Yariv Aizenbud

According to our database, Yariv Aizenbud authored at least 13 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

SDSR: A Spectral Divide-and-Conquer Approach for Species Tree Reconstruction.

Ortal Reshef, Ofer Glassman, Or Zuk, Yariv Aizenbud, Boaz Nadler, Ariel Jaffe

CoRR, March, 2026

Moving Least Squares without Quasi-Uniformity: A Stochastic Approach.

Shir Tapiro-Moshe, Yariv Aizenbud, Barak Sober

CoRR, January, 2026

2025

Estimation of Local Geometric Structure on Manifolds from Noisy Data.

Yariv Aizenbud, Barak Sober

J. Mach. Learn. Res., 2025

2024

Transductive and Inductive Outlier Detection with Robust Autoencoders.

Ofir Lindenbaum, Yariv Aizenbud, Yuval Kluger

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2021

Spectral Neighbor Joining for Reconstruction of Latent Tree Models.

Ariel Jaffe, Noah Amsel, Yariv Aizenbud, Boaz Nadler, Joseph T. Chang, Yuval Kluger

SIAM J. Math. Data Sci., 2021

Rank-one multi-reference factor analysis.

Yariv Aizenbud, Boris Landa, Yoel Shkolnisky

Stat. Comput., 2021

Approximation of functions over manifolds: A Moving Least-Squares approach.

Barak Sober, Yariv Aizenbud, David Levin

J. Comput. Appl. Math., 2021

Probabilistic Robust Autoencoders for Anomaly Detection.

Yariv Aizenbud, Ofir Lindenbaum, Yuval Kluger

CoRR, 2021

Non-Parametric Estimation of Manifolds from Noisy Data.

Yariv Aizenbud, Barak Sober

CoRR, 2021

Spectral Top-Down Recovery of Latent Tree Models.

Yariv Aizenbud, Ariel Jaffe, Meng Wang, Amber Hu, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger

CoRR, 2021

2017

Similarity Search Over Graphs Using Localized Spectral Analysis.

Yariv Aizenbud, Amir Averbuch, Gil Shabat, Guy Ziv

CoRR, 2017

2016

A max-cut approach to heterogeneity in cryo-electron microscopy.

Yariv Aizenbud, Yoel Shkolnisky

CoRR, 2016

Randomized LU decomposition using sparse projections.

Yariv Aizenbud, Gil Shabat, Amir Averbuch

Comput. Math. Appl., 2016