| Robust and interpretable blind image denoising via bias-free convolutional neural networks S *Mohan, Z *Kadkhodaie, EP Simoncelli, C Fernandez-Granda arXiv preprint arXiv:1906.05478, 2019 | 156 | 2019 |
| Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser Z Kadkhodaie, E Simoncelli Advances in Neural Information Processing Systems 34, 2021 | 150 | 2021 |
| Generalization in diffusion models arises from geometry-adaptive harmonic representations Z Kadkhodaie, F Guth, EP Simoncelli, S Mallat arXiv preprint arXiv:2310.02557, 2023 | 95 | 2023 |
| Solving linear inverse problems using the prior implicit in a denoiser Z Kadkhodaie, EP Simoncelli arXiv preprint arXiv:2007.13640, 2020 | 90 | 2020 |
| Predicting synthesizability of crystalline materials via deep learning A Davariashtiyani, Z Kadkhodaie, S Kadkhodaei Nature Communications Materials 2 (1), 1-11, 2021 | 38 | 2021 |
| Learning multi-scale local conditional probability models of images EPS Zahra Kadkhodaie, Florentin Guth, Stephane Mallat International Conference on Learning Representations (ICLR), 2023 | 19* | 2023 |
| Image Reconstruction from Cone Excitations using the Implicit Prior in a Denoiser LQ Zhang, Z Kadkhodaie, EP Simoncelli, DH Brainard Journal of Vision 22 (14), 3793-3793, 2022 | 1 | 2022 |
| Feature-guided score diffusion for sampling conditional densities Z Kadkhodaie, S Mallat, EP Simoncelli arXiv preprint arXiv:2410.11646, 2024 | | 2024 |
| Optimized Linear Measurements for Inverse Problems using Diffusion-Based Image Generation LQ Zhang, Z Kadkhodaie, EP Simoncelli, DH Brainard arXiv preprint arXiv:2405.17456, 2024 | | 2024 |
| Robust and interpretable blind image denoising via bias-free convolutional neural networks S Mohan*, Z Kadkhodaie*, EP Simoncelli, C Fernandez-Granda Int'l Conf on Learning Representations (ICLR), 2020 | | 2020 |
| Interpretable and robust blind image denoising with bias-free convolutional neural networks Z Kadkhodaie, S Mohan, EP Simoncelli, C Fernandez-Granda NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks, 0 | | |
Eero P SimoncelliProfessor of Neural Science, Mathematics, Data Science, Psychology @ NYU.Verified email at nyu.edu
