Publications

Complete list of papers at Google Scholar.

Selected Publications

• Z. Kadkhodaie, S. Mallat, E. P. Simoncelli, Unconditional CNN denoiser contain sparse semantic representations of images. arXiv, 2025.
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• F. Guth, Z Kadkhodaie, E. P. Simoncelli, Learning normalized image densities via dual score matching. NeurIPS, 2025
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• L. Q. Zhang, Z. Kadkhodaie, E. P. Simoncelli, D. H. Brainard, Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models. TMLR, 2025 (J2C ICLR2026) PDF | Project page

• Z. Kadkhodaie, S. Mallat, E. P. Simoncelli, Feature-guided score diffusion for sampling conditional densities. arXiv, 2024.
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• Z. Kadkhodaie, Natural Image Densities: Learning, Understanding and Utilizing. PhD thesis, New York University, July 2024.
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• Z. Kadkhodaie, F. Guth, E. P. Simoncelli, S. Mallat Generalization in diffusion models arises from geometry-adaptive harmonic representations. ICLR, 2024 (Best paper award & oral).
  PDF | Project page

• Z. Kadkhodaie, F. Guth, S. Mallat, E. P. Simoncelli, Learning multi-scale local conditional probability models of images. ICLR, 2023 (Oral).
  PDF | Project page

• Z Kadkhodaie, E. P. Simoncelli, Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser. NeurIPS, 2021.
  PDF | Project page

• Z. Kadkhodaie & E. P. Simoncelli, Solving linear inverse problems using the prior implicit in a denoiser. arXiv, 2020.
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• S. Mohan*, Z. Kadkhodaie*, E. P. Simoncelli & C. Fernandez-Granda, Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks. ICLR, 2020.
  PDF | Project page | Code
  _{* denotes equal contribution}