Non-separable extensions of quadrature mirror filters to multiple dimensions. - Eero P. Simoncelli; Edward H. Adelson (Proc. IEEE, 1990)

Probability distributions of optical flow. - Eero P. Simoncelli; Edward H. Adelson; David J. Heeger (CVPR, 1991)

Shiftable multiscale transforms. - Eero P. Simoncelli; William T. Freeman; Edward H. Adelson; David J. Heeger (IEEE Trans. Inf. Theory, 1992)

Distributed representation and analysis of visual motion. - Eero P. Simoncelli (1993)

Design of Multi-Dimensional Derivative Filters. - Eero P. Simoncelli (ICIP (1), 1994)

Steerable Wedge Filters. - Eero P. Simoncelli; Hany Farid (ICCV, 1995)

The steerable pyramid: a flexible architecture for multi-scale derivative computation. - Eero P. Simoncelli; William T. Freeman (ICIP (3), 1995)

Rendering Spaces for Architectural Environments. - Jeffry Nimeroff; Eero P. Simoncelli; Julie Dorsey; Norman I. Badler (Presence Teleoperators Virtual Environ., 1995)

Direct Differential Range Estimation Using Optical Masks. - Eero P. Simoncelli; Hany Farid (ECCV (2), 1996)

A filter design technique for steerable pyramid image transforms. - Anestis Karasaridis; Eero P. Simoncelli (ICASSP, 1996)

A rotation invariant pattern signature. - Eero P. Simoncelli (ICIP (3), 1996)

Noise removal via Bayesian wavelet coring. - Eero P. Simoncelli; Edward H. Adelson (ICIP (1), 1996)

Steerable wedge filters for local orientation analysis. - Eero P. Simoncelli; Hany Farid (IEEE Trans. Image Process., 1996)

Optimally Rotation-Equivariant Directional Derivative Kernels. - Hany Farid; Eero P. Simoncelli (CAIP, 1997)

Discrete-Time Rigidity-Constrained Optical Flow. - Jeffrey Mendelsohn; Eero P. Simoncelli; Ruzena Bajcsy (CAIP, 1997)

Progressive wavelet image coding based on a conditional probability model. - Robert W. Buccigrossi; Eero P. Simoncelli (ICASSP, 1997)

Embedded Wavelet Image Compression Based On A Joint Probability Model. - Eero P. Simoncelli; Robert W. Buccigrossi (ICIP (1), 1997)

Texture Characterization via Joint Statistics of Wavelet Coefficient Magnitudes. - Eero P. Simoncelli; Javier Portilla (ICIP (1), 1998)

Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model. - Eero P. Simoncelli; Odelia Schwartz (NIPS, 1998)

Scale Mixtures of Gaussians and the Statistics of Natural Images. - Martin J. Wainwright; Eero P. Simoncelli (NIPS, 1999)

Image compression via joint statistical characterization in the wavelet domain. - Robert W. Buccigrossi; Eero P. Simoncelli (IEEE Trans. Image Process., 1999)

Color Channels Decorrelation by ICA Transformation in the Wavelet Domain for Color Texture Analysis and Synthesis. - Yufeng Liang; Eero P. Simoncelli; Zhibin Lei (CVPR, 2000)

Image Denoising via Adjustment of Wavelet Coefficient Magnitude Correlation. - Javier Portilla; Eero P. Simoncelli (ICIP, 2000)

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 (ICIP, 2000)

Natural Sound Statistics and Divisive Normalization in the Auditory System. - Odelia Schwartz; Eero P. Simoncelli (NIPS, 2000)

A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients. - Javier Portilla; Eero P. Simoncelli (Int. J. Comput. Vis., 2000)

Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain. - Vasily Strela; Javier Portilla; Martin J. Wainwright; Eero P. Simoncelli (ICIP (2), 2001)

Characterizing Neural Gain Control using Spike-triggered Covariance. - Odelia Schwartz; E. J. Chichilnisky; Eero P. Simoncelli (NIPS, 2001)

