Yariv Aizenbud

16 papers A 1Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Moving Least Squares without Quasi-Uniformity: A Stochastic Approach.
CoRR
Shir Tapiro-Moshe, Yariv Aizenbud, Barak Sober
2026 J jnl
SDSR: A Spectral Divide-and-Conquer Approach for Species Tree Reconstruction.
CoRR
Ortal Reshef, Ofer Glassman, Or Zuk, Yariv Aizenbud, Boaz Nadler, Ariel Jaffe
2025 J jnl
Estimation of Local Geometric Structure on Manifolds from Noisy Data.
J. Mach. Learn. Res.
Yariv Aizenbud, Barak Sober
2024 A conf
Transductive and Inductive Outlier Detection with Robust Autoencoders.
UAI
Ofir Lindenbaum, Yariv Aizenbud, Yuval Kluger
2021 J jnl
Approximation of functions over manifolds: A Moving Least-Squares approach.
J. Comput. Appl. Math.
Barak Sober, Yariv Aizenbud, David Levin
2021 J jnl
Non-Parametric Estimation of Manifolds from Noisy Data.
CoRR
Yariv Aizenbud, Barak Sober
2021 J jnl
Probabilistic Robust Autoencoders for Anomaly Detection.
CoRR
Yariv Aizenbud, Ofir Lindenbaum, Yuval Kluger
2021 J jnl
Rank-one multi-reference factor analysis.
Stat. Comput.
Yariv Aizenbud, Boris Landa, Yoel Shkolnisky
2021 J jnl
Spectral Neighbor Joining for Reconstruction of Latent Tree Models.
SIAM J. Math. Data Sci.
Ariel Jaffe, Noah Amsel, Yariv Aizenbud, Boaz Nadler, Joseph T. Chang, Yuval Kluger
2021 J jnl
Spectral Top-Down Recovery of Latent Tree Models.
CoRR
Yariv Aizenbud, Ariel Jaffe, Meng Wang, Amber Hu, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger
2019 J jnl
Rank-one Multi-Reference Factor Analysis.
CoRR
Yariv Aizenbud, Boris Landa, Yoel Shkolnisky
2017 J jnl
Approximation of Functions over Manifolds: A Moving Least-Squares Approach.
CoRR
Barak Sober, Yariv Aizenbud, David Levin
2017 J jnl
Similarity Search Over Graphs Using Localized Spectral Analysis.
CoRR
Yariv Aizenbud, Amir Averbuch, Gil Shabat, Guy Ziv
2016 J jnl
A max-cut approach to heterogeneity in cryo-electron microscopy.
CoRR
Yariv Aizenbud, Yoel Shkolnisky
2016 J jnl
Randomized LU Decomposition Using Sparse Projections.
CoRR
Yariv Aizenbud, Gil Shabat, Amir Averbuch
2016 J jnl
Randomized LU decomposition using sparse projections.
Comput. Math. Appl.
Yariv Aizenbud, Gil Shabat, Amir Averbuch