| 2025 | ICCV | SILO: Solving Inverse Problems with Latent Operators. | Ron Raphaeli, Sean Man, Michael Elad |
| 2025 | ICLR | Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration. | Guy Ohayon, Tomer Michaeli, Michael Elad |
| 2025 | ICML | Compressed Image Generation with Denoising Diffusion Codebook Models. | Guy Ohayon, Hila Manor, Tomer Michaeli, Michael Elad |
| 2025 | WACV | Class-Conditioned Transformation for Enhanced Robust Image Classification. | Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alex M. Bronstein |
| 2025 | WACV | Anchored Diffusion for Video Face Reenactment. | Idan Kligvasser, Regev Cohen, George Leifman, Ehud Rivlin, Michael Elad |
| 2025 | SiggraphA | ELAD: Blind Face Restoration using Expectation-based Likelihood Approximation and Diffusion Prior. | Sean Man, Guy Ohayon, Ron Raphaeli, Matan Kleiner, Michael Elad |
| 2024 | ECCV | Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling. | Noam Elata, Tomer Michaeli, Michael Elad |
| 2024 | ICLR | DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation. | Roi Benita, Michael Elad, Joseph Keshet |
| 2024 | ICML | The Perception-Robustness Tradeoff in Deterministic Image Restoration. | Guy Ohayon, Tomer Michaeli, Michael Elad |
| 2024 | ICML | Early Time Classification with Accumulated Accuracy Gap Control. | Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano |
| 2024 | WACV | Weakly-Supervised Representation Learning for Video Alignment and Analysis. | Guy Bar-Shalom, George Leifman, Michael Elad |
| 2024 | WACV | Nested Diffusion Processes for Anytime Image Generation. | Noam Elata, Bahjat Kawar, Tomer Michaeli, Michael Elad |
| 2024 | WACV | CLIPAG: Towards Generator-Free Text-to-Image Generation. | Roy Ganz, Michael Elad |
| 2023 | CVPR | High-Perceptual Quality JPEG Decoding via Posterior Sampling. | Sean Man, Guy Ohayon, Theo Adrai, Michael Elad |
| 2023 | CVPR | PatchCraft Self-Supervised Training for Correlated Image Denoising. | Gregory Vaksman, Michael Elad |
| 2023 | ICML | Do Perceptually Aligned Gradients Imply Robustness? | Roy Ganz, Bahjat Kawar, Michael Elad |
| 2023 | ICML | Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality. | Guy Ohayon, Theo Joseph Adrai, Michael Elad, Tomer Michaeli |
| 2023 | MICCAI | Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time. | George Leifman, Idan Kligvasser, Roman Goldenberg, Ehud Rivlin, Michael Elad |
| 2023 | MICCAI | Diffusion Models for Generative Histopathology. | Niranjan Sridhar, Michael Elad, Carson McNeil, Ehud Rivlin, Daniel Freedman |
| 2022 | ECCV | Simultaneous Detection and Classification of Partially and Weakly Supervised Cells. | Alona Golts, Ido Livneh, Yaniv Zohar, Aaron Ciechanover, Michael Elad |
| 2021 | DCC | The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study. | Xiyang Luo, Hossein Talebi, Feng Yang, Michael Elad, Peyman Milanfar |
| 2021 | ICCV | Patch Craft: Video Denoising by Deep Modeling and Patch Matching. | Gregory Vaksman, Michael Elad, Peyman Milanfar |
| 2020 | CVPR | LIDIA: Lightweight Learned Image Denoising with Instance Adaptation. | Gregory Vaksman, Michael Elad, Peyman Milanfar |
| 2019 | CVPR | A Local Block Coordinate Descent Algorithm for the CSC Model. | Ev Zisselman, Jeremias Sulam, Michael Elad |
| 2018 | ICASSP | RED-UCATION: A Novel CNN Architecture Based on Denoising Nonlinearities. | Yaniv Romano, Michael Elad, Peyman Milanfar |
| 2018 | ICASSP | Projecting on to the Multi-Layer Convolutional Sparse Coding Model. | Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad |
| 2018 | ICASSP | Dictionary Learning for High Dimensional Graph Signals. | Yael Yankelevsky, Michael Elad |
| 2018 | ICIP | Compression for Multiple Reconstructions. | Yehuda Dar, Michael Elad, Alfred M. Bruckstein |
| 2018 | ISIT | System-Aware Compression. | Yehuda Dar, Michael Elad, Alfred M. Bruckstein |
| 2017 | ICASSP | Structure-aware classification using supervised dictionary learning. | Yael Yankelevsky, Michael Elad |