Modeling temporal response characteristics of V1 neurons with a dynamic normalization model. - Samuel Mikaelian; Eero P. Simoncelli (Neurocomputing, 2001)

Image restoration using Gaussian scale mixtures in the wavelet domain. - Javier Portilla; Eero P. Simoncelli (ICIP (2), 2003)

Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model. - Jonathan W. Pillow; Liam Paninski; Eero P. Simoncelli (NIPS, 2003)

Local Phase Coherence and the Perception of Blur. - Zhou Wang 001; Eero P. Simoncelli (NIPS, 2003)

Directly Invertible Nonlinear Divisive Normalization Pyramid for Image Representation. - Roberto Valerio; Eero P. Simoncelli; Rafael Fonolla Navarro (VLBV, 2003)

Biases in white noise analysis due to non-Poisson spike generation. - Jonathan W. Pillow; Eero P. Simoncelli (Neurocomputing, 2003)

On Advances in Statistical Modeling of Natural Images. - A. Srivastava; A. B. Lee; Eero P. Simoncelli; S.-C. Zhu (J. Math. Imaging Vis., 2003)

Image denoising using scale mixtures of Gaussians in the wavelet domain. - Javier Portilla; Vasily Strela; Martin J. Wainwright; Eero P. Simoncelli (IEEE Trans. Image Process., 2003)

Stimulus synthesis for efficient evaluation and refinement of perceptual image quality metrics. - Zhou Wang 001; Eero P. Simoncelli (Human Vision and Electronic Imaging, 2004)

Constraining a Bayesian Model of Human Visual Speed Perception. - Alan Stocker; Eero P. Simoncelli (NIPS, 2004)

Machine Learning Applied to Perception: Decision Images for Gender Classification. - Felix A. Wichmann; Arnulf B. A. Graf; Eero P. Simoncelli; Heinrich H. Bülthoff; Bernhard Schölkopf (NIPS, 2004)

Spike-triggered characterization of excitatory and suppressive stimulus dimensions in monkey V1. - Nicole C. Rust; Odelia Schwartz; J. Anthony Movshon; Eero P. Simoncelli (Neurocomputing, 2004)

Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model. - Liam Paninski; Jonathan W. Pillow; Eero P. Simoncelli (Neural Comput., 2004)

Differentiation of discrete multidimensional signals. - Hany Farid; Eero P. Simoncelli (IEEE Trans. Image Process., 2004)

Image quality assessment: from error visibility to structural similarity. - Zhou Wang 001; Alan C. Bovik; Hamid R. Sheikh; Eero P. Simoncelli (IEEE Trans. Image Process., 2004)

Reduced-reference image quality assessment using a wavelet-domain natural image statistic model. - Zhou Wang 001; Eero P. Simoncelli (Human Vision and Electronic Imaging, 2005)

Translation Insensitive Image Similarity in Complex Wavelet Domain. - Zhou Wang 001; Eero P. Simoncelli (ICASSP (2), 2005)

Locally adaptive multiscale contrast optimization. - Nicolas Bonnier; Eero P. Simoncelli (ICIP (1), 2005)

An adaptive linear system framework for image distortion analysis. - Zhou Wang 001; Eero P. Simoncelli (ICIP (3), 2005)

Sensory Adaptation within a Bayesian Framework for Perception. - Alan Stocker; Eero P. Simoncelli (NIPS, 2005)

Comparing integrate-and-fire models estimated using intracellular and extracellular data. - Liam Paninski; Jonathan W. Pillow; Eero P. Simoncelli (Neurocomputing, 2005)

Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model. - David K. Hammond; Eero P. Simoncelli (ICIP, 2006)

Statistical Modeling of Images with Fields of Gaussian Scale Mixtures. - Siwei Lyu; Eero P. Simoncelli (NIPS, 2006)

Learning to be Bayesian without Supervision. - Martin Raphan; Eero P. Simoncelli (NIPS, 2006)

