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Shai Dekel
Wael Mattar Idan Levy Nir Sharon Shai Dekel Wavelets Are All You Need for Autoregressive Image Generation. 2024 abs/2406.19997 CoRR https://doi.org/10.48550/arXiv.2406.19997 db/journals/corr/corr2406.html#abs-2406-19997 streams/journals/corr
Ido Ben-Shaul Tomer Galanti Shai Dekel Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions. 2023 2023 Trans. Mach. Learn. Res. https://openreview.net/forum?id=sWQJfb2GSk db/journals/tmlr/tmlr2023.html#Ben-ShaulGD23
Ido Ben-Shaul Ravid Shwartz-Ziv Tomer Galanti Shai Dekel Yann LeCun Reverse Engineering Self-Supervised Learning. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/b63ad8c24354b0e5bcb7aea16490beab-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#Ben-ShaulSGDL23
Ido Ben-Shaul Tomer Galanti Shai Dekel Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions. 2023 abs/2301.04605 CoRR https://doi.org/10.48550/arXiv.2301.04605 db/journals/corr/corr2301.html#abs-2301-04605
Yuval Zelig Shai Dekel Numerical Methods For PDEs Over Manifolds Using Spectral Physics Informed Neural Networks. 2023 abs/2302.05322 CoRR https://doi.org/10.48550/arXiv.2302.05322 db/journals/corr/corr2302.html#abs-2302-05322
Ido Ben-Shaul Ravid Shwartz-Ziv Tomer Galanti Shai Dekel Yann LeCun Reverse Engineering Self-Supervised Learning. 2023 abs/2305.15614 CoRR https://doi.org/10.48550/arXiv.2305.15614 db/journals/corr/corr2305.html#abs-2305-15614
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. 111592 2022 470 J. Comput. Phys. https://doi.org/10.1016/j.jcp.2022.111592 db/journals/jcphy/jcphy470.html#KahanaTDG22
Shai Dekel Leon Gugel PR-DAD: Phase Retrieval Using Deep Auto-Decoders. 165-172 2022 ICFSP https://doi.org/10.1109/ICFSP55781.2022.9924739 conf/icfsp/2022 db/conf/icfsp/icfsp2022.html#DekelG22 Ido Ben-Shaul Shai Dekel Nearest Class-Center Simplification through Intermediate Layers. 37-47 2022 TAG-ML https://proceedings.mlr.press/v196/ben-shaul22a.html conf/tagml/2022 db/conf/tagml/tagml2022.html#Ben-ShaulD22
Ido Ben-Shaul Shai Dekel Nearest Class-Center Simplification through Intermediate Layers. 2022 abs/2201.08924 CoRR https://arxiv.org/abs/2201.08924 db/journals/corr/corr2201.html#abs-2201-08924
Leon Gugel Shai Dekel PR-DAD: Phase Retrieval Using Deep Auto-Decoders. 2022 abs/2204.09051 CoRR https://doi.org/10.48550/arXiv.2204.09051 db/journals/corr/corr2204.html#abs-2204-09051
Oded Ovadia Adar Kahana Eli Turkel Shai Dekel Beyond the Courant-Friedrichs-Lewy condition: Numerical methods for the wave problem using deep learning. 110493 2021 442 J. Comput. Phys. https://doi.org/10.1016/j.jcp.2021.110493 db/journals/jcphy/jcphy442.html#OvadiaKTD21
Ido Ben-Shaul Shai Dekel Sparsity-Probe: Analysis tool for Deep Learning Models. 2021 abs/2105.06849 CoRR https://arxiv.org/abs/2105.06849 db/journals/corr/corr2105.html#abs-2105-06849
Adar Kahana Eli Turkel Shai Dekel Dan Givoli Obstacle segmentation based on the wave equation and deep learning. 109458 2020 413 J. Comput. Phys. https://doi.org/10.1016/j.jcp.2020.109458 db/journals/jcphy/jcphy413.html#KahanaTDG20
Shai Dekel Oren Elisha Ohad Morgan Wavelet Decomposition of Gradient Boosting. 2018 abs/1805.02642 CoRR http://arxiv.org/abs/1805.02642 db/journals/corr/corr1805.html#abs-1805-02642
