Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling. - Noam Elata; Tomer Michaeli; Michael Elad (ECCV (78), 2024)

Classification Diffusion Models: Revitalizing Density Ratio Estimation. - Shahar Yadin; Noam Elata; Tomer Michaeli (NeurIPS, 2024)

Nested Diffusion Processes for Anytime Image Generation. - Noam Elata; Bahjat Kawar; Tomer Michaeli; Michael Elad (WACV, 2024)

Classification Diffusion Models. - Shahar Yadin; Noam Elata; Tomer Michaeli (CoRR, 2024)

Zero-Shot Image Compression with Diffusion-Based Posterior Sampling. - Noam Elata; Tomer Michaeli; Michael Elad (CoRR, 2024)

GSURE-Based Diffusion Model Training with Corrupted Data. - Bahjat Kawar; Noam Elata; Tomer Michaeli; Michael Elad (Trans. Mach. Learn. Res., 2024)

Novel View Synthesis with Pixel-Space Diffusion Models. - Noam Elata; Bahjat Kawar; Yaron Ostrovsky-Berman; Miriam Farber; Ron Sokolovsky (CVPR, 2025)

InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems. - Noam Elata; Hyungjin Chung; Jong Chul Ye; Tomer Michaeli; Michael Elad (CoRR, 2025)