Michael Elad
Identifiers
- name variant Michael Elad 0.60 · backfill
Papers (50)
- CRoCoDiL: Continuous and Robust Conditioned Diffusion for Language cs.CL · 2026 · author #7
- Analyzing and Guiding Zero-Shot Posterior Sampling in Diffusion Models cs.LG · 2026 · author #2
- Turbo-DDCM: Fast and Flexible Zero-Shot Diffusion-Based Image Compression eess.IV · 2025 · author #4
- A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model cs.CV · 2018 · author #3
- Variations on the CSC model eess.SP · 2018 · author #3
- Finding GEMS: Multi-Scale Dictionaries for High-Dimensional Graph Signals cs.LG · 2018 · author #2
- On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks cs.LG · 2018 · author #4
- Acceleration of RED via Vector Extrapolation cs.CV · 2018 · author #3
- Multi-Layer Sparse Coding: The Holistic Way eess.IV · 2018 · author #3
- Compression for Multiple Reconstructions cs.MM · 2018 · author #2
- System-Aware Compression cs.IT · 2018 · author #2
- Optimized Pre-Compensating Compression cs.MM · 2017 · author #2
- Restoration by Compression cs.IT · 2017 · author #2
- Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning cs.CV · 2017 · author #4
- Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding cs.IT · 2017 · author #3
- Convolutional Dictionary Learning via Local Processing cs.CV · 2017 · author #4
- On the Global-Local Dichotomy in Sparsity Modeling cs.IT · 2017 · author #3
- The Little Engine that Could: Regularization by Denoising (RED) cs.CV · 2016 · author #2
- Compressed Learning: A Deep Neural Network Approach cs.CV · 2016 · author #2
- Structure-Aware Classification using Supervised Dictionary Learning cs.LG · 2016 · author #2
- Example-Based Image Synthesis via Randomized Patch-Matching cs.CV · 2016 · author #3
- Style-Transfer via Texture-Synthesis cs.CV · 2016 · author #1
- Convolutional Neural Networks Analyzed via Convolutional Sparse Coding stat.ML · 2016 · author #3
- Working Locally Thinking Globally - Part II: Stability and Algorithms for Convolutional Sparse Coding cs.IT · 2016 · author #3
- Working Locally Thinking Globally - Part I: Theoretical Guarantees for Convolutional Sparse Coding cs.IT · 2016 · author #3
- A Deep Learning Approach to Block-based Compressed Sensing of Images cs.CV · 2016 · author #3
- Con-Patch: When a Patch Meets its Context cs.CV · 2016 · author #2
- Trainlets: Dictionary Learning in High Dimensions cs.CV · 2016 · author #4
- Poisson Inverse Problems by the Plug-and-Play scheme cs.CV · 2015 · author #3
- Postprocessing of Compressed Images via Sequential Denoising cs.CV · 2015 · author #3
- Linearized Kernel Dictionary Learning cs.CV · 2015 · author #2
- Simple, Accurate, and Robust Nonparametric Blind Super-Resolution cs.CV · 2015 · author #2
- Boosting of Image Denoising Algorithms cs.CV · 2015 · author #2
- Bi-l0-l2-Norm Regularization for Blind Motion Deblurring cs.CV · 2014 · author #3
- Sparsity Based Methods for Overparameterized Variational Problems cs.CV · 2014 · author #2
- Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks cs.CV · 2013 · author #3
- Sparsity Based Poisson Denoising with Dictionary Learning cs.CV · 2013 · author #2
- Can we allow linear dependencies in the dictionary in the sparse synthesis framework? cs.IT · 2013 · author #2
- Image Processing using Smooth Ordering of its Patches cs.CV · 2012 · author #2
- Greedy-Like Algorithms for the Cosparse Analysis Model math.FA · 2012 · author #3
- Performance Guarantees of the Thresholding Algorithm for the Co-Sparse Analysis Model cs.IT · 2012 · author #2
- Redundant Wavelets on Graphs and High Dimensional Data Clouds cs.CV · 2011 · author #2
- Generalized Tree-Based Wavelet Transform cs.CV · 2010 · author #2
- Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery cs.IT · 2010 · author #3
- RIP-Based Near-Oracle Performance Guarantees for Subspace-Pursuit, CoSaMP, and Iterative Hard-Thresholding stat.ME · 2010 · author #2
- Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning cs.CV · 2010 · author #3
- Analysis of Basis Pursuit Via Capacity Sets cs.NA · 2010 · author #2
- The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods cs.CV · 2010 · author #2
- On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary cs.CV · 2010 · author #4
- Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise math.ST · 2009 · author #3
Mentions
- 1303.5655 #2 · backfill · confidence 0.70 Michael Elad
- 1210.3832 #2 · backfill · confidence 0.70 Michael Elad
- 1207.2456 #3 · backfill · confidence 0.70 Michael Elad
- 1203.2769 #2 · backfill · confidence 0.70 Michael Elad
- 1111.4619 #2 · backfill · confidence 0.70 Michael Elad
- 2602.07715 #2 · arxiv_oai · confidence 0.70 Michael Elad
- 1011.4615 #2 · backfill · confidence 0.70 Michael Elad
- 1010.5734 #3 · backfill · confidence 0.70 Michael Elad
- 1005.4539 #2 · backfill · confidence 0.70 Michael Elad
- 1004.4373 #3 · backfill · confidence 0.70 Michael Elad
- 1004.4329 #2 · backfill · confidence 0.70 Michael Elad
- 1003.3985 #2 · backfill · confidence 0.70 Michael Elad
- 1003.3984 #4 · backfill · confidence 0.70 Michael Elad
- 0903.4579 #3 · backfill · confidence 0.70 Michael Elad
Frequent Coauthors
- Jeremias Sulam 10 shared papers
- Yaniv Romano 9 shared papers
- Raja Giryes 8 shared papers
- Alfred M. Bruckstein 6 shared papers
- Vardan Papyan 6 shared papers
- Michael Zibulevsky 5 shared papers
- Yehuda Dar 5 shared papers
- Idan Ram 3 shared papers
- Israel Cohen 3 shared papers
- Joseph Shtok 3 shared papers
- Amir Adler 2 shared papers
- Aviad Aberdam 2 shared papers
- Peyman Milanfar 2 shared papers
- Tomer Peleg 2 shared papers
- Wen-Ze Shao 2 shared papers
- Yael Yankelevsky 2 shared papers
- Yonina C. Eldar 2 shared papers
- Akhiad Bercovich 1 shared papers
- Alona Golts 1 shared papers
- Amir Beck 1 shared papers