Publications Conferences

S. Man, G. Ohayon, R. Raphaeli, M. Kleiner and M. Elad, ELAD: Blind Face Restoration using Expectation-based Likelihood Approximation and Diffusion Prior, SIGGRAPH Asia 2025.

N. Elata, H. Chung, J. Chul Ye, T. Michaeli and M. Elad, InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems, NeurIPS 2025.

R. Benita, M. Elad and J. Keshet, Spectral Analysis of Diffusion Models with Application to Schedule Design, NeurIPS 2025.

O. Belhasin, S. Golan, R. El-Yaniv and M. Elad, Advancing Image Classification with Discrete Diffusion Classification Modeling, submitted to ..., 2025.

I. Kligvasser, R. Cohen, G. Leifman, E. Rivlin and M. Elad, Anchored Diffusion for Video Face Reenactment, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.

R. Raphaeli, S. Man and M. Elad, Silo: Solving Inverse Problems with Latent Operators, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025,

G. Ohayon, H. Manor, T. Michaeli and M. Elad, Compressed Image Generation with Denoising Diffusion Codebook Models, Forty-second International Conference on Machine Learning (ICML), 2025.

G. Ohayon, H. Manor, T. Michaeli and M. Elad, Compressed Image Generation with Denoising Diffusion Codebook Models, Forty-second International Conference on Machine Learning (ICML), 2025.

G. Ohayon, T. Michaeli and M. Elad, Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration, The Thirteenth International Conference on Learning Representations (ICLR), 2024.

O. Belhasin, I. Kligvasser, G. Leifman, R. Cohen, E. Rainaldi, L. Cheng, N. Verma, P. Varghese, E. Rivlin and M. Elad, Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models, ICLR Workshop: Quantify Uncertainty and Hallucination in Foundation Models: The Next Frontier in Reliable AI, 2025.

S. Golan, R. Ganz and M. Elad, Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination, NeurIPS 2024.

L. Ringel, R. Cohen, D. Freedman, M. Elad and Y. Romano, Early Time Classification with Accumulated Accuracy Gap Control, Proceedings of the 41st International Conference on Machine Learning (ICML), 2024.

G. Ohayon, M. Elad and T. Michaeli, Perceptual Fairness in Image Restoration, https://proceedings.neurips.cc/paper_files/paper/2024/hash/821d5c03ff3bbb574c876bb6beef98b2-Abstract-Conference.html

B. Kawar, G. Vaksman, and M. Elad, Stochastic Image Denoising by Sampling from the Posterior Distribution, ICCV 2021, AIM workshop.

G. Vaksman, M. Elad and P. Milanfar, LIDIA: Lightweight Learned Image Denoising with Instance Adaptation, CVPR 2020, New Trends in Image Restoration and Enhancement (NTIRE) Workshop. software

D. Simon and M. Elad, Rethinking the CSC Model for Natural Images, NIPS 2019.

E. Zisselman, J. Sulam, and M. Elad, A Local Block Coordinate Descent Algorithm for the CSC Model, CVPR 2019. software