Randomized LU decomposition using sparse projections. - Yariv Aizenbud; Gil Shabat; Amir Averbuch (Comput. Math. Appl., 2016)

A max-cut approach to heterogeneity in cryo-electron microscopy. - Yariv Aizenbud; Yoel Shkolnisky (CoRR, 2016)

Similarity Search Over Graphs Using Localized Spectral Analysis. - Yariv Aizenbud; Amir Averbuch; Gil Shabat; Guy Ziv (CoRR, 2017)

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)

Non-Parametric Estimation of Manifolds from Noisy Data. - Yariv Aizenbud; Barak Sober (CoRR, 2021)

Probabilistic Robust Autoencoders for Anomaly Detection. - Yariv Aizenbud; Ofir Lindenbaum; Yuval Kluger (CoRR, 2021)

Approximation of functions over manifolds: A Moving Least-Squares approach. - Barak Sober; Yariv Aizenbud; David Levin (J. Comput. Appl. Math., 2021)

Rank-one multi-reference factor analysis. - Yariv Aizenbud; Boris Landa; Yoel Shkolnisky (Stat. Comput., 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)

Transductive and Inductive Outlier Detection with Robust Autoencoders. - Ofir Lindenbaum; Yariv Aizenbud; Yuval Kluger (UAI, 2024)