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Yariv Aizenbud
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2020 – today
- 2021
- [j4]Barak Sober, Yariv Aizenbud, David Levin:
Approximation of functions over manifolds: A Moving Least-Squares approach. J. Comput. Appl. Math. 383: 113140 (2021) - [j3]Yariv Aizenbud
, Boris Landa, Yoel Shkolnisky:
Rank-one multi-reference factor analysis. Stat. Comput. 31(1): 8 (2021) - [j2]Ariel Jaffe, Noah Amsel, Yariv Aizenbud, Boaz Nadler
Spectral Neighbor Joining for Reconstruction of Latent Tree Models. SIAM J. Math. Data Sci. 3(1): 113-141 (2021) - [i8]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 abs/2102.13276 (2021) - [i7]Yariv Aizenbud, Barak Sober:
Non-Parametric Estimation of Manifolds from Noisy Data. CoRR abs/2105.04754 (2021) - [i6]Yariv Aizenbud, Ofir Lindenbaum, Yuval Kluger:
Probabilistic Robust Autoencoders for Anomaly Detection. CoRR abs/2110.00494 (2021)
2010 – 2019
- 2019
- [i5]Yariv Aizenbud, Boris Landa, Yoel Shkolnisky:
Rank-one Multi-Reference Factor Analysis. CoRR abs/1905.12442 (2019) - 2017
- [i4]Yariv Aizenbud, Amir Averbuch, Gil Shabat, Guy Ziv:
Similarity Search Over Graphs Using Localized Spectral Analysis. CoRR abs/1707.03311 (2017) - [i3]Barak Sober, Yariv Aizenbud, David Levin:
Approximation of Functions over Manifolds: A Moving Least-Squares Approach. CoRR abs/1711.00765 (2017) - 2016
- [j1]Yariv Aizenbud, Gil Shabat, Amir Averbuch:
Randomized LU decomposition using sparse projections. Comput. Math. Appl. 72(9): 2525-2534 (2016) - [i2]Yariv Aizenbud, Gil Shabat, Amir Averbuch:
Randomized LU Decomposition Using Sparse Projections. CoRR abs/1601.04280 (2016) - [i1]Yariv Aizenbud, Yoel Shkolnisky:
A max-cut approach to heterogeneity in cryo-electron microscopy. CoRR abs/1609.01100 (2016)
Coauthor Index
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