Shai Dekel

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 24

Top Topics

Top Venues

J. Comput. Phys.

IEEE Trans. Signal Process.

J. Approx. Theory

Publications

Wael Mattar, Idan Levy, Nir Sharon, Shai Dekel
Wavelets Are All You Need for Autoregressive Image Generation. CoRR (2024)
Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun
Reverse Engineering Self-Supervised Learning. NeurIPS (2023)
Yuval Zelig, Shai Dekel
Numerical Methods For PDEs Over Manifolds Using Spectral Physics Informed Neural Networks. CoRR (2023)
Ido Ben-Shaul, Tomer Galanti, Shai Dekel
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions. Trans. Mach. Learn. Res. 2023 (2023)
Ido Ben-Shaul, Tomer Galanti, Shai Dekel
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions. CoRR (2023)
Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun
Reverse Engineering Self-Supervised Learning. CoRR (2023)
Shai Dekel, Leon Gugel
PR-DAD: Phase Retrieval Using Deep Auto-Decoders. ICFSP (2022)
Adar Kahana, Eli Turkel, Shai Dekel, Dan Givoli
A physically-informed deep-learning model using time-reversal for locating a source from sparse and highly noisy sensors data. J. Comput. Phys. 470 (2022)
Ido Ben-Shaul, Shai Dekel
Nearest Class-Center Simplification through Intermediate Layers. TAG-ML (2022)
Ido Ben-Shaul, Shai Dekel
Nearest Class-Center Simplification through Intermediate Layers. CoRR (2022)
Leon Gugel, Shai Dekel
PR-DAD: Phase Retrieval Using Deep Auto-Decoders. CoRR (2022)
Ido Ben-Shaul, Shai Dekel
Sparsity-Probe: Analysis tool for Deep Learning Models. CoRR (2021)
Oded Ovadia, Adar Kahana, Eli Turkel, Shai Dekel
Beyond the Courant-Friedrichs-Lewy condition: Numerical methods for the wave problem using deep learning. J. Comput. Phys. 442 (2021)
Adar Kahana, Eli Turkel, Shai Dekel, Dan Givoli
Obstacle segmentation based on the wave equation and deep learning. J. Comput. Phys. 413 (2020)
Shai Dekel, Oren Elisha, Ohad Morgan
Wavelet Decomposition of Gradient Boosting. CoRR (2018)
Oren Elisha, Shai Dekel
Function space analysis of deep learning representation layers. CoRR (2017)
Oren Barkan, Jonathan Weill, Shai Dekel, Amir Averbuch
A Mathematical Model for Adaptive Computed Tomography Sensing. IEEE Trans. Computational Imaging 3 (4) (2017)
Tamir Bendory, Avinoam David Bar-Zion, Dan Adam, Shai Dekel, Arie Feuer
Stable Support Recovery of Stream of Pulses With Application to Ultrasound Imaging. IEEE Trans. Signal Process. 64 (14) (2016)
Leonid Gugel, Yoel Shkolnisky, Shai Dekel
Machine olfaction using time scattering of sensor multiresolution graphs. CoRR (2016)
Oren Elisha, Shai Dekel
Wavelet decompositions of Random Forests - smoothness analysis, sparse approximation and applications. J. Mach. Learn. Res. 17 (2016)
Leeor Langer, Yoav Binenbaum, Leonid Gugel, Moran Amit, Ziv Gil, Shai Dekel
Computer-aided diagnostics in digital pathology: automated evaluation of early-phase pancreatic cancer in mice. Int. J. Comput. Assist. Radiol. Surg. 10 (7) (2015)
Tamir Bendory, Shai Dekel, Arie Feuer
Super-Resolution on the Sphere Using Convex Optimization. IEEE Trans. Signal Process. 63 (9) (2015)
Tamir Bendory, Shai Dekel, Arie Feuer
Unified Convex Optimization Approach to Super-Resolution Based on Localized Kernels. CoRR (2015)
Tamir Bendory, Avinoam David Bar-Zion, Dan Adam, Shai Dekel, Arie Feuer
Stable Support Recovery of Stream of Pulses with Application to Ultrasound Imaging. CoRR (2015)
Tamir Bendory, Shai Dekel, Arie Feuer
Exact recovery of non-uniform splines from the projection onto spaces of algebraic polynomials. CoRR (2014)
Tamir Bendory, Shai Dekel, Arie Feuer
Exact recovery of non-uniform splines from the projection onto spaces of algebraic polynomials. J. Approx. Theory 182 (2014)
Tamir Bendory, Shai Dekel, Arie Feuer
Robust Recovery of Stream of Pulses using Convex Optimization. CoRR (2014)
Tamir Bendory, Shai Dekel, Arie Feuer
Super-resolution on the Sphere using Convex Optimization. CoRR (2014)
Tamir Bendory, Shai Dekel, Arie Feuer
Exact recovery of Dirac ensembles from the projection onto spaces of spherical harmonics. CoRR (2014)
Oren Barkan, Jonathan Weill, Amir Averbuch, Shai Dekel
Adaptive Compressed Tomography Sensing. CVPR (2013)
Shai Dekel
On the analysis of anisotropic smoothness. J. Approx. Theory 164 (8) (2012)
Amir Averbuch, Shai Dekel, Shay Deutsch
Adaptive Compressed Image Sensing Using Dictionaries. SIAM J. Imaging Sci. 5 (1) (2012)
Oren Barkan, Amir Averbuch, Shai Dekel, Yaniv Tenzer
A Mathematical Model for Extremely Low Dose Adaptive Computed Tomography Acquisition. MMCS (2012)
Shai Dekel
On the equivalence of the modulus of smoothness and the K-functional over convex domains. J. Approx. Theory 162 (2) (2010)
Wolfgang Dahmen, Shai Dekel, Pencho Petrushev
Multilevel preconditioning for partition of unity methods: some analytic concepts. Numerische Mathematik 107 (3) (2007)
Roman Kazinnik, Shai Dekel, Nira Dyn
Low Bit-Rate Image Coding Using Adaptive Geometric Piecewise Polynomial Approximation. IEEE Trans. Image Process. 16 (9) (2007)
Dror Alani, Amir Averbuch, Shai Dekel
Image Coding With Geometric Wavelets. IEEE Trans. Image Process. 16 (1) (2007)
Shai Dekel, Dany Leviatan
Adaptive Multivariate Approximation Using Binary Space Partitions and Geometric Wavelets. SIAM J. Numer. Anal. 43 (2) (2005)
Shai Dekel, Dany Leviatan
The Bramble-Hilbert Lemma for Convex Domains. SIAM J. Math. Anal. 35 (5) (2004)
Shai Dekel, Dany Leviatan
Whitney Estimates for Convex Domains with Applications to Multivariate Piecewise Polynomial Approximation. Found. Comput. Math. 4 (4) (2004)
Shai Dekel, Dany Leviatan
). Adv. Comput. Math. 20 (1-3) (2004)