Nonlinear image representation for efficient perceptual coding. - Jesus Malo; Irene Epifanio; Rafael Fonolla Navarro; Eero P. Simoncelli (IEEE Trans. Image Process., 2006)

Quality-aware images. - Zhou Wang 001; Guixing Wu; Hamid R. Sheikh; Eero P. Simoncelli; En-Hui Yang; Alan C. Bovik (IEEE Trans. Image Process., 2006)

Statistically and perceptually motivated nonlinear image representation. - Siwei Lyu; Eero P. Simoncelli (Human Vision and Electronic Imaging, 2007)

A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods. - David K. Hammond; Eero P. Simoncelli (ICIP (6), 2007)

Optimal Denoising in Redundant Bases. - Martin Raphan; Eero P. Simoncelli (ICIP (3), 2007)

Statistically Driven Sparse Image Approximation. - Rosa M. Figueras i Ventura; Eero P. Simoncelli (ICIP (1), 2007)

A Bayesian Model of Conditioned Perception. - Alan Stocker; Eero P. Simoncelli (NIPS, 2007)

Nonlinear image representation using divisive normalization. - Siwei Lyu; Eero P. Simoncelli (CVPR, 2008)

Contextually adaptive signal representation using conditional principal component analysis. - Rosa M. Figueras i Ventura; Umesh Rajashekar; Zhou Wang 001; Eero P. Simoncelli (ICASSP, 2008)

Image denoising using mixtures of Gaussian scale mixtures. - Jose A. Guerrero-Colon; Eero P. Simoncelli; Javier Portilla (ICIP, 2008)

Reducing statistical dependencies in natural signals using radial Gaussianization. - Siwei Lyu; Eero P. Simoncelli (NIPS, 2008)

Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures. - David K. Hammond; Eero P. Simoncelli (IEEE Trans. Image Process., 2008)

Optimal Denoising in Redundant Representations. - Martin Raphan; Eero P. Simoncelli (IEEE Trans. Image Process., 2008)

Quantifying color image distortions based on adaptive spatio-chromatic signal decompositions. - Umesh Rajashekar; Zhou Wang 001; Eero P. Simoncelli (ICIP, 2009)

Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions. - Fabian H. Sinz; Eero P. Simoncelli; Matthias Bethge (NIPS, 2009)

Sound texture synthesis via filter statistics. - Josh H. McDermott; Andrew J. Oxenham; Eero P. Simoncelli (WASPAA, 2009)

Nonlinear Extraction of Independent Components of Natural Images Using Radial Gaussianization. - Siwei Lyu; Eero P. Simoncelli (Neural Comput., 2009)

Is the Homunculus "Aware" of Sensory Adaptation? - Peggy Seriès; Alan A. Stocker; Eero P. Simoncelli (Neural Comput., 2009)

Modeling Multiscale Subbands of Photographic Images with Fields of Gaussian Scale Mixtures. - Siwei Lyu; Eero P. Simoncelli (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Perceptual quality assessment of color images using adaptive signal representation. - Umesh Rajashekar; Zhou Wang 001; Eero P. Simoncelli (Human Vision and Electronic Imaging, 2010)

Implicit encoding of prior probabilities in optimal neural populations. - Deep Ganguli; Eero P. Simoncelli (NIPS, 2010)

Sparse decomposition of transformation-invariant signals with continuous basis pursuit. - Chaitanya Ekanadham; Daniel Tranchina; Eero P. Simoncelli (ICASSP, 2011)

A blind sparse deconvolution method for neural spike identification. - Chaitanya Ekanadham; Daniel Tranchina; Eero P. Simoncelli (NIPS, 2011)

Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons. - Yan Karklin; Eero P. Simoncelli (NIPS, 2011)

Least Squares Estimation Without Priors or Supervision. - Martin Raphan; Eero P. Simoncelli (Neural Comput., 2011)

