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Yehuda Dar
Yehuda Dar
Computer Science, Ben-Gurion University
Dirección de correo verificada de bgu.ac.il - Página principal
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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
802021
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
802016
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
582022
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
432015
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
202022
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
142020
Improving low bit-rate video coding using spatio-temporal down-scaling
Y Dar, AM Bruckstein
arXiv preprint arXiv:1404.4026, 2014
142014
Algorithms for piecewise constant signal approximations
L Bergerhoff, J Weickert, Y Dar
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
132019
Restoration by compression
Y Dar, M Elad, AM Bruckstein
IEEE Transactions on Signal Processing 66 (22), 5833-5847, 2018
132018
Optimized pre-compensating compression
Y Dar, M Elad, AM Bruckstein
IEEE Transactions on Image Processing 27 (10), 4798-4809, 2018
122018
The common intuition to transfer learning can win or lose: Case studies for linear regression
Y Dar, D LeJeune, RG Baraniuk
SIAM Journal on Mathematics of Data Science 6 (2), 454-480, 2024
8*2024
Double descent and other interpolation phenomena in gans
L Luzi, Y Dar, R Baraniuk
arXiv preprint arXiv:2106.04003, 2021
82021
On high-resolution adaptive sampling of deterministic signals
Y Dar, AM Bruckstein
Journal of Mathematical Imaging and Vision 61, 944-966, 2019
72019
System-aware compression
Y Dar, M Elad, AM Bruckstein
2018 IEEE International Symposium on Information Theory (ISIT), 2226-2230, 2018
52018
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
42022
Benefiting from duplicates of compressed data: Shift-based holographic compression of images
Y Dar, AM Bruckstein
Journal of Mathematical Imaging and Vision 63 (3), 380-393, 2021
32021
Compression for multiple reconstructions
Y Dar, M Elad, AM Bruckstein
2018 25th IEEE International Conference on Image Processing (ICIP), 440-444, 2018
32018
Image restoration via successive compression
Y Dar, AM Bruckstein, M Elad
2016 Picture Coding Symposium (PCS), 1-5, 2016
32016
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
22016
Recovery of Training Data from Overparameterized Autoencoders: An Inverse Problem Perspective
K Abitbul, Y Dar
arXiv preprint arXiv:2310.02897, 2023
12023
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Artículos 1–20