Oren Barkan Jonathan Weill Shai Dekel Amir Averbuch A Mathematical Model for Adaptive Computed Tomography Sensing. 551-565 2017 3 IEEE Trans. Computational Imaging 4 https://doi.org/10.1109/TCI.2017.2736788 db/journals/tci/tci3.html#BarkanWDA17
Oren Elisha Shai Dekel Function space analysis of deep learning representation layers. 2017 abs/1710.03263 CoRR http://arxiv.org/abs/1710.03263 db/journals/corr/corr1710.html#abs-1710-03263
Oren Elisha Shai Dekel Wavelet decompositions of Random Forests - smoothness analysis, sparse approximation and applications. 198:1-198:38 2016 17 J. Mach. Learn. Res. https://jmlr.org/papers/v17/15-203.html db/journals/jmlr/jmlr17.html#ElishaD16
Tamir Bendory Avinoam David Bar-Zion Dan Adam Shai Dekel Arie Feuer Stable Support Recovery of Stream of Pulses With Application to Ultrasound Imaging. 3750-3759 2016 64 IEEE Trans. Signal Process. 14 https://doi.org/10.1109/TSP.2016.2552500 db/journals/tsp/tsp64.html#BendoryBADF16
Leonid Gugel Yoel Shkolnisky Shai Dekel Machine olfaction using time scattering of sensor multiresolution graphs. 2016 abs/1602.04358 CoRR http://arxiv.org/abs/1602.04358 db/journals/corr/corr1602.html#GugelSD16
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. 1043-1054 2015 10 Int. J. Comput. Assist. Radiol. Surg. 7 https://doi.org/10.1007/s11548-014-1122-9 https://www.wikidata.org/entity/Q40231669 db/journals/cars/cars10.html#LangerBGAGD15
Tamir Bendory Shai Dekel Arie Feuer Super-Resolution on the Sphere Using Convex Optimization. 2253-2262 2015 63 IEEE Trans. Signal Process. 9 https://doi.org/10.1109/TSP.2015.2399861 db/journals/tsp/tsp63.html#BendoryDF15
Tamir Bendory Shai Dekel Arie Feuer Unified Convex Optimization Approach to Super-Resolution Based on Localized Kernels. 2015 abs/1501.01825 CoRR http://arxiv.org/abs/1501.01825 db/journals/corr/corr1501.html#BendoryDF15
Tamir Bendory Avinoam David Bar-Zion Dan Adam Shai Dekel Arie Feuer Stable Support Recovery of Stream of Pulses with Application to Ultrasound Imaging. 2015 abs/1507.07256 CoRR http://arxiv.org/abs/1507.07256 db/journals/corr/corr1507.html#BendoryBADF15
Tamir Bendory Shai Dekel Arie Feuer Exact recovery of non-uniform splines from the projection onto spaces of algebraic polynomials. 7-17 2014 182 J. Approx. Theory https://doi.org/10.1016/j.jat.2014.03.001 db/journals/jat/jat182.html#BendoryDF14
Tamir Bendory Shai Dekel Arie Feuer Robust Recovery of Stream of Pulses using Convex Optimization. 2014 abs/1412.3262 CoRR http://arxiv.org/abs/1412.3262 db/journals/corr/corr1412.html#BendoryDF14
Tamir Bendory Shai Dekel Arie Feuer Super-resolution on the Sphere using Convex Optimization. 2014 abs/1412.3282 CoRR http://arxiv.org/abs/1412.3282 db/journals/corr/corr1412.html#BendoryDF14a
Tamir Bendory Shai Dekel Arie Feuer Exact recovery of Dirac ensembles from the projection onto spaces of spherical harmonics. 2014 abs/1412.3284 CoRR http://arxiv.org/abs/1412.3284 db/journals/corr/corr1412.html#BendoryDF14b
Tamir Bendory Shai Dekel Arie Feuer Exact recovery of non-uniform splines from the projection onto spaces of algebraic polynomials. 2014 abs/1412.6254 CoRR http://arxiv.org/abs/1412.6254 db/journals/corr/corr1412.html#BendoryDF14c
