Publications

Pre-Prints

K. Abitbul and Y. Dar, "Recovery of Training Data from Overparameterized Autoencoders: An Inverse Problem Perspective", arXiv preprint arXiv:2310.02897.
Y. Dar, L. Luzi, and R. G. Baraniuk, "Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks", arXiv preprint arXiv:2211.11074.
Y. Dar, V. Muthukumar, R. G. Baraniuk, "A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning", arXiv preprint arXiv:2109.02355
L. Luzi, Y. Dar, and R. G. Baraniuk, "Double Descent and Other Interpolation Phenomena in GANs", arXiv preprint arXiv:2106.04003.

Published Papers

Y. Dar, D. LeJeune, and R. G. Baraniuk, "The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression", Accepted to SIAM Journal on Mathematics of Data Science, 2024.
Y. Dar and R. G. Baraniuk, "Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks", SIAM Journal on Mathematics of Data Science, vol. 4, issue 4, 2022. [arXiv]
G. Somepalli, L. Fowl, A. Bansal, P. Yeh-Chiang, Y. Dar, R. Baraniuk, M. Goldblum, T. Goldstein, "Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective", in the Conference on Computer Vision and Pattern Recognition (CVPR) 2022.
Y. Dar and A. M. Bruckstein, "Modular ADMM-Based Strategies for Optimized Compression, Restoration, and Distributed Representations of Visual Data", in the Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2021.
Y. Dar and A. M. Bruckstein, “Benefiting from Duplicates of Compressed Data: Shift-Based Holographic Compression of Images”, Journal of Mathematical Imaging and Vision, 2021. [arxiv]
Y. Dar, P. Mayer, L. Luzi, and R. G. Baraniuk, "Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors", in the International Conference on Machine Learning (ICML) 2020. [PMLR] [Talk Slides]
L. Bergerhoff, J. Weickert, and Y. Dar, “Algorithms for Piecewise Constant Signal Approximations”, the European Signal Processing Conference (EUSIPCO) 2019.
Y. Dar and A. M. Bruckstein, “On High-Resolution Adaptive Sampling of Deterministic Signals”, Journal of Mathematical Imaging and Vision, 2019. [arXiv]
Y. Dar, M. Elad, and A. M. Bruckstein, “Restoration by Compression”, IEEE Transactions on Signal Processing, vol. 66, no. 22, pp. 5833–5847, 2018. [arXiv]
Y. Dar, M. Elad, and A. M. Bruckstein, “Compression for Multiple Reconstructions”, in IEEE International Conference on Image Processing (ICIP) 2018. [IEEE Xplore] [Talk Slides] [Matlab Code]
Y. Dar, M. Elad, and A. M. Bruckstein, “System-Aware Compression”, in IEEE International Symposium on Information Theory (ISIT) 2018. [IEEE Xplore] [Talk Slides]
Y. Dar, M. Elad, and A. M. Bruckstein, “Optimized Pre-Compensating Compression”, IEEE Transactions on Image Processing, vol. 27, no. 10, pp. 4798–4809, 2018. [arXiv]
Y. Dar, M. Elad, and A. M. Bruckstein, “Image Restoration via Successive Compression”, in Picture Coding Symposium 2016.
Y. Dar, A. M. Bruckstein, M. Elad, and R. Giryes, “Reducing Artifacts of Intra-Frame Video Coding via Sequential Denoising”, in IEEE International Conference on the Science of Electrical Engineering (ICSEE) 2016.
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, 2016. [arXiv]
Y. Dar and A. M. Bruckstein, “Motion-Compensated Coding and Frame Rate Up-Conversion: Models and Analysis”, IEEE Transactions on Image Processing, vol. 24, no. 7, pp. 2051–2066, 2015.

Conference Presentations (Without Proceedings)

Y. Dar, M. Elad, and A. M. Bruckstein, “Optimized Pre-Compensating Compression”, Israel Computer Vision Day, The Weizmann Institute of Science, December 10, 2017. [Talk Slides]
Y. Dar, A. M. Bruckstein, and M. Elad, “Image Restoration via Successive Compression”, Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, Lisbon, Portugal, June 5-8, 2017. [Abstract] [Poster]
Y. Dar, A. M. Bruckstein, M. Elad, and R. Giryes, “Postprocessing of Compressed Images via Sequential Image Denoising”, Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, Cambridge, UK, July 6-9, 2015. [Poster]

You are also welcome to visit my Google Scholar page.