Recovery of Sparse Translation-Invariant Signals With Continuous Basis Pursuit. - Chaitanya Ekanadham; Daniel Tranchina; Eero P. Simoncelli (IEEE Trans. Signal Process., 2011)

Hierarchical spike coding of sound. - Yan Karklin; Chaitanya Ekanadham; Eero P. Simoncelli (NIPS, 2012)

Efficient and direct estimation of a neural subunit model for sensory coding. - Brett Vintch; Andrew D. Zaharia; J. Anthony Movshon; Eero P. Simoncelli (NIPS, 2012)

Modeling the impact of common noise inputs on the network activity of retinal ganglion cells. - Michael Vidne; Yashar Ahmadian; Jonathon Shlens; Jonathan W. Pillow; Jayant Kulkarni; Alan M. Litke; E. J. Chichilnisky; Eero P. Simoncelli; Liam Paninski (J. Comput. Neurosci., 2012)

Learning sparse filter bank transforms with convolutional ICA. - Johannes Ballé; Eero P. Simoncelli (ICIP, 2014)

Efficient Sensory Encoding and Bayesian Inference with Heterogeneous Neural Populations. - Deep Ganguli; Eero P. Simoncelli (Neural Comput., 2014)

Geometrical and statistical properties of vision models obtained via maximum differentiation. - Jesús Malo; Eero P. Simoncelli (Human Vision and Electronic Imaging, 2015)

The local low-dimensionality of natural images. - Olivier J. Hénaff; Johannes Ballé; Neil C. Rabinowitz; Eero P. Simoncelli (ICLR, 2015)

Perceptual image quality assessment using a normalized Laplacian pyramid. - Valero Laparra; Johannes Ballé; Alexander Berardino; Eero P. Simoncelli (HVEI, 2016)

End-to-end optimization of nonlinear transform codes for perceptual quality. - Johannes Ballé; Valero Laparra; Eero P. Simoncelli (PCS, 2016)

Density Modeling of Images using a Generalized Normalization Transformation. - Johannes Ballé; Valero Laparra; Eero P. Simoncelli (ICLR, 2016)

Geodesics of learned representations. - Olivier J. Hénaff; Eero P. Simoncelli (ICLR (Poster), 2016)

Neural Quadratic Discriminant Analysis: Nonlinear Decoding with V1-Like Computation. - Marino Pagan; Eero P. Simoncelli; Nicole C. Rust (Neural Comput., 2016)

End-to-end Optimized Image Compression. - Johannes Ballé; Valero Laparra; Eero P. Simoncelli (ICLR, 2017)

Eigen-Distortions of Hierarchical Representations. - Alexander Berardino; Valero Laparra; Johannes Ballé; Eero P. Simoncelli (NIPS, 2017)

Perceptually Optimized Image Rendering. - Valero Laparra; Alexander Berardino; Johannes Ballé; Eero P. Simoncelli (CoRR, 2017)

Blind Image Quality Assessment by Learning from Multiple Annotators. - Kede Ma; Xuelin Liu; Yuming Fang; Eero P. Simoncelli (ICIP, 2019)

Flexible information routing in neural populations through stochastic comodulation. - Caroline Haimerl; Cristina Savin; Eero P. Simoncelli (NeurIPS, 2019)

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

Learning efficient task-dependent representations with synaptic plasticity. - Colin Bredenberg; Eero P. Simoncelli; Cristina Savin (NeurIPS, 2020)

Comparison of Image Quality Models for Optimization of Image Processing Systems. - Keyan Ding; Kede Ma; Shiqi Wang 001; Eero P. Simoncelli (CoRR, 2020)

Self-Supervised Learning of a Biologically-Inspired Visual Texture Model. - Nikhil Parthasarathy; Eero P. Simoncelli (CoRR, 2020)

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

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 (ICCV, 2021)

Impression learning: Online representation learning with synaptic plasticity. - Colin Bredenberg; Benjamin Lyo; Eero P. Simoncelli; Cristina Savin (NeurIPS, 2021)

