Publications

  • Journal Publications

D. Bank and R. Giryes, “On the relationship between Dropout and Equiangular Tight Frames”, Submitted. Article

T. Levy, A. Vahid and R. Giryes, Ranking Recovery from Limited Comparisons using Low-Rank Matrix Completion, submitted, 2018. Article

G. Leibovitz, R. Giryes, “Efficient Sparse Recovery Pursuits with Least Squares”, preprint, 2017. Article

T. Tirer and R. Giryes, “Generalizing CoSaMP to Signals from a Union of Low Dimensional Linear Subspaces”, to appear in Applied and Harmonic Computational Analysis, 2018. Article

T. Tirer and R. Giryes, “Image Restoration by Iterative Denoising and Backward Projections”, to appear in IEEE Transactions on Image Processing, 2018. Article  Code

E. Plaut and R. Giryes, “A Greedy Approach to l_0∞ Based Convolutional Sparse Coding”, to appear in Siam Journal on Imaging Sciences, 2018. Code

R. Hanocka, N. Fish, Z. Wang, R. Giryes, S. Fleishman and D. Cohen-Or, “ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning”, to appear in ACM Transactions on Graphics, 2018. Article

E. Schwartz, R. Giryes and A. M. Bronstein, “DeepISP: Learning End-to-End Image Processing Pipeline”, IEEE Transactions on Image Processing, vol. 28, no. 2, pp. 912-923, 2019. Article and dataset

H. Haim, S. Elmalem, R. Giryes, A. M. Bronstein and E. Marom, “Depth Estimation from a Single Image using Deep Learned Phase Coded Mask”, IEEE Transactions on Computational Imaging, vol. 4, no. 3, pp. 298 – 310, 2018. Article  Dataset
Won the first place at the OSA student grand challenge of “the optical system of the future”

T. Remez, O. Litany, R. Giryes and Alex M. Bronstein, “Class-Aware Fully-Convolutional Gaussian and Poisson Denoising”, IEEE Transactions on Image Processing,  vol. 27, no. 11, pp. 5707-5722, 2018. Article

S. Elmalem, R. Giryes, and E. Marom, “Learned phase coded aperture for the benefit of depth of field extension” Optics Express, vol. 26, no. 12, pp. 15316-15331, 2018. Article

S. Zucker and R. Giryes, “Shallow Transits – Deep Learning I: Feasibility Study of Deep Learning to Detect Periodic Transits of Exoplanets”, The Astronomical Journal, vol. 155, no. 4, 2018. Article

R. Giryes, Y. C. Eldar, A. M. Bronstein and G. Sapiro, “Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems”, IEEE Transactions on Signal Processing, vol. 66, no. 7, pp. 1676-1690, 2018. Article

J. Sokolic, R. Giryes, G. Sapiro and M. R. D. Rodrigues, “Robust Large Margin Deep Neural Networks”, IEEE Transactions on Signal Processing, vol. 65, no. 16, pp. 4265 – 4280, 2017. Article

Arie Rond, Raja Giryes and Michael Elad, “Poisson Inverse Problems by the Plug-and-Play scheme”, Journal of Visual Communication and Image Representation, vol. 41, pp. 96-108, Nov. 2016. Article  Code
Best Paper Award Honorable Mention

Y. Dar, A. M. Bruckstein, M. Elad and R. Giryes, “Postprocessing of Compressed Images via Sequential Denoising”, IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 3044-3058, Jul. 2016. Article

R. Giryes, G. Sapiro and A.M. Bronstein, “Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? “,  IEEE Transactions on
Signal Processing, vol. 64, no. 13, pp. 3444-3457, Jul. 2016. Article

R.Giryes, “A Greedy Algorithm for the Analysis Transform Domain”, Neurocomputing, vol. 173, no. 2, pp. 278–289, Jan. 2016. Article

R. Giryes, “Sampling in the Analysis transform Domain”, Applied and Computational Harmonic Analysis, vol. 40, no. 1, pp. 172–185, Jan. 2016.  Article

R. Giryes, M. Elad and A.M. Bruckstein, “Sparsity Based Methods for Overparameterized Variational Problems”,SIAM journal on imaging sciences (SIIMS), vol. 8, no. 3, pp. 2133-2159, 2015, Article Code

R. Giryes, Y. Plan and R. Vershynin, “On the Effective Measure of Dimension in the Analysis Cosparse Model”, IEEE Transactions on Information Theory, vol. 61, no. 10, pp. 5745-5753, Oct. 2015. Article

R. Giryes and D. Needell, “Near oracle performance and block analysis of signal space greedy methods”, Journal of Approximation Theory, vol. 194, pp. 157-174, June 2015.  Article

R.Giryes and D.Needell, “Greedy Signal Space Methods for incoherence and beyond”, Applied and Computational Harmonic Analysis, vol. 39, no. 1, pp. 1-20, July 2015. Article

R. Giryes and M. Elad, “Sparsity Based Poisson Denoising with Dictionary Learning”, IEEE Transactions on Image Processing, vol. 23, no. 12, pp. 5057-5069, Dec. 2014. Article   Code

R. Giryes, S. Nam, M. Elad, R. Gribonval and M.E. Davies, “Greedy-Like Algorithms for the Cosparse Analysis Model”, Linear Algebra and its Applications, vol. 441, pp. 22-60, 15 January 2014.  Article    Code

R. Giryes and M. Elad, “RIP-Based Near-Oracle Performance Guarantees for SP, CoSaMP, and IHT”, IEEE Transactions on Signal Processing, vol. 60, no. 3, pp.1465-1468, March 2012. Article