Oren Barkan Jonathan Weill Amir Averbuch Shai Dekel Adaptive Compressed Tomography Sensing. 2195-2202 2013 CVPR https://doi.org/10.1109/CVPR.2013.285 https://doi.ieeecomputersociety.org/10.1109/CVPR.2013.285 conf/cvpr/2013 db/conf/cvpr/cvpr2013.html#BarkanWAD13
Shai Dekel On the analysis of anisotropic smoothness. 1143-1164 2012 164 J. Approx. Theory 8 https://doi.org/10.1016/j.jat.2012.05.002 db/journals/jat/jat164.html#Dekel12
Amir Averbuch Shai Dekel Shay Deutsch Adaptive Compressed Image Sensing Using Dictionaries. 57-89 2012 5 SIAM J. Imaging Sci. 1 https://doi.org/10.1137/110820579 db/journals/siamis/siamis5.html#AverbuchDD12
Oren Barkan Amir Averbuch Shai Dekel Yaniv Tenzer A Mathematical Model for Extremely Low Dose Adaptive Computed Tomography Acquisition. 13-33 2012 MMCS https://doi.org/10.1007/978-3-642-54382-1_2 conf/mmcs/2012 db/conf/mmcs/mmcs2012.html#BarkanADT12
Shai Dekel On the equivalence of the modulus of smoothness and the K-functional over convex domains. 349-362 2010 162 J. Approx. Theory 2 https://doi.org/10.1016/j.jat.2009.06.001 db/journals/jat/jat162.html#Dekel10
Wolfgang Dahmen Shai Dekel Pencho Petrushev Multilevel preconditioning for partition of unity methods: some analytic concepts. 503-532 2007 107 Numerische Mathematik 3 https://doi.org/10.1007/s00211-007-0089-7 db/journals/nm/nm107.html#DahmenDP07
Dror Alani Amir Averbuch Shai Dekel Image Coding With Geometric Wavelets. 69-77 2007 16 IEEE Trans. Image Process. 1 https://doi.org/10.1109/TIP.2006.887727 https://www.wikidata.org/entity/Q51922844 db/journals/tip/tip16.html#AlaniAD07
Roman Kazinnik Shai Dekel Nira Dyn Low Bit-Rate Image Coding Using Adaptive Geometric Piecewise Polynomial Approximation. 2225-2233 2007 16 IEEE Trans. Image Process. 9 https://doi.org/10.1109/TIP.2007.903250 https://www.wikidata.org/entity/Q51906704 db/journals/tip/tip16.html#KazinnikDD07
Shai Dekel Dany Leviatan Adaptive Multivariate Approximation Using Binary Space Partitions and Geometric Wavelets. 707-732 2005 43 SIAM J. Numer. Anal. 2 https://doi.org/10.1137/040604649 https://www.wikidata.org/entity/Q114830458 db/journals/siamnum/siamnum43.html#DekelL05
Shai Dekel Dany Leviatan On Measuring the Efficiency of Kernel Operators in L<sub>p</sub>(R<sup>d</sup>). 53-65 2004 20 Adv. Comput. Math. 1-3 https://doi.org/10.1023/A:1025838129042 db/journals/adcm/adcm20.html#DekelL04
Shai Dekel Dany Leviatan Whitney Estimates for Convex Domains with Applications to Multivariate Piecewise Polynomial Approximation. 345-368 2004 4 Found. Comput. Math. 4 https://doi.org/10.1007/s10208-004-0096-3 db/journals/focm/focm4.html#DekelL04
Shai Dekel Dany Leviatan The Bramble-Hilbert Lemma for Convex Domains. 1203-1212 2004 35 SIAM J. Math. Anal. 5 https://doi.org/10.1137/S0036141002417589 db/journals/siamma/siamma35.html#DekelL04
Dan Adam Dror Alani Moran Amit Amir Averbuch Avinoam David Bar-Zion Oren Barkan Ido Ben-Shaul Tamir Bendory Yoav Binenbaum Wolfgang Dahmen Shay Deutsch Nira Dyn Oren Elisha Arie Feuer Tomer Galanti Ziv Gil Dan Givoli Leonid GugelLeon Gugel Adar Kahana Roman Kazinnik Leeor Langer Yann LeCun Dany Leviatan Idan Levy Wael Mattar Ohad Morgan Oded Ovadia Pencho Petrushev Nir Sharon Yoel Shkolnisky Ravid Shwartz-Ziv Yaniv Tenzer Eli Turkel Jonathan Weill Yuval Zelig