Eero P. Simoncelli

148 papers A* 24B 7C 3Misc 4Journal 63Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Blind denoising diffusion models and the blessings of dimensionality. CoRR Zahra Kadkhodaie, Aram-Alexandre Pooladian, Sinho Chewi, Eero P. Simoncelli
2025	A*	`conf`	Discriminating image representations with principal distortions. ICLR Jenelle Feather, David Lipshutz, Sarah E. Harvey, Alex H. Williams, Eero P. Simoncelli
2025	J	`jnl`	Disentangled representations via score-based variational autoencoders. CoRR Benjamin Lyo, Eero P. Simoncelli, Cristina Savin
2025	J	`jnl`	Elucidating the representation of images within an unconditional diffusion model denoiser. CoRR Zahra Kadkhodaie, Stéphane Mallat, Eero P. Simoncelli
2025	J	`jnl`	Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models. Trans. Mach. Learn. Res. Ling-Qi Zhang, Zahra Kadkhodaie, Eero P. Simoncelli, David H. Brainard
2025	J	`jnl`	Learning a distance measure from the information-estimation geometry of data. CoRR Guy Ohayon, Pierre-Étienne H. Fiquet, Florentin Guth, Jona Ballé, Eero P. Simoncelli
2025	J	`jnl`	Learning normalized image densities via dual score matching. CoRR Florentin Guth, Zahra Kadkhodaie, Eero P. Simoncelli
2025	J	`jnl`	Perceptual learning improves discrimination but does not reduce distortions in appearance. PLoS Comput. Biol. Sarit Felicia Anais Szpiro, Charlie S. Burlingham, Eero P. Simoncelli, Marisa Carrasco
2024	A*	`conf`	Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT. NeurIPS Thomas E. Yerxa, Jenelle Feather, Eero P. Simoncelli, SueYeon Chung
2024	J	`jnl`	Discriminating image representations with principal distortions. CoRR Jenelle Feather, David Lipshutz, Sarah E. Harvey, Alex H. Williams, Eero P. Simoncelli
2024	J	`jnl`	Feature-guided score diffusion for sampling conditional densities. CoRR Zahra Kadkhodaie, Stéphane Mallat, Eero P. Simoncelli
2024	A*	`conf`	Generalization in diffusion models arises from geometry-adaptive harmonic representations. ICLR Zahra Kadkhodaie, Florentin Guth, Eero P. Simoncelli, Stéphane Mallat
2024	J	`jnl`	Layerwise complexity-matched learning yields an improved model of cortical area V2. Trans. Mach. Learn. Res. Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli
2024	A*	`conf`	Learning predictable and robust neural representations by straightening image sequences. NeurIPS Xueyan Niu, Cristina Savin, Eero P. Simoncelli
2024	J	`jnl`	Learning predictable and robust neural representations by straightening image sequences. CoRR Xueyan Niu, Cristina Savin, Eero P. Simoncelli
2024	J	`jnl`	Optimized Linear Measurements for Inverse Problems using Diffusion-Based Image Generation. CoRR Ling-Qi Zhang, Zahra Kadkhodaie, Eero P. Simoncelli, David H. Brainard
2024	A*	`conf`	Shaping the distribution of neural responses with interneurons in a recurrent circuit model. NeurIPS David Lipshutz, Eero P. Simoncelli
2024	J	`jnl`	Video prediction using score-based conditional density estimation. CoRR Pierre-Étienne H. Fiquet, Eero P. Simoncelli
2023	A*	`conf`	A polar prediction model for learning to represent visual transformations. NeurIPS Pierre-Étienne H. Fiquet, Eero P. Simoncelli
2023	A*	`conf`	Adaptive Whitening in Neural Populations with Gain-modulating Interneurons. ICML Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli
2023	A*	`conf`	Adaptive whitening with fast gain modulation and slow synaptic plasticity. NeurIPS Lyndon R. Duong, Eero P. Simoncelli, Dmitri B. Chklovskii, David Lipshutz
2023	J	`jnl`	Adaptive whitening with fast gain modulation and slow synaptic plasticity. CoRR Lyndon R. Duong, Eero P. Simoncelli, Dmitri B. Chklovskii, David Lipshutz
2023	—	`conf`	Comparing neural models using their perceptual discriminability predictions. UniReps Jingyang Zhou, Chanwoo Chun, Ajay Subramanian, Eero P. Simoncelli
2023	J	`jnl`	Generalization in diffusion models arises from geometry-adaptive harmonic representation. CoRR Zahra Kadkhodaie, Florentin Guth, Eero P. Simoncelli, Stéphane Mallat
