Publications

1. 1.     L. Lahat, C. Sharoni, G. Van Dam, N. Sharon. The Relationship Between Perceptions of Social Service Quality and Well-being. To appear in Social Policy & Administration, 2025.
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3. 2.     W. Mattar, I. Levy, N. Sharon, S. Dekel. Wavelets Are All You Need for Autoregressive Image Generation. To appear in Pure and Applied Functional Analysis, 2025.
   
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1. 3.     I. Hadi, T. Bendory, N. Sharon. SE(3)  Synchronization by Eigenvectors of Dual Quaternion Matrices. Information and Inference: A Journal of the IMA. 13(3), iaae014, 2024.
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6. 4.    H. Ben Zion Vardi, N. Dyn, N. Sharon. Hermite subdivision schemes for manifold-valued Hermite data. Computer Aided Geometric Design. 102342. 2024.
   

5.    Y. Khoo, S. Paul, N. Sharon. Deep Neural Network Prior for Orbit Recovery from Method of Moments. Journal of Computational and Applied Mathematics 115782, 2024.

1. 6.    N. Sharon, R. Sherbu Cohen, H. Wendland . On multiscale quasi-interpolation of scattered scalar- and manifold-valued functions. SIAM Journal on Scientific Computing. 45(5), A2458-A2482, 2023

• 7.    H. Ben Zion Vardi, N. Dyn, N. Sharon. Geometric Hermit Interpolation in $R^n$ by refinements. Advances in Computational Mathematics 49(38). 2023

1. 8.    T. Bendory, I. Hadi, N. Sharon. Compactification of the Rigid Motions Group in Image Processing. SIAM Journal on Imaging Sciences 15(3), 1041-1078. 2022

• 9.    A. Abas, T. Bendory, N. Sharon. The generalized method of moments for multireference alignment. IEEE Transactions on Signal Processing, 70, 1377-1388. 2022

• 10.    T. Bendory, D. Edidin,  W. Leeb, N. Sharon. Dihedral multireference alignment. IEEE Transactions on Information Theory 68(5), 3489-3499. 2022

• 11.    W. Mattar and N. Sharon. Pyramid transform of manifold data via subdivision operators. IMA Journal on Numerical Analysis. https://doi.org/10.1093/imanum/drab095. 2021.

• 12.    A. Heimowitz, N. Sharon, and A. Singer. Centering noisy images with application to cryo-EM. SIAM Journal on Imaging Sciences, 14(2), 689-716, 2021

• 13.    T. Bendory, A. Jaffe, W. Leeb, N. Sharon, A. Singer. Super-resolution multireference alignment. Information and Inference: a Journal of the IMA,  iaab003, https://doi.org/10.1093/imaiai/iaab003, 2021

• 14.    V. Peiris, N. Sharon, N. Sukhorukova J. Ugon. Rational approximation and its application to improving deep learning classifiers. Applied Mathematics and Computation, 389:125560, 2021

• 15.    N. Sharon, J. Kileel, Y. Khoo, B. Landa and A. Singer. Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles. Inverse Problems, 36(4), 044003, 2020

• 16.    R. Mitz, N. Sharon, and Y. Shkolnisky. Out-of-sample extension based on rank-one updating with partial spectrum. SIAM Journal on Matrix Analysis and Applications, 40(3): 973-997, 2019

• 17.    E. Abbe, T. Bendory,  W. Leeb, J. M. Pereira, N. Sharon, and A. Singer. Multireference alignment is easier with an aperiodic translation distribution.IEEE Transactions on Information Theory, 65(6), 3565-3584, 2018

• 18.    N. Sharon and Y. Shkolnisky. Evaluating non-analytic functions of matrices. Journal of Mathematical Analysis and Applications, 462(1):613–636, 2018

• 19.    O. Ozyesil, N. Sharon, and A. Singer. Synchronization over Cartan motion groups via contraction. SIAM Journal on Applied Algebra and Geometry (SIAGA), 2(2): 207-241, 2018

• 20.    N. Dyn and N. Sharon. Manifold-valued subdivision schemes based on geodesic inductive averaging. Journal of Computational and Applied Mathematics, 311:54–67, 2017

• 21.    N. Dyn and N. Sharon. A global approach to the refinement of manifold data. Mathematics of Computation, 86(303):375–395, 2017

• 22.    V. May, Y. Keller, N. Sharon, and Y. Shkolnisky. An algorithm for improving non-local means operators via low-rank approximation. IEEE Transactions on Image Processing, 25(3):1340–1353, 2016

• 23.    N. Dyn, A. Heard, K. Hormann, and N. Sharon. Univariate subdivision schemes for noisy data with geometric applications. Computer Aided Geometric Design,  37:85–104, 2015

• 24.    N. Sharon and Y. Shkolnisky. A class of laplacian multiwavelets bases for high-dimensional data. Applied and Computational Harmonic Analysis, 38(3):420–451, 2015

• 25.    N. Sharon and U. Itai. Approximation schemes for functions of positive-definite matrix values. IMA Journal of Numerical Analysis, 33(4):1436–1468, 2013

• 26.    U. Itai and N. Sharon. Subdivision schemes for positive definite matrices. Foundations of Computational Mathematics, 13(3):347–369, 2013

27.    N. Sharon and N. Dyn. Bivariate interpolation based on univariate subdivision schemes. Journal of Approximation Theory, 164(5):709–730, 2012


Peer-review conferences

1. A. Banerjee, H. Lee, N. Sharon, C. Moosmüller. Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging. AISTATS 2025.

Unpublished

1. N.  Sharon  and  J.  Zandberg.  Strategic  alliances  under  risk  adjusted  payoffs. SSRN, 2017. URL https://ssrn.com/abstract=3020968.

2  N. Dyn, U. Itai, and N. Sharon. Approximation operators for matrix-valued functions based on matrix decomposition. 2014. URL https://arxiv.org/abs/1611.03893.

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         U.S.-Israel Binational Science Foundation (BSF)

 
     NSF-BSF joint program


     TAU-Swinburne Research Collaboration




  German Research Foundation (DFG)