Shai Dekel

According to our database, Shai Dekel authored at least 34 papers between 2004 and 2024.

Collaborative distances:

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

2024

Wavelets Are All You Need for Autoregressive Image Generation.

Wael Mattar, Idan Levy, Nir Sharon, Shai Dekel

CoRR, 2024

2023

Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions.

Ido Ben-Shaul, Tomer Galanti, Shai Dekel

Trans. Mach. Learn. Res., 2023

Numerical Methods For PDEs Over Manifolds Using Spectral Physics Informed Neural Networks.

Yuval Zelig, Shai Dekel

CoRR, 2023

Reverse Engineering Self-Supervised Learning.

Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A physically-informed deep-learning model using time-reversal for locating a source from sparse and highly noisy sensors data.

Adar Kahana, Eli Turkel, Shai Dekel, Dan Givoli

J. Comput. Phys., 2022

Nearest Class-Center Simplification through Intermediate Layers.

Ido Ben-Shaul, Shai Dekel

Proceedings of the Topological, 2022

PR-DAD: Phase Retrieval Using Deep Auto-Decoders.

Shai Dekel, Leon Gugel

Proceedings of the 7th International Conference on Frontiers of Signal Processing, 2022

2021

Beyond the Courant-Friedrichs-Lewy condition: Numerical methods for the wave problem using deep learning.

Oded Ovadia, Adar Kahana, Eli Turkel, Shai Dekel

J. Comput. Phys., 2021

Sparsity-Probe: Analysis tool for Deep Learning Models.

Ido Ben-Shaul, Shai Dekel

CoRR, 2021

2020

Obstacle segmentation based on the wave equation and deep learning.

Adar Kahana, Eli Turkel, Shai Dekel, Dan Givoli

J. Comput. Phys., 2020

2018

Wavelet Decomposition of Gradient Boosting.

Shai Dekel, Oren Elisha, Ohad Morgan

CoRR, 2018

2017

A Mathematical Model for Adaptive Computed Tomography Sensing.

Oren Barkan, Jonathan Weill, Shai Dekel, Amir Averbuch

IEEE Trans. Computational Imaging, 2017

Function space analysis of deep learning representation layers.

Oren Elisha, Shai Dekel

CoRR, 2017

2016

Stable Support Recovery of Stream of Pulses With Application to Ultrasound Imaging.

Tamir Bendory, Avinoam David Bar-Zion, Dan Adam, Shai Dekel, Arie Feuer

IEEE Trans. Signal Process., 2016

Wavelet decompositions of Random Forests - smoothness analysis, sparse approximation and applications.

Oren Elisha, Shai Dekel

J. Mach. Learn. Res., 2016

Machine olfaction using time scattering of sensor multiresolution graphs.

Leonid Gugel, Yoel Shkolnisky, Shai Dekel

CoRR, 2016

2015

Super-Resolution on the Sphere Using Convex Optimization.

Tamir Bendory, Shai Dekel, Arie Feuer

IEEE Trans. Signal Process., 2015

Unified Convex Optimization Approach to Super-Resolution Based on Localized Kernels.

Tamir Bendory, Shai Dekel, Arie Feuer

CoRR, 2015

Computer-aided diagnostics in digital pathology: automated evaluation of early-phase pancreatic cancer in mice.

Leeor Langer, Yoav Binenbaum, Leonid Gugel, Moran Amit, Ziv Gil, Shai Dekel

Int. J. Comput. Assist. Radiol. Surg., 2015

2014

Exact recovery of non-uniform splines from the projection onto spaces of algebraic polynomials.

Tamir Bendory, Shai Dekel, Arie Feuer

J. Approx. Theory, 2014

Exact recovery of Dirac ensembles from the projection onto spaces of spherical harmonics.

Tamir Bendory, Shai Dekel, Arie Feuer

CoRR, 2014

Robust Recovery of Stream of Pulses using Convex Optimization.

Tamir Bendory, Shai Dekel, Arie Feuer

CoRR, 2014

2013

Adaptive Compressed Tomography Sensing.

Oren Barkan, Jonathan Weill, Amir Averbuch, Shai Dekel

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Adaptive Compressed Image Sensing Using Dictionaries.

Amir Averbuch, Shai Dekel, Shay Deutsch

SIAM J. Imaging Sci., 2012

On the analysis of anisotropic smoothness.

Shai Dekel

J. Approx. Theory, 2012

A Mathematical Model for Extremely Low Dose Adaptive Computed Tomography Acquisition.

Oren Barkan, Amir Averbuch, Shai Dekel, Yaniv Tenzer

Proceedings of the Mathematical Methods for Curves and Surfaces, 2012

2010

On the equivalence of the modulus of smoothness and the K-functional over convex domains.

Shai Dekel

J. Approx. Theory, 2010

2007

Low Bit-Rate Image Coding Using Adaptive Geometric Piecewise Polynomial Approximation.

Roman Kazinnik, Shai Dekel, Nira Dyn

IEEE Trans. Image Process., 2007

Image Coding With Geometric Wavelets.

Dror Alani, Amir Averbuch, Shai Dekel

IEEE Trans. Image Process., 2007

Multilevel preconditioning for partition of unity methods: some analytic concepts.

Wolfgang Dahmen, Shai Dekel, Pencho Petrushev

Numerische Mathematik, 2007

2005

Adaptive Multivariate Approximation Using Binary Space Partitions and Geometric Wavelets.

Shai Dekel, Dany Leviatan

SIAM J. Numer. Anal., 2005

2004

The Bramble-Hilbert Lemma for Convex Domains.

Shai Dekel, Dany Leviatan

SIAM J. Math. Anal., 2004

Whitney Estimates for Convex Domains with Applications to Multivariate Piecewise Polynomial Approximation.

Shai Dekel, Dany Leviatan

Found. Comput. Math., 2004

On Measuring the Efficiency of Kernel Operators in L_p(R^d).

Shai Dekel, Dany Leviatan

Adv. Comput. Math., 2004