| Autoencoders D Bank, N Koenigstein, R Giryes Machine Learning for Data Science Handbook: Data Mining and Knowledge …, 2023 | 578 | 2023 |
| Meshcnn: a network with an edge R Hanocka, A Hertz, N Fish, R Giryes, S Fleishman, D Cohen-Or ACM Transactions on Graphics (ToG) 38 (4), 1-12, 2019 | 548 | 2019 |
| Delta-encoder: an effective sample synthesis method for few-shot object recognition E Schwartz, L Karlinsky, J Shtok, S Harary, M Marder, A Kumar, R Feris, ... Advances in neural information processing systems 31, 2018 | 377 | 2018 |
| Repmet: Representative-based metric learning for classification and few-shot object detection L Karlinsky, J Shtok, S Harary, E Schwartz, A Aides, R Feris, R Giryes, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 314 | 2019 |
| Robust large margin deep neural networks J Sokolić, R Giryes, G Sapiro, MRD Rodrigues IEEE Transactions on Signal Processing 65 (16), 4265-4280, 2017 | 296 | 2017 |
| Deep neural networks with random Gaussian weights: A universal classification strategy? R Giryes, G Sapiro, AM Bronstein IEEE Transactions on Signal Processing 64 (13), 3444-3457, 2016 | 234 | 2016 |
| Improving dnn robustness to adversarial attacks using jacobian regularization D Jakubovitz, R Giryes Proceedings of the European conference on computer vision (ECCV), 514-529, 2018 | 206 | 2018 |
| Deepisp: Toward learning an end-to-end image processing pipeline E Schwartz, R Giryes, AM Bronstein IEEE Transactions on Image Processing 28 (2), 912-923, 2018 | 205 | 2018 |
| Image restoration by iterative denoising and backward projections T Tirer, R Giryes IEEE Transactions on Image Processing 28 (3), 1220-1234, 2018 | 183 | 2018 |
| Point2mesh: A self-prior for deformable meshes R Hanocka, G Metzer, R Giryes, D Cohen-Or arXiv preprint arXiv:2005.11084, 2020 | 182 | 2020 |
| Mathematics of deep learning R Vidal, J Bruna, R Giryes, S Soatto arXiv preprint arXiv:1712.04741, 2017 | 157 | 2017 |
| The projected GSURE for automatic parameter tuning in iterative shrinkage methods R Giryes, M Elad, YC Eldar Applied and Computational Harmonic Analysis 30 (3), 407-422, 2011 | 143 | 2011 |
| Poisson inverse problems by the plug-and-play scheme A Rond, R Giryes, M Elad Journal of Visual Communication and Image Representation 41, 96-108, 2016 | 139 | 2016 |
| Greedy-like algorithms for the cosparse analysis model R Giryes, S Nam, M Elad, R Gribonval, ME Davies Linear Algebra and its Applications 441, 22-60, 2014 | 128 | 2014 |
| Sparsity based poisson denoising with dictionary learning R Giryes, M Elad IEEE Transactions on Image Processing 23, 2013 | 127 | 2013 |
| Generalization error in deep learning D Jakubovitz, R Giryes, MRD Rodrigues Compressed Sensing and Its Applications: Third International MATHEON …, 2019 | 125 | 2019 |
| Uniq: Uniform noise injection for non-uniform quantization of neural networks C Baskin, E Schwartz, E Zheltonozhskii, N Liss, R Giryes, AM Bronstein, ... arXiv preprint arXiv:1804.10969, 2018 | 125 | 2018 |
| Laso: Label-set operations networks for multi-label few-shot learning A Alfassy, L Karlinsky, A Aides, J Shtok, S Harary, R Feris, R Giryes, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 124 | 2019 |
| Learned convolutional sparse coding H Sreter, R Giryes 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 111 | 2018 |
| Latent-nerf for shape-guided generation of 3d shapes and textures G Metzer, E Richardson, O Patashnik, R Giryes, D Cohen-Or Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 110 | 2023 |
Alex BronsteinDan Broida Academic Chair, Schmidt Chair of AI, CS@TechnionVerified email at technion.ac.il
