Yehuda Dar

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 30

Top Topics

Transfer Learning

Adaptive Sampling

Compressed Data

Top Venues

SIAM J. Math. Data Sci.

IEEE Trans. Image Process.

J. Math. Imaging Vis.

Publications

Yehuda Dar, Daniel LeJeune, Richard G. Baraniuk
The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression. SIAM J. Math. Data Sci. 6 (2) (2024)
Yuval Sharon, Yehuda Dar
How Does Perfect Fitting Affect Representation Learning? On the Training Dynamics of Representations in Deep Neural Networks. CoRR (2024)
Koren Abitbul, Yehuda Dar
Recovery of Training Data from Overparameterized Autoencoders: An Inverse Problem Perspective. CoRR (2023)
Yehuda Dar, Richard G. Baraniuk
Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks. SIAM J. Math. Data Sci. 4 (4) (2022)
Gowthami Somepalli, Liam Fowl, Arpit Bansal, Ping-Yeh Chiang, Yehuda Dar, Richard G. Baraniuk, Micah Goldblum, Tom Goldstein
Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective. CVPR (2022)
Gowthami Somepalli, Liam Fowl, Arpit Bansal, Ping-Yeh Chiang, Yehuda Dar, Richard G. Baraniuk, Micah Goldblum, Tom Goldstein
Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective. CoRR (2022)
Yehuda Dar, Lorenzo Luzi, Richard G. Baraniuk
Overfreezing Meets Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks. CoRR (2022)
Yehuda Dar, Alfred M. Bruckstein
Benefiting from Duplicates of Compressed Data: Shift-Based Holographic Compression of Images. J. Math. Imaging Vis. 63 (3) (2021)
Yehuda Dar, Richard G. Baraniuk
Transfer Learning Can Outperform the True Prior in Double Descent Regularization. CoRR (2021)
Yehuda Dar, Vidya Muthukumar, Richard G. Baraniuk
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning. CoRR (2021)
Lorenzo Luzi, Yehuda Dar, Richard G. Baraniuk
Double Descent and Other Interpolation Phenomena in GANs. CoRR (2021)
Yehuda Dar, Paul Mayer, Lorenzo Luzi, Richard G. Baraniuk
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors. CoRR (2020)
Yehuda Dar, Paul Mayer, Lorenzo Luzi, Richard G. Baraniuk
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors. ICML (2020)
Yehuda Dar, Richard G. Baraniuk
Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks. CoRR (2020)
Veronica Corona, Yehuda Dar, Carola-Bibiane Schönlieb
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding. CoRR (2020)
Leif Bergerhoff, Joachim Weickert, Yehuda Dar
Algorithms for Piecewise Constant Signal Approximations. CoRR (2019)
Leif Bergerhoff, Joachim Weickert, Yehuda Dar
Algorithms for Piecewise Constant Signal Approximations. EUSIPCO (2019)
Yehuda Dar, Alfred M. Bruckstein
Benefiting from Duplicates of Compressed Data: Shift-Based Holographic Compression of Images. CoRR (2019)
Yehuda Dar, Alfred M. Bruckstein
On High-Resolution Adaptive Sampling of Deterministic Signals. J. Math. Imaging Vis. 61 (7) (2019)
Yehuda Dar, Michael Elad, Alfred M. Bruckstein
Restoration by Compression. IEEE Trans. Signal Process. 66 (22) (2018)
Yehuda Dar, Michael Elad, Alfred M. Bruckstein
Compression for Multiple Reconstructions. CoRR (2018)
Yehuda Dar, Michael Elad, Alfred M. Bruckstein
System-Aware Compression. ISIT (2018)
Yehuda Dar, Michael Elad, Alfred M. Bruckstein
System-Aware Compression. CoRR (2018)
Yehuda Dar, Michael Elad, Alfred M. Bruckstein
Compression for Multiple Reconstructions. ICIP (2018)
Yehuda Dar, Michael Elad, Alfred M. Bruckstein
Optimized Pre-Compensating Compression. IEEE Trans. Image Process. 27 (10) (2018)
Yehuda Dar, Michael Elad, Alfred M. Bruckstein
Restoration by Compression. CoRR (2017)
Yehuda Dar, Michael Elad, Alfred M. Bruckstein
Optimized Pre-Compensating Compression. CoRR (2017)
Yehuda Dar, Alfred M. Bruckstein, Michael Elad
Image restoration via successive compression. PCS (2016)
Yehuda Dar, Alfred M. Bruckstein
Optimal High-Resolution Adaptive Sampling of Deterministic Signals. CoRR (2016)
Yehuda Dar, Alfred M. Bruckstein, Michael Elad, Raja Giryes
Postprocessing of Compressed Images via Sequential Denoising. IEEE Trans. Image Process. 25 (7) (2016)
Yehuda Dar, Alfred M. Bruckstein, Michael Elad, Raja Giryes
Postprocessing of Compressed Images via Sequential Denoising. CoRR (2015)
Yehuda Dar, Alfred M. Bruckstein
Improving Low Bit-Rate Video Coding using Spatio-Temporal Down-Scaling. CoRR (2014)
Yehuda Dar, Alfred M. Bruckstein
Motion-Compensated Coding and Frame-Rate Up-Conversion: Models and Analysis. CoRR (2014)