2023	J	`jnl`	Layerwise complexity-matched learning yields an improved model of cortical area V2. CoRR Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli
2023	A*	`conf`	Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations. NeurIPS Thomas E. Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung
2023	J	`jnl`	Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations. CoRR Thomas E. Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung
2023	A*	`conf`	Learning multi-scale local conditional probability models of images. ICLR Zahra Kadkhodaie, Florentin Guth, Stéphane Mallat, Eero P. Simoncelli
2023	J	`jnl`	Learning multi-scale local conditional probability models of images. CoRR Zahra Kadkhodaie, Florentin Guth, Stéphane Mallat, Eero P. Simoncelli
2023	J	`jnl`	Polar Prediction of Natural Videos. CoRR Pierre-Étienne H. Fiquet, Eero P. Simoncelli
2023	J	`jnl`	Statistical whitening of neural populations with gain-modulating interneurons. CoRR Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli
2022	J	`jnl`	Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy. IEEE Trans. Computational Imaging Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda
2022	J	`jnl`	Image Quality Assessment: Unifying Structure and Texture Similarity. IEEE Trans. Pattern Anal. Mach. Intell. Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli
2022	A*	`conf`	Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors. NeurIPS Eric Wu, Nora Brackbill, Alexander Sher, Alan M. Litke, Eero P. Simoncelli, E. J. Chichilnisky
2022	J	`jnl`	Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR Anthony Zador, Blake A. Richards, Bence Ölveczky, Sean Escola, Yoshua Bengio, Kwabena Boahen, Matthew M. Botvinick, Dmitri B. Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad P. Körding, Alexei A. Koulakov, Yann LeCun, Timothy P. Lillicrap, Adam H. Marblestone, Bruno A. Olshausen, Alexandre Pouget, Cristina Savin, Terrence J. Sejnowski, Eero P. Simoncelli, Sara A. Solla, David Sussillo, Andreas S. Tolias, Doris Tsao
2021	A*	`conf`	Adaptive Denoising via GainTuning. NeurIPS Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Carlos Fernandez-Granda, Eero P. Simoncelli
2021	J	`jnl`	Adaptive Denoising via GainTuning. CoRR Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Eero P. Simoncelli, Carlos Fernandez-Granda
2021	J	`jnl`	Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems. Int. J. Comput. Vis. Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli
2021	A*	`conf`	Impression learning: Online representation learning with synaptic plasticity. NeurIPS Colin Bredenberg, Benjamin Lyo, Eero P. Simoncelli, Cristina Savin
2021	A*	`conf`	Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser. NeurIPS Zahra Kadkhodaie, Eero P. Simoncelli
2021	A*	`conf`	Unsupervised Deep Video Denoising. ICCV Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda
2020	J	`jnl`	Comparison of Image Quality Models for Optimization of Image Processing Systems. CoRR Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli
2020	J	`jnl`	Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy. CoRR Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda
2020	J	`jnl`	Image Quality Assessment: Unifying Structure and Texture Similarity. CoRR Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli
2020	A*	`conf`	Learning efficient task-dependent representations with synaptic plasticity. NeurIPS Colin Bredenberg, Eero P. Simoncelli, Cristina Savin
2020	A*	`conf`	Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks. ICLR Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda
2020	J	`jnl`	Self-Supervised Learning of a Biologically-Inspired Visual Texture Model. CoRR Nikhil Parthasarathy, Eero P. Simoncelli
2020	J	`jnl`	Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser. CoRR Zahra Kadkhodaie, Eero P. Simoncelli
2020	J	`jnl`	Unsupervised Deep Video Denoising. CoRR Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda
2019	B	`conf`	Blind Image Quality Assessment by Learning from Multiple Annotators. ICIP Kede Ma, Xuelin Liu, Yuming Fang, Eero P. Simoncelli
2019	A*	`conf`	Flexible information routing in neural populations through stochastic comodulation. NeurIPS Caroline Haimerl, Cristina Savin, Eero P. Simoncelli
2019	J	`jnl`	Robust and interpretable blind image denoising via bias-free convolutional neural networks. CoRR Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda
2017	—	`conf`	Eigen-Distortions of Hierarchical Representations. NIPS Alexander Berardino, Valero Laparra, Johannes Ballé, Eero P. Simoncelli
2017	J	`jnl`	Eigen-Distortions of Hierarchical Representations. CoRR Alexander Berardino, Johannes Ballé, Valero Laparra, Eero P. Simoncelli
2017	—	`conf`	End-to-end Optimized Image Compression. ICLR Johannes Ballé, Valero Laparra, Eero P. Simoncelli
2017	J	`jnl`	Perceptually Optimized Image Rendering. CoRR Valero Laparra, Alexander Berardino, Johannes Ballé, Eero P. Simoncelli
2016	A*	`conf`	Density Modeling of Images using a Generalized Normalization Transformation. ICLR Johannes Ballé, Valero Laparra, Eero P. Simoncelli
2016	J	`jnl`	End-to-end Optimized Image Compression. CoRR Johannes Ballé, Valero Laparra, Eero P. Simoncelli
2016	C	`conf`	End-to-end optimization of nonlinear transform codes for perceptual quality. PCS Johannes Ballé, Valero Laparra, Eero P. Simoncelli
2016	J	`jnl`	End-to-end optimization of nonlinear transform codes for perceptual quality. CoRR Johannes Ballé, Valero Laparra, Eero P. Simoncelli
2016	A*	`conf`	Geodesics of learned representations. ICLR (Poster) Olivier J. Hénaff, Eero P. Simoncelli
2016	J	`jnl`	Neural Quadratic Discriminant Analysis: Nonlinear Decoding with V1-Like Computation. Neural Comput. Marino Pagan, Eero P. Simoncelli, Nicole C. Rust
2016	—	`conf`	Perceptual image quality assessment using a normalized Laplacian pyramid. HVEI Valero Laparra, Johannes Ballé, Alexander Berardino, Eero P. Simoncelli
2015	—	`conf`	Geometrical and statistical properties of vision models obtained via maximum differentiation. Human Vision and Electronic Imaging Jesús Malo, Eero P. Simoncelli
2015	—	`conf`	The local low-dimensionality of natural images. ICLR Olivier J. Hénaff, Johannes Ballé, Neil C. Rabinowitz, Eero P. Simoncelli
2014	J	`jnl`	Efficient Sensory Encoding and Bayesian Inference with Heterogeneous Neural Populations. Neural Comput. Deep Ganguli, Eero P. Simoncelli
2014	B	`conf`	Learning sparse filter bank transforms with convolutional ICA. ICIP Johannes Ballé, Eero P. Simoncelli
2012	—	`conf`	Efficient and direct estimation of a neural subunit model for sensory coding. NIPS Brett Vintch, Andrew D. Zaharia, J. Anthony Movshon, Eero P. Simoncelli
2012	—	`conf`	Hierarchical spike coding of sound. NIPS Yan Karklin, Chaitanya Ekanadham, Eero P. Simoncelli
2012	J	`jnl`	Modeling the impact of common noise inputs on the network activity of retinal ganglion cells. J. Comput. Neurosci. Michael Vidne, Yashar Ahmadian, Jonathon Shlens, Jonathan W. Pillow, Jayant Kulkarni, Alan M. Litke, E. J. Chichilnisky, Eero P. Simoncelli, Liam Paninski
2011	—	`conf`	A blind sparse deconvolution method for neural spike identification. NIPS Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
2011	—	`conf`	Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons. NIPS Yan Karklin, Eero P. Simoncelli
2011	J	`jnl`	Least Squares Estimation Without Priors or Supervision. Neural Comput. Martin Raphan, Eero P. Simoncelli
2011	J	`jnl`	Recovery of Sparse Translation-Invariant Signals With Continuous Basis Pursuit. IEEE Trans. Signal Process. Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
2011	Misc	`conf`	Sparse decomposition of transformation-invariant signals with continuous basis pursuit. ICASSP Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
2010	—	`conf`	Implicit encoding of prior probabilities in optimal neural populations. NIPS Deep Ganguli, Eero P. Simoncelli