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

Adaptive Denoising via GainTuning. - Sreyas Mohan; Joshua L. Vincent; Ramon Manzorro; Peter A. Crozier; Carlos Fernandez-Granda; Eero P. Simoncelli (NeurIPS, 2021)

Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems. - Keyan Ding; Kede Ma; Shiqi Wang 001; Eero P. Simoncelli (Int. J. Comput. Vis., 2021)

Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors. - Eric Wu; Nora Brackbill; Alexander Sher; Alan M. Litke; Eero P. Simoncelli; E. J. Chichilnisky (NeurIPS, 2022)

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. - Anthony Zador; Blake A. Richards; Bence Ölveczky; Sean Escola; Yoshua Bengio; Kwabena Boahen 001; Matthew M. Botvinick; Dmitri B. Chklovskii; Anne Churchland; Claudia Clopath; James DiCarlo; Surya Ganguli; et al. (CoRR, 2022)

Image Quality Assessment: Unifying Structure and Texture Similarity. - Keyan Ding; Kede Ma; Shiqi Wang 001; Eero P. Simoncelli (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy. - Sreyas Mohan; Ramon Manzorro; Joshua L. Vincent; Binh Tang; Dev Yashpal Sheth; Eero P. Simoncelli; David S. Matteson; Peter A. Crozier; Carlos Fernandez-Granda (IEEE Trans. Computational Imaging, 2022)

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

Adaptive Whitening in Neural Populations with Gain-modulating Interneurons. - Lyndon R. Duong; David Lipshutz; David J. Heeger; Dmitri B. Chklovskii; Eero P. Simoncelli (ICML, 2023)

Adaptive whitening with fast gain modulation and slow synaptic plasticity. - Lyndon R. Duong; Eero P. Simoncelli; Dmitri B. Chklovskii; David Lipshutz (NeurIPS, 2023)

A polar prediction model for learning to represent visual transformations. - Pierre-Étienne H. Fiquet; Eero P. Simoncelli (NeurIPS, 2023)

Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations. - Thomas E. Yerxa; Yilun Kuang; Eero P. Simoncelli; SueYeon Chung (NeurIPS, 2023)

Comparing neural models using their perceptual discriminability predictions. - Jingyang Zhou; Chanwoo Chun; Ajay Subramanian; Eero P. Simoncelli (UniReps, 2023)

Statistical whitening of neural populations with gain-modulating interneurons. - Lyndon R. Duong; David Lipshutz; David J. Heeger; Dmitri B. Chklovskii; Eero P. Simoncelli (CoRR, 2023)

Polar Prediction of Natural Videos. - Pierre-Étienne H. Fiquet; Eero P. Simoncelli (CoRR, 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)

Shaping the distribution of neural responses with interneurons in a recurrent circuit model. - David Lipshutz; Eero P. Simoncelli (NeurIPS, 2024)

Learning predictable and robust neural representations by straightening image sequences. - Xueyan Niu 002; Cristina Savin; Eero P. Simoncelli (NeurIPS, 2024)

Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT. - Thomas E. Yerxa; Jenelle Feather; Eero P. Simoncelli; SueYeon Chung (NeurIPS, 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)

Video prediction using score-based conditional density estimation. - Pierre-Étienne H. Fiquet; Eero P. Simoncelli (CoRR, 2024)

Layerwise complexity-matched learning yields an improved model of cortical area V2. - Nikhil Parthasarathy; Olivier J. Hénaff; Eero P. Simoncelli (Trans. Mach. Learn. Res., 2024)

Discriminating image representations with principal distortions. - Jenelle Feather; David Lipshutz; Sarah E. Harvey; Alex H. Williams; Eero P. Simoncelli (ICLR, 2025)

Perceptual learning improves discrimination but does not reduce distortions in appearance. - Sarit Felicia Anais Szpiro; Charlie S. Burlingham; Eero P. Simoncelli; Marisa Carrasco (PLoS Comput. Biol., 2025)

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)