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2020 – today
- 2021
[i78]Eli Schwartz, Alex M. Bronstein, Raja Giryes:
ISP Distillation. CoRR abs/2101.10203 (2021)- [i77]Einav Yogev-Ofer, Tom Tirer, Raja Giryes:
An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term. CoRR abs/2101.11599 (2021) - [i76]Shady Abu Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes:
Image Restoration by Deep Projected GSURE. CoRR abs/2102.02485 (2021) - 2020
- [j27]Tom Tirer, Raja Giryes:
Back-Projection Based Fidelity Term for Ill-Posed Linear Inverse Problems. IEEE Trans. Image Process. 29: 6164-6179 (2020) - [j26]Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Deep geometric texture synthesis. ACM Trans. Graph. 39(4): 108 (2020) - [j25]Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
Point2Mesh: a self-prior for deformable meshes. ACM Trans. Graph. 39(4): 126 (2020) - [j24]Raja Giryes
, Guillermo Sapiro, Alex M. Bronstein:
Corrections to "Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?". IEEE Trans. Signal Process. 68: 529-531 (2020) - [j23]Guy Leibovitz, Raja Giryes:
Efficient Least Residual Greedy Algorithms for Sparse Recovery. IEEE Trans. Signal Process. 68: 3707-3722 (2020) - [c38]Shady Abu Hussein, Tom Tirer, Raja Giryes:
Image-Adaptive GAN Based Reconstruction. AAAI 2020: 3121-3129 - [c37]Tal Perl, Sriram Chaudhury, Raja Giryes:
Low Resource Sequence Tagging using Sentence Reconstruction. ACL 2020: 2692-2698 - [c36]Asaf Noy, Niv Nayman, Tal Ridnik, Nadav Zamir, Sivan Doveh, Itamar Friedman, Raja Giryes, Lihi Zelnik:
ASAP: Architecture Search, Anneal and Prune. AISTATS 2020: 493-503 - [c35]Dor Bank, Raja Giryes:
An ETF view of Dropout regularization. BMVC 2020 - [c34]Shachar Ben Dayan, David Mendlovic, Raja Giryes:
Deep Sparse Light Field Refocusing. BMVC 2020 - [c33]Amnon Drory, Oria Ratzon, Shai Avidan, Raja Giryes:
The Resistance to Label Noise in K-NN and DNN Depends on its Concentration. BMVC 2020 - [c32]Shady Abu Hussein, Tom Tirer, Raja Giryes:
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers. CVPR 2020: 1425-1434 - [c31]Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
PointGMM: A Neural GMM Network for Point Clouds. CVPR 2020: 12051-12060 - [c30]Gilad Cohen, Guillermo Sapiro, Raja Giryes:
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors. CVPR 2020: 14441-14450 - [c29]Moshe Lichtenstein, Prasanna Sattigeri, Rogério Feris, Raja Giryes, Leonid Karlinsky:
TAFSSL: Task-Adaptive Feature Sub-Space Learning for Few-Shot Classification. ECCV (7) 2020: 522-539 - [c28]Roee Levy Leshem, Raja Giryes:
Taco-VC: A Single Speaker Tacotron based Voice Conversion with Limited Data. EUSIPCO 2020: 391-395 - [c27]Jenny Zukerman, Tom Tirer, Raja Giryes:
BP-DIP: A Backprojection based Deep Image Prior. EUSIPCO 2020: 675-679 - [c26]Shakarim Soltanayev, Raja Giryes, Se Young Chun, Yonina C. Eldar:
On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein's Unbiased Risk Estimator. ICASSP 2020: 3592-3596 - [c25]Dana Weitzner, Raja Giryes:
Separable Optimization for Joint Blind Deconvolution and Demixing. ICASSP 2020: 5989-5993 - [c24]Dana Weitzner, David Mendlovic, Raja Giryes:
Face Authentication From Grayscale Coded Light Field. ICIP 2020: 2611-2615 - [c23]Yoav Chai, Raja Giryes, Lior Wolf:
Supervised and Unsupervised Learning of Parameterized Color Enhancement. WACV 2020: 981-989 - [i75]Yoav Chai, Raja Giryes, Lior Wolf:
Supervised and Unsupervised Learning of Parameterized Color Enhancement. CoRR abs/2001.05843 (2020) - [i74]Shay Elmalem, Raja Giryes, Emanuel Marom:
Motion Deblurring using Spatiotemporal Phase Aperture Coding. CoRR abs/2002.07483 (2020) - [i73]Lihi Shiloh-Perl, Raja Giryes:
Introduction to deep learning. CoRR abs/2003.03253 (2020) - [i72]Jenny Zukerman, Tom Tirer, Raja Giryes:
BP-DIP: A Backprojection based Deep Image Prior. CoRR abs/2003.05417 (2020) - [i71]Dor Bank, Noam Koenigstein, Raja Giryes:
Autoencoders. CoRR abs/2003.05991 (2020) - [i70]Moshe Lichtenstein, Prasanna Sattigeri, Rogério Schmidt Feris, Raja Giryes, Leonid Karlinsky:
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification. CoRR abs/2003.06670 (2020) - [i69]Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes:
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification. CoRR abs/2003.06798 (2020) - [i68]Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
PointGMM: a Neural GMM Network for Point Clouds. CoRR abs/2003.13326 (2020) - [i67]Guy Leibovitz, Raja Giryes:
Efficient Least Residual Greedy Algorithms for Sparse Recovery. CoRR abs/2004.06661 (2020) - [i66]Raja Giryes:
A function space analysis of finite neural networks with insights from sampling theory. CoRR abs/2004.06989 (2020) - [i65]Tom Tirer, Raja Giryes:
On the Convergence Rate of Projected Gradient Descent for a Back-Projection based Objective. CoRR abs/2005.00959 (2020) - [i64]Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
Point2Mesh: A Self-Prior for Deformable Meshes. CoRR abs/2005.11084 (2020) - [i63]Dana Weitzner, David Mendlovic, Raja Giryes:
Face Authentication from Grayscale Coded Light Field. CoRR abs/2006.00473 (2020) - [i62]Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Deep Geometric Texture Synthesis. CoRR abs/2007.00074 (2020) - [i61]Sapir Kaplan, Raja Giryes:
Self-supervised Neural Architecture Search. CoRR abs/2007.01500 (2020) - [i60]Gal Metzer, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Self-Sampling for Neural Point Cloud Consolidation. CoRR abs/2008.06471 (2020) - [i59]Shachar Ben Dayan, David Mendlovic, Raja Giryes:
Deep Sparse Light Field Refocusing. CoRR abs/2009.02582 (2020) - [i58]Tom Tirer, Joan Bruna, Raja Giryes:
Kernel-Based Smoothness Analysis of Residual Networks. CoRR abs/2009.10008 (2020) - [i57]Amnon Drory, Tal Shomer, Shai Avidan, Raja Giryes:
Best Buddies Registration for Point Clouds. CoRR abs/2010.01912 (2020) - [i56]Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky:
Fine-grained Angular Contrastive Learning with Coarse Labels. CoRR abs/2012.03515 (2020) - [i55]Yuri Feigin, Hedva Spitzer, Raja Giryes:
GMM-Based Generative Adversarial Encoder Learning. CoRR abs/2012.04525 (2020)
2010 – 2019
- 2019
- [j22]Moran Rubin, Omer Stein, Nir A. Turko, Yoav Nygate, Darina Roitshtain, Lidor Karako, Itay Barnea, Raja Giryes, Natan T. Shaked:
TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set. Medical Image Anal. 57: 176-185 (2019) - [j21]Elad Plaut, Raja Giryes:
A Greedy Approach to ℓ0, ∞-Based Convolutional Sparse Coding. SIAM J. Imaging Sci. 12(1): 186-210 (2019) - [j20]Tom Tirer, Raja Giryes:
Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal Learning. IEEE Signal Process. Lett. 26(7): 1080-1084 (2019) - [j19]Eli Schwartz, Raja Giryes, Alexander M. Bronstein:
DeepISP: Toward Learning an End-to-End Image Processing Pipeline. IEEE Trans. Image Process. 28(2): 912-923 (2019) - [j18]Tom Tirer, Raja Giryes:
Image Restoration by Iterative Denoising and Backward Projections. IEEE Trans. Image Process. 28(3): 1220-1234 (2019) - [j17]Rana Hanocka, Noa Fish, Zhenhua Wang, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or:
ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning. ACM Trans. Graph. 38(1): 1:1-1:14 (2019) - [j16]Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or:
MeshCNN: a network with an edge. ACM Trans. Graph. 38(4): 90:1-90:12 (2019) - [c22]Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. CVPR 2019: 5197-5206 - [c21]Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. CVPR 2019: 6548-6557 - [c20]Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Blind Visual Motif Removal From a Single Image. CVPR 2019: 6858-6867 - [c19]Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes:
