From Posterior Sampling to Meaningful Diversity in Image Restoration. - Noa Cohen; Hila Manor; Yuval Bahat; Tomer Michaeli (ICLR, 2024)

On the Posterior Distribution in Denoising: Application to Uncertainty Quantification. - Hila Manor; Tomer Michaeli (ICLR, 2024)

Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion. - Hila Manor; Tomer Michaeli (ICML, 2024)

Compressed Image Generation with Denoising Diffusion Codebook Models. - Guy Ohayon; Hila Manor; Tomer Michaeli; Michael Elad (CoRR, 2025)

When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets. - Chen Zeno; Hila Manor; Greg Ongie; Nir Weinberger; Tomer Michaeli; Daniel Soudry (CoRR, 2025)