| 2017 | ICCV | Convolutional Dictionary Learning via Local Processing. | Vardan Papyan, Yaniv Romano, Michael Elad, Jeremias Sulam |
| 2016 | ICIP | Turning a denoiser into a super-resolver using plug and play priors. | Alon Brifman, Yaniv Romano, Michael Elad |
| 2016 | PCS | Image restoration via successive compression. | Yehuda Dar, Alfred M. Bruckstein, Michael Elad |
| 2015 | ICASSP | Patch-disagreement as away to improve K-SVD denoising. | Yaniv Romano, Michael Elad |
| 2015 | ICASSP | Fusion of ultrasound harmonic imaging with clutter removal using sparse signal separation. | Javier S. Turek, Jeremias Sulam, Michael Elad, Irad Yavneh |
| 2015 | ICIG | Simple, Accurate, and Robust Nonparametric Blind Super-Resolution. | Wenze Shao, Michael Elad |
| 2014 | ICIP | Sparsity based poisson inpainting. | Raja Giryes, Michael Elad |
| 2014 | ICIP | Image denoising through multi-scale learnt dictionaries. | Jeremias Sulam, Boaz Ophir, Michael Elad |
| 2013 | ICASSP | Can we allow linear dependencies in the dictionary in the sparse synthesis framework? | Raja Giryes, Michael Elad |
| 2013 | ICASSP | Image denoising using NL-means via smooth patch ordering. | Idan Ram, Michael Elad, Israel Cohen |
| 2013 | ICIP | Improving K-SVD denoising by post-processing its method-noise. | Yaniv Romano, Michael Elad |
| 2012 | CVPR | Example-based cross-modal denoising. | Dana Segev, Yoav Y. Schechner, Michael Elad |
| 2012 | ICASSP | K-SVD dictionary-learning for the analysis sparse model. | Ron Rubinstein, Tomer Faktor, Michael Elad |
| 2011 | ICASSP | A constrained matching pursuit approach to audio declipping. | Amir Adler, Valentin Emiya, Maria G. Jafari, Michael Elad, Rmi Gribonval, Mark D. Plumbley |
| 2011 | ICASSP | Denoising of image patches via sparse representations with learned statistical dependencies. | Tomer Faktor, Yonina C. Eldar, Michael Elad |
| 2011 | ICASSP | Cosparse analysis modeling - uniqueness and algorithms. | Sangnam Nam, Michael E. Davies, Michael Elad, Rmi Gribonval |
| 2011 | ICASSP | Sparsity-based Sinogram Denoising for low-dose Computed Tomography. | Joseph Shtok, Michael Elad, Michael Zibulevsky |
| 2010 | ECCV | A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations. | Amir Adler, Yacov Hel-Or, Michael Elad |
| 2010 | ICASSP | A weighted discriminative approach for image denoising with overcomplete representations. | Amir Adler, Yacov Hel-Or, Michael Elad |
| 2010 | ICASSP | Coherence-based near-oracle performance guarantees for sparse estimation under Gaussian noise. | Zvika Ben-Haim, Yonina C. Eldar, Michael Elad |
| 2008 | ICASSP | On the uniqueness of non-negative sparse & redundant representations. | Alfred M. Bruckstein, Michael Elad, Michael Zibulevsky |
| 2007 | ICIP | Multiscale Sparse Image Representationwith Learned Dictionaries. | Julien Mairal, Guillermo Sapiro, Michael Elad |
| 2006 | CISS | A General Iterative Regularization Framework For Image Denoising. | Michael R. Charest, Michael Elad, Peyman Milanfar |
| 2006 | CVPR | Image Denoising Via Learned Dictionaries and Sparse representation. | Michael Elad, Michal Aharon |
| 2006 | CVPR | Image Denoising with Shrinkage and Redundant Representations. | Michael Elad, Boaz Matalon, Michael Zibulevsky |
| 2005 | CVPR | Pixels that Sound. | Einat Kidron, Yoav Y. Schechner, Michael Elad |
| 2004 | VCIP | Improved high-definition video by encoding at an intermediate resolution. | Andrew Segall, Michael Elad, Peyman Milanfar, Richard Webb, Chad Fogg |
| 2003 | ICIP | Fast and robust super-resolution. | Sina Farsiu, M. Dirk Robinson, Michael Elad, Peyman Milanfar |
| 2003 | ICIP | Optimal framework for low bit-rate block coders. | Yaakov Tsaig, Michael Elad, Gene H. Golub, Peyman Milanfar |
| 2001 | ICIP | On sparse signal representations. | Michael Elad, Alfred M. Bruckstein |
| 1999 | ICCV | Optimal Filters for Gradient-based Motion Estimation. | Michael Elad, Patrick C. Teo, Yacov Hel-Or |
| 1999 | ICIP | Super-Resolution Reconstruction of Continuous Image Sequences. | Michael Elad, Arie Feuer |