2010	—	`conf`	Perceptual quality assessment of color images using adaptive signal representation. Human Vision and Electronic Imaging Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli
2009	—	`conf`	Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions. NIPS Fabian H. Sinz, Eero P. Simoncelli, Matthias Bethge
2009	J	`jnl`	Is the Homunculus "Aware" of Sensory Adaptation? Neural Comput. Peggy Seriès, Alan A. Stocker, Eero P. Simoncelli
2009	J	`jnl`	Modeling Multiscale Subbands of Photographic Images with Fields of Gaussian Scale Mixtures. IEEE Trans. Pattern Anal. Mach. Intell. Siwei Lyu, Eero P. Simoncelli
2009	J	`jnl`	Nonlinear Extraction of Independent Components of Natural Images Using Radial Gaussianization. Neural Comput. Siwei Lyu, Eero P. Simoncelli
2009	B	`conf`	Quantifying color image distortions based on adaptive spatio-chromatic signal decompositions. ICIP Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli
2009	—	`conf`	Sound texture synthesis via filter statistics. WASPAA Josh H. McDermott, Andrew J. Oxenham, Eero P. Simoncelli
2008	Misc	`conf`	Contextually adaptive signal representation using conditional principal component analysis. ICASSP Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli
2008	J	`jnl`	Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures. IEEE Trans. Image Process. David K. Hammond, Eero P. Simoncelli
2008	B	`conf`	Image denoising using mixtures of Gaussian scale mixtures. ICIP Jose A. Guerrero-Colon, Eero P. Simoncelli, Javier Portilla
2008	A*	`conf`	Nonlinear image representation using divisive normalization. CVPR Siwei Lyu, Eero P. Simoncelli
2008	J	`jnl`	Optimal Denoising in Redundant Representations. IEEE Trans. Image Process. Martin Raphan, Eero P. Simoncelli
2008	—	`conf`	Reducing statistical dependencies in natural signals using radial Gaussianization. NIPS Siwei Lyu, Eero P. Simoncelli
2007	—	`conf`	A Bayesian Model of Conditioned Perception. NIPS Alan Stocker, Eero P. Simoncelli
2007	—	`conf`	A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods. ICIP (6) David K. Hammond, Eero P. Simoncelli
2007	—	`conf`	Optimal Denoising in Redundant Bases. ICIP (3) Martin Raphan, Eero P. Simoncelli
2007	—	`conf`	Statistically Driven Sparse Image Approximation. ICIP (1) Rosa M. Figueras i Ventura, Eero P. Simoncelli
2007	—	`conf`	Statistically and perceptually motivated nonlinear image representation. Human Vision and Electronic Imaging Siwei Lyu, Eero P. Simoncelli
2006	B	`conf`	Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model. ICIP David K. Hammond, Eero P. Simoncelli
2006	—	`conf`	Learning to be Bayesian without Supervision. NIPS Martin Raphan, Eero P. Simoncelli
2006	J	`jnl`	Nonlinear image representation for efficient perceptual coding. IEEE Trans. Image Process. Jesus Malo, Irene Epifanio, Rafael Fonolla Navarro, Eero P. Simoncelli
2006	J	`jnl`	Quality-aware images. IEEE Trans. Image Process. Zhou Wang, Guixing Wu, Hamid R. Sheikh, Eero P. Simoncelli, En-Hui Yang, Alan C. Bovik
2006	—	`conf`	Statistical Modeling of Images with Fields of Gaussian Scale Mixtures. NIPS Siwei Lyu, Eero P. Simoncelli
2005	—	`conf`	An adaptive linear system framework for image distortion analysis. ICIP (3) Zhou Wang, Eero P. Simoncelli
2005	J	`jnl`	Comparing integrate-and-fire models estimated using intracellular and extracellular data. Neurocomputing Liam Paninski, Jonathan W. Pillow, Eero P. Simoncelli
2005	—	`conf`	Locally adaptive multiscale contrast optimization. ICIP (1) Nicolas Bonnier, Eero P. Simoncelli
2005	—	`conf`	Reduced-reference image quality assessment using a wavelet-domain natural image statistic model. Human Vision and Electronic Imaging Zhou Wang, Eero P. Simoncelli
2005	—	`conf`	Sensory Adaptation within a Bayesian Framework for Perception. NIPS Alan Stocker, Eero P. Simoncelli
2005	—	`conf`	Translation Insensitive Image Similarity in Complex Wavelet Domain. ICASSP (2) Zhou Wang, Eero P. Simