cut approach to heterogeneity in cryo-electron microscopy. CoRR (2016)
Yariv Aizenbud, Gil Shabat, Amir Averbuch
Randomized LU Decomposition Using Sparse Projections. CoRR (2016)
Yariv Aizenbud, Gil Shabat, Amir Averbuch
Randomized LU decomposition using sparse projections. Comput. Math. Appl. 72 (9) (2016)