Shai Dekel - RankMe

41 papers A* 2Journal 36Unranked 3

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