| 2025 | ICLR | Discriminating image representations with principal distortions. | Jenelle Feather, David Lipshutz, Sarah E. Harvey, Alex H. Williams, Eero P. Simoncelli |
| 2024 | ICLR | Generalization in diffusion models arises from geometry-adaptive harmonic representations. | Zahra Kadkhodaie, Florentin Guth, Eero P. Simoncelli, Stphane Mallat |
| 2023 | ICLR | Learning multi-scale local conditional probability models of images. | Zahra Kadkhodaie, Florentin Guth, Stphane Mallat, Eero P. Simoncelli |
| 2023 | ICML | Adaptive Whitening in Neural Populations with Gain-modulating Interneurons. | Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli |
| 2021 | ICCV | Unsupervised Deep Video Denoising. | Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda |
| 2020 | ICLR | Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks. | Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda |
| 2019 | ICIP | Blind Image Quality Assessment by Learning from Multiple Annotators. | Kede Ma, Xuelin Liu, Yuming Fang, Eero P. Simoncelli |
| 2017 | ICLR | End-to-end Optimized Image Compression. | Johannes Ball, Valero Laparra, Eero P. Simoncelli |
| 2016 | PCS | End-to-end optimization of nonlinear transform codes for perceptual quality. | Johannes Ball, Valero Laparra, Eero P. Simoncelli |
| 2014 | ICIP | Learning sparse filter bank transforms with convolutional ICA. | Johannes Ball, Eero P. Simoncelli |
| 2011 | ICASSP | Sparse decomposition of transformation-invariant signals with continuous basis pursuit. | Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli |
| 2009 | ICIP | Quantifying color image distortions based on adaptive spatio-chromatic signal decompositions. | Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli |
| 2008 | CVPR | Nonlinear image representation using divisive normalization. | Siwei Lyu, Eero P. Simoncelli |
| 2008 | ICASSP | Contextually adaptive signal representation using conditional principal component analysis. | Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli |
| 2008 | ICIP | Image denoising using mixtures of Gaussian scale mixtures. | Jose A. Guerrero-Colon, Eero P. Simoncelli, Javier Portilla |
| 2007 | ICIP | A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods. | David K. Hammond, Eero P. Simoncelli |
| 2007 | ICIP | Optimal Denoising in Redundant Bases. | Martin Raphan, Eero P. Simoncelli |
| 2007 | ICIP | Statistically Driven Sparse Image Approximation. | Rosa M. Figueras i Ventura, Eero P. Simoncelli |
| 2006 | ICIP | Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model. | David K. Hammond, Eero P. Simoncelli |
| 2005 | ICASSP | Translation Insensitive Image Similarity in Complex Wavelet Domain. | Zhou Wang, Eero P. Simoncelli |
| 2005 | ICIP | Locally adaptive multiscale contrast optimization. | Nicolas Bonnier, Eero P. Simoncelli |
| 2005 | ICIP | An adaptive linear system framework for image distortion analysis. | Zhou Wang, Eero P. Simoncelli |
| 2003 | ICIP | Image restoration using Gaussian scale mixtures in the wavelet domain. | Javier Portilla, Eero P. Simoncelli |
| 2001 | ICIP | Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain. | Vasily Strela, Javier Portilla, Martin J. Wainwright, Eero P. Simoncelli |
| 2000 | CVPR | Color Channels Decorrelation by ICA Transformation in the Wavelet Domain for Color Texture Analysis and Synthesis. | Yufeng Liang, Eero P. Simoncelli, Zhibin Lei |
| 2000 | ICIP | Image Denoising via Adjustment of Wavelet Coefficient Magnitude Correlation. | Javier Portilla, Eero P. Simoncelli |
| 2000 | ICIP | Random Cascades of Gaussian Scale Mixtures and Their Use in Modeling Natural Images With Application to Denoising. | Martin J. Wainwright, Eero P. Simoncelli, Alan S. Willsky |
| 1998 | ICIP | Texture Characterization via Joint Statistics of Wavelet Coefficient Magnitudes. | Eero P. Simoncelli, Javier Portilla |
| 1997 | CAIP | Optimally Rotation-Equivariant Directional Derivative Kernels. | Hany Farid, Eero P. Simoncelli |
| 1997 | CAIP | Discrete-Time Rigidity-Constrained Optical Flow. | Jeffrey Mendelsohn, Eero P. Simoncelli, Ruzena Bajcsy |
| 1997 | ICASSP | Progressive wavelet image coding based on a conditional probability model. | Robert W. Buccigrossi, Eero P. Simoncelli |
| 1997 | ICIP | Embedded Wavelet Image Compression Based On A Joint Probability Model. | Eero P. Simoncelli, Robert W. Buccigrossi |
| 1996 | ECCV | Direct Differential Range Estimation Using Optical Masks. | Eero P. Simoncelli, Hany Farid |
| 1996 | ICASSP | A filter design technique for steerable pyramid image transforms. | Anestis Karasaridis, Eero P. Simoncelli |
| 1996 | ICIP | A rotation invariant pattern signature. | Eero P. Simoncelli |
| 1996 | ICIP | Noise removal via Bayesian wavelet coring. | Eero P. Simoncelli, Edward H. Adelson |
| 1995 | ICCV | Steerable Wedge Filters. | Eero P. Simoncelli, Hany Farid |
| 1995 | ICIP | The steerable pyramid: a flexible architecture for multi-scale derivative computation. | Eero P. Simoncelli, William T. Freeman |
| 1994 | ICIP | Design of Multi-Dimensional Derivative Filters. | Eero P. Simoncelli |
| 1991 | CVPR | Probability distributions of optical flow. | Eero P. Simoncelli, Edward H. Adelson, David J. Heeger |