A.M. Bruckstein, T. Etzion, R. Giryes, N. Gordon, R.J. Holt and D. Shuldiner, “Simple and Robust Binary Self-Location Patterns”, IEEE Transactions on Information Theory, vol.58, no.7, pp.4884-4889, July 2012.  Article

R. Giryes, M. Elad, and Y. C. Eldar, “The projected GSURE for automatic parameter tuning in iterative shrinkage methods”, Applied and Computational Harmonic Analysis, Vol. 30, No. 3, Pages 407-422, May 2011.  Article

Conference Publications

C. Baskin, E. Schwartz, E. Zheltonozhskii, N. Liss, R. Giryes, A. M. Bronstein, A. Mendelson, “UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks”, Submitted. Article

E. Schwartz, L. Karlinsky, J. Shtok, S. Harary, M. Marder, R. Feris, A. Kumar, R. Giryes and A. M Bronstein, “Delta-encoder an effective sample synthesis method for few-shot object recognition”, Advances in Neural Information Processing Systems (NIPS), 2018, Montréal, Canada. Article  (accepted as a spotlight, which is 3.5% acceptance rate)

D. Jakubovitz and R. Giryes, “Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization”, European Conference on Computer Vision (ECCV), 2018, Munich, Germany. Article

T. Tirer and R. Giryes, “An Iterative Denoising and Backwards Projections Method and its Advantages for Blind Deblurring”, ICIP, 2018. Article

E. Plaut and R. Giryes, “Matching Pursuit based Convolutional Sparse Coding”, ICASSP, 2018. Code

H. Sreter and R. Giryes, “Learned Convolutional Sparse Coding”, ICASSP, 2018. Article

R. Giryes, Y. C. Eldar, A. M. Bronstein, G. Sapiro, “The Learned Inexact Project Gradient Descent Algorithm”, ICASSP, 2018.

T. Remez, O. Litany, R. Giryes and Alex M. Bronstein, “Deep Class Aware Image Denoising”, ICIP, 2017

G. Alexandroni, Y. Podolsky, O. Litany, T. Remez, Alex M. Bronstein, H. Greenspan and R. Giryes, “White Matter Fiber Representation using Continuous Dictionary Learning”, MICCAI, 2017. Article

J. Sokolic, R. Giryes, G. Sapiro and M. R. D. Rodrigues, “Generalization Error of Invariant Classifiers”, AISTATS, 2017. Article

G. Leibovitz and R. Giryes, “Fast Least Squares Pursuits for Sparse Recovery”, SampTA, 2017. Article

J. Sokolic, R. Giryes, G. Sapiro and M. R. D. Rodrigues, “Generalization Error of Deep Neural Networks: Role of Classification Margin and Data Structure”, SampTA, 2017. Article

R. Giryes, G. Sapiro and A.M. Bronstein, “On the stability of deep networks “, ICLR, 2014. Article  Poster

R. Giryes, Y. Plan and R. Vershynin, “On the Effective Measure of Dimension in Total Variation Minimization”, In Proc. 11th International Conference on Sampling Theory and Applications (SampTA), 25-29 May, 2015. Article

R. Giryes and M. Elad, “Sparsity Based Poisson Inpainting”, In Proc. IEEE Int. Conf. Imag. Proc., 27-30 October, 2014.  Article

R. Giryes and M. Elad, “OMP Performance with Highly Coherent Dictionaries”, In Proc. 10th International Conference on Sampling Theory and Applications (SampTA), 1-5 July, 2013. Article

R. Giryes and M. Elad, “Iterative Hard Thresholding with Near Optimal Projection for Signal Recovery”, In Proc. 10th International Conference on Sampling Theory and Applications (SampTA), 1-5 July, 2013.  Article

R. Giryes and M. Elad, “Can we allow linear dependencies in the dictionary in the synthesis framework?”, In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 26-31 May, 2013. Article

R. Giryes and M. Elad, “Sparsity Based Poisson Denoising”, in Proc. IEEE 27-th Convention of Electronics and Electrical Engineers in Israel (IEEEI’12), Eilat, Israel, Nov. 2012.  Article

R. Giryes and M. Elad, “CoSaMP and SP for the Co-Sparse Analysis Model”, In Proc. European Signal Processing Conference (EUSIPCO), Bucharest, Rumania, Aug. 27-31, 2012. Article

R. Giryes and M. Elad, “Denoising with Greedy-Like Pursuit Algorithms”, In Proc. European Signal Processing Conference (EUSIPCO), Barcelona, Spain, Aug. 29, 2011. Article

R. Giryes, S. Nam, R. Gribonval, M. E. Davies, “Iterative cosparse projection algorithms for the recovery of cosparse vectors”, In Proc. European Signal Processing Conference (EUSIPCO), Barcelona, Spain, Aug. 29, 2011. Article

R. Giryes and V. Cevher, “Online performance guarantees for sparse recovery”, In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 22-27 May, 2011. Article

R. Giryes, Y. C. Eldar and M. Elad, “Automatic Parameter Setting for Iterative Shrinkage Methods”, in Proc. IEEE 25-th Convention of Electronics and Electrical Engineers in Israel (IEEEI’08),Eilat, Israel, Dec. 2008. Article

R. Giryes, A. M. Bronstein, Y. Moshe, M. M. Bronstein, “Embedded System for 3D Shape Reconstruction”, In Proc. European DSP Education and Research Symposium (EDERS), 2008.  Article

Book Chapters

D. Jakubovitz, R. Giryes, M. R. D. Rodrigues, “Generalization error in neural networks”, 2018. Article

 

Technical Reports

R. Giryes and M. Elad, “RIP-Based Near-Oracle Performance Guarantees for Subspace-Pursuit, CoSaMP, and Iterative Hard-Thresholding”, Technion CS-2010-23 Technical Report, 2010. Report