Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks. - Sreyas Mohan; Zahra Kadkhodaie; Eero P. Simoncelli; Carlos Fernandez-Granda (ICLR, 2020)

Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser. - Zahra Kadkhodaie; Eero P. Simoncelli (CoRR, 2020)

Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser. - Zahra Kadkhodaie; Eero P. Simoncelli (NeurIPS, 2021)

Learning multi-scale local conditional probability models of images. - Zahra Kadkhodaie; Florentin Guth; Stéphane Mallat; Eero P. Simoncelli (ICLR, 2023)

Generalization in diffusion models arises from geometry-adaptive harmonic representation. - Zahra Kadkhodaie; Florentin Guth; Eero P. Simoncelli; Stéphane Mallat (CoRR, 2023)

Generalization in diffusion models arises from geometry-adaptive harmonic representations. - Zahra Kadkhodaie; Florentin Guth; Eero P. Simoncelli; Stéphane Mallat (ICLR, 2024)

Optimized Linear Measurements for Inverse Problems using Diffusion-Based Image Generation. - Ling-Qi Zhang; Zahra Kadkhodaie; Eero P. Simoncelli; David H. Brainard (CoRR, 2024)

Feature-guided score diffusion for sampling conditional densities. - Zahra Kadkhodaie; Stéphane Mallat; Eero P. Simoncelli (CoRR, 2024)

Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models. - Ling-Qi Zhang; Zahra Kadkhodaie; Eero P. Simoncelli; David H. Brainard (Trans. Mach. Learn. Res., 2025)

Elucidating the representation of images within an unconditional diffusion model denoiser. - Zahra Kadkhodaie; Stéphane Mallat; Eero P. Simoncelli (CoRR, 2025)

Learning normalized image densities via dual score matching. - Florentin Guth; Zahra Kadkhodaie; Eero P. Simoncelli (CoRR, 2025)