Lautum Regularization for Semi-Supervised Transfer Learning. ICCV Workshops 2019: 763-767 - [i54]Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
LaSO: Label-Set Operations networks for multi-label few-shot learning. CoRR abs/1902.09811 (2019) - [i53]Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes:
Lautum Regularization for Semi-supervised Transfer Learning. CoRR abs/1904.01670 (2019) - [i52]Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Blind Visual Motif Removal from a Single Image. CoRR abs/1904.02756 (2019) - [i51]Roee Levy Leshem, Raja Giryes:
Taco-VC: A Single Speaker Tacotron based Voice Conversion with Limited Data. CoRR abs/1904.03522 (2019) - [i50]Asaf Noy, Niv Nayman, Tal Ridnik, Nadav Zamir, Sivan Doveh, Itamar Friedman, Raja Giryes, Lihi Zelnik-Manor:
ASAP: Architecture Search, Anneal and Prune. CoRR abs/1904.04123 (2019) - [i49]Eli Schwartz, Leonid Karlinsky, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
Baby steps towards few-shot learning with multiple semantics. CoRR abs/1906.01905 (2019) - [i48]Shady Abu Hussein, Tom Tirer, Raja Giryes:
Image-Adaptive GAN based Reconstruction. CoRR abs/1906.05284 (2019) - [i47]Tom Tirer, Raja Giryes:
Back-Projection based Fidelity Term for Ill-Posed Linear Inverse Problems. CoRR abs/1906.06794 (2019) - [i46]Daniel Brodeski, Igal Bilik, Raja Giryes:
Deep Radar Detector. CoRR abs/1906.12187 (2019) - [i45]Gilad Cohen, Guillermo Sapiro, Raja Giryes:
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors. CoRR abs/1909.06872 (2019) - [i44]Yotam Gil, Shay Elmalem, Harel Haim, Emanuel Marom, Raja Giryes:
MonSter: Awakening the Mono in Stereo. CoRR abs/1910.13708 (2019) - [i43]Shady Abu Hussein, Tom Tirer, Raja Giryes:
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers. CoRR abs/1912.00157 (2019) - [i42]Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky:
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification. CoRR abs/1912.00412 (2019) - [i41]Sivan Doveh, Raja Giryes:
DEGAS: Differentiable Efficient Generator Search. CoRR abs/1912.00606 (2019) - 2018
- [j15]Harel Haim, Shay Elmalem, Raja Giryes, Alexander M. Bronstein, Emanuel Marom:
Depth Estimation From a Single Image Using Deep Learned Phase Coded Mask. IEEE Trans. Computational Imaging 4(3): 298-310 (2018) - [j14]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Class-Aware Fully Convolutional Gaussian and Poisson Denoising. IEEE Trans. Image Process. 27(11): 5707-5722 (2018) - [j13]Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro:
Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems. IEEE Trans. Signal Process. 66(7): 1676-1690 (2018) - [c18]Daniel Jakubovitz, Raja Giryes:
Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization. ECCV (12) 2018: 525-541 - [c17]Tom Tirer, Raja Giryes:
Task-Driven Dictionary Learning based on Convolutional Neural Network Features. EUSIPCO 2018: 1885-1889 - [c16]Hillel Sreter, Raja Giryes:
Learned Convolutional Sparse Coding. ICASSP 2018: 2191-2195 - [c15]Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro:
The Learned Inexact Project Gradient Descent Algorithm. ICASSP 2018: 6767-6771 - [c14]Elad Plaut, Raja Giryes:
Matching Pursuit Based Convolutional Sparse Coding. ICASSP 2018: 6847-6851 - [c13]Ofir Nabati, David Mendlovic, Raja Giryes:
Fast and accurate reconstruction of compressed color light field. ICCP 2018: 1-11 - [c12]Tom Tirer, Raja Giryes:
An Iterative Denoising and Backwards Projections Method and its Advantages for Blind Deblurring. ICIP 2018: 973-977 - [c11]Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
Delta-encoder: an effective sample synthesis method for few-shot object recognition. NeurIPS 2018: 2850-2860 - [i40]Eli Schwartz, Raja Giryes, Alexander M. Bronstein:
DeepISP: Learning End-to-End Image Processing Pipeline. CoRR abs/1801.06724 (2018) - [i39]Ofir Nabati, David Mendlovic, Raja Giryes:
Fast and Accurate Reconstruction of Compressed Color Light Field. CoRR abs/1801.10351 (2018) - [i38]Daniel Jakubovitz, Raja Giryes:
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization. CoRR abs/1803.08680 (2018) - [i37]Amnon Drory, Shai Avidan, Raja Giryes:
On the Resistance of Neural Nets to Label Noise. CoRR abs/1803.11410 (2018) - [i36]Rana Hanocka, Noa Fish, Zhenhua Wang, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or:
ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning. CoRR abs/1804.08497 (2018) - [i35]Chaim Baskin, Eli Schwartz, Evgenii Zheltonozhskii, Natan Liss, Raja Giryes, Alexander M. Bronstein, Avi Mendelson:
UNIQ: Uniform Noise Injection for the Quantization of Neural Networks. CoRR abs/1804.10969 (2018) - [i34]Gilad Cohen, Guillermo Sapiro, Raja Giryes:
DNN or k-NN: That is the Generalize vs. Memorize Question. CoRR abs/1805.06822 (2018) - [i33]Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein:
RepMet: Representative-based metric learning for classification and one-shot object detection. CoRR abs/1806.04728 (2018) - [i32]Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein:
Delta-encoder: an effective sample synthesis method for few-shot object recognition. CoRR abs/1806.04734 (2018) - [i31]Tal Levy, Alireza Vahid, Raja Giryes:
Ranking Recovery from Limited Comparisons using Low-Rank Matrix Completion. CoRR abs/1806.05419 (2018) - [i30]Daniel Jakubovitz, Raja Giryes, Miguel R. D. Rodrigues:
Generalization Error in Deep Learning. CoRR abs/1808.01174 (2018) - [i29]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Class-Aware Fully-Convolutional Gaussian and Poisson Denoising. CoRR abs/1808.06562 (2018) - [i28]Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or:
MeshCNN: A Network with an Edge. CoRR abs/1809.05910 (2018) - [i27]Chaim Baskin, Natan Liss, Yoav Chai, Evgenii Zheltonozhskii, Eli Schwartz, Raja Giryes, Avi Mendelson, Alexander M. Bronstein:
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization. CoRR abs/1810.00162 (2018) - [i26]Dor Bank, Raja Giryes:
On the relationship between Dropout and Equiangular Tight Frames. CoRR abs/1810.06049 (2018) - [i25]Natan Liss, Chaim Baskin, Avi Mendelson, Alexander M. Bronstein, Raja Giryes:
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware. CoRR abs/1811.10869 (2018) - [i24]Tom Tirer, Raja Giryes:
Super-Resolution based on Image-Adapted CNN Denoisers: Incorporating Generalization of Training Data and Internal Learning in Test Time. CoRR abs/1811.12866 (2018) - [i23]Elad Plaut, Raja Giryes:
A Greedy Approach to 𝓁0, ∞ Based Convolutional Sparse Coding. CoRR abs/1812.10538 (2018) - [i22]Moran Rubin, Omer Stein, Nir A. Turko, Yoav Nygate, Darina Roitshtain, Lidor Karako, Itay Barnea, Raja Giryes, Natan T. Shaked:
TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set. CoRR abs/1812.11006 (2018) - 2017
- [j12]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Robust Large Margin Deep Neural Networks. IEEE Trans. Signal Process. 65(16): 4265-4280 (2017) - [c10]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Generalization Error of Invariant Classifiers. AISTATS 2017: 1094-1103 - [c9]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Deep class-aware image denoising. ICIP 2017: 1895-1899 - [c8]Guy Alexandroni, Yana Podolsky, Hayit Greenspan, Tal Remez, Or Litany, Alexander M. Bronstein, Raja Giryes:
White Matter Fiber Representation Using Continuous Dictionary Learning. MICCAI (1) 2017: 566-574 - [i21]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Deep Convolutional Denoising of Low-Light Images. CoRR abs/1701.01687 (2017) - [i20]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Deep Class Aware Denoising. CoRR abs/1701.01698 (2017) - [i19]Tom Tirer, Raja Giryes:
