| Postprocessing of compressed images via sequential denoising Y Dar, AM Bruckstein, M Elad, R Giryes IEEE Transactions on Image Processing 25 (7), 3044-3058, 2016 | 76 | 2016 |
| A farewell to the bias-variance tradeoff? an overview of the theory of overparameterized machine learning Y Dar, V Muthukumar, RG Baraniuk arXiv preprint arXiv:2109.02355, 2021 | 55 | 2021 |
| Motion-compensated coding and frame rate up-conversion: Models and analysis Y Dar, AM Bruckstein IEEE Transactions on Image Processing 24 (7), 2051-2066, 2015 | 41 | 2015 |
| Can neural nets learn the same model twice? investigating reproducibility and double descent from the decision boundary perspective G Somepalli, L Fowl, A Bansal, P Yeh-Chiang, Y Dar, R Baraniuk, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 33 | 2022 |
| Double double descent: on generalization errors in transfer learning between linear regression tasks Y Dar, RG Baraniuk SIAM Journal on Mathematics of Data Science 4 (4), 1447-1472, 2022 | 14 | 2022 |
| Improving low bit-rate video coding using spatio-temporal down-scaling Y Dar, AM Bruckstein arXiv preprint arXiv:1404.4026, 2014 | 14 | 2014 |
| Restoration by compression Y Dar, M Elad, AM Bruckstein IEEE Transactions on Signal Processing 66 (22), 5833-5847, 2018 | 12 | 2018 |
| Optimized pre-compensating compression Y Dar, M Elad, AM Bruckstein IEEE Transactions on Image Processing 27 (10), 4798-4809, 2018 | 11 | 2018 |
| Subspace fitting meets regression: The effects of supervision and orthonormality constraints on double descent of generalization errors Y Dar, P Mayer, L Luzi, R Baraniuk International Conference on Machine Learning, 2366-2375, 2020 | 9 | 2020 |
| The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression Y Dar, D LeJeune, RG Baraniuk arXiv preprint arXiv:2103.05621, 2021 | 8* | 2021 |
| Algorithms for piecewise constant signal approximations L Bergerhoff, J Weickert, Y Dar 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 7 | 2019 |
| System-aware compression Y Dar, M Elad, AM Bruckstein 2018 IEEE International Symposium on Information Theory (ISIT), 2226-2230, 2018 | 5 | 2018 |
| Double descent and other interpolation phenomena in GANs L Luzi, Y Dar, R Baraniuk arXiv preprint arXiv:2106.04003, 2021 | 4 | 2021 |
| On high-resolution adaptive sampling of deterministic signals Y Dar, AM Bruckstein Journal of Mathematical Imaging and Vision 61, 944-966, 2019 | 4 | 2019 |
| Image restoration via successive compression Y Dar, AM Bruckstein, M Elad 2016 Picture Coding Symposium (PCS), 1-5, 2016 | 4 | 2016 |
| Benefiting from duplicates of compressed data: Shift-based holographic compression of images Y Dar, AM Bruckstein Journal of Mathematical Imaging and Vision 63, 380-393, 2021 | 3 | 2021 |
| Compression for multiple reconstructions Y Dar, M Elad, AM Bruckstein 2018 25th IEEE International Conference on Image Processing (ICIP), 440-444, 2018 | 3 | 2018 |
| Reducing artifacts of intra-frame video coding via sequential denoising Y Dar, AM Bruckstein, M Elad, R Giryes 2016 IEEE International Conference on the Science of Electrical Engineering …, 2016 | 2 | 2016 |
| Modular admm-based strategies for optimized compression, restoration, and distributed representations of visual data Y Dar, AM Bruckstein Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2022 | 1 | 2022 |
| Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks Y Dar, L Luzi, RG Baraniuk arXiv preprint arXiv:2211.11074, 2022 | | 2022 |
Alfred BrucksteinOllendorff Chair in Science, Technion, IIT, Haifa, IsraelAdresă de e-mail confirmată pe cs.technion.ac.il