Generalizing CoSaMP to Signals from a Union of Low Dimensional Linear Subspaces. CoRR abs/1703.01920 (2017) - [i18]Tom Tirer, Raja Giryes:
Image Restoration by Iterative Denoising and Backward Projections. CoRR abs/1710.06647 (2017) - [i17]René Vidal, Joan Bruna, Raja Giryes, Stefano Soatto:
Mathematics of Deep Learning. CoRR abs/1712.04741 (2017) - 2016
- [j11]Raja Giryes:
A greedy algorithm for the analysis transform domain. Neurocomputing 173: 278-289 (2016) - [j10]Arie Rond, Raja Giryes, Michael Elad:
Poisson inverse problems by the Plug-and-Play scheme. J. Vis. Commun. Image Represent. 41: 96-108 (2016) - [j9]Yehuda Dar, Alfred M. Bruckstein, Michael Elad, Raja Giryes:
Postprocessing of Compressed Images via Sequential Denoising. IEEE Trans. Image Process. 25(7): 3044-3058 (2016) - [j8]Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein:
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? IEEE Trans. Signal Process. 64(13): 3444-3457 (2016) - [i16]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Margin Preservation of Deep Neural Networks. CoRR abs/1605.08254 (2016) - [i15]Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro:
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems. CoRR abs/1605.09232 (2016) - [i14]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Generalization Error of Invariant Classifiers. CoRR abs/1610.04574 (2016) - 2015
- [j7]Raja Giryes, Deanna Needell:
Near oracle performance and block analysis of signal space greedy methods. J. Approx. Theory 194: 157-174 (2015) - [j6]Raja Giryes, Michael Elad, Alfred M. Bruckstein:
Sparsity Based Methods for Overparameterized Variational Problems. SIAM J. Imaging Sci. 8(3): 2133-2159 (2015) - [j5]Raja Giryes, Yaniv Plan, Roman Vershynin:
On the Effective Measure of Dimension in the Analysis Cosparse Model. IEEE Trans. Inf. Theory 61(10): 5745-5753 (2015) - [c7]Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein:
On the Stability of Deep Networks. ICLR (Workshop) 2015 - [i13]Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein:
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? CoRR abs/1504.08291 (2015) - [i12]Yehuda Dar, Alfred M. Bruckstein, Michael Elad, Raja Giryes:
Postprocessing of Compressed Images via Sequential Denoising. CoRR abs/1510.09041 (2015) - [i11]Arie Rond, Raja Giryes, Michael Elad:
Poisson Inverse Problems by the Plug-and-Play scheme. CoRR abs/1511.02500 (2015) - 2014
- [j4]Raja Giryes, Michael Elad:
Sparsity-Based Poisson Denoising With Dictionary Learning. IEEE Trans. Image Process. 23(12): 5057-5069 (2014) - [c6]Raja Giryes, Michael Elad:
Sparsity based poisson inpainting. ICIP 2014: 2839-2843 - [i10]Raja Giryes, Deanna Needell:
Near Oracle Performance of Signal Space Greedy Methods. CoRR abs/1402.2601 (2014) - [i9]Raja Giryes, Michael Elad, Alfred M. Bruckstein:
Sparsity Based Methods for Overparametrized Variational Problems. CoRR abs/1405.4969 (2014) - [i8]Raja Giryes, Yaniv Plan, Roman Vershynin:
On the Effective Measure of Dimension in the Analysis Cosparse Model. CoRR abs/1410.0989 (2014) - [i7]Raja Giryes:
Sampling in the Analysis Transform Domain. CoRR abs/1410.6558 (2014) - 2013
- [c5]Raja Giryes, Michael Elad:
Can we allow linear dependencies in the dictionary in the sparse synthesis framework? ICASSP 2013: 5459-5463 - [i6]Raja Giryes, Michael Elad:
Can we allow linear dependencies in the dictionary in the sparse synthesis framework? CoRR abs/1303.5655 (2013) - [i5]Raja Giryes, Deanna Needell:
Greedy Signal Space Methods for incoherence and beyond. CoRR abs/1309.2676 (2013) - [i4]Raja Giryes, Michael Elad:
Sparsity Based Poisson Denoising with Dictionary Learning. CoRR abs/1309.4306 (2013) - [i3]Raja Giryes:
Greedy Algorithm for the Analysis Transform Domain. CoRR abs/1309.7298 (2013) - 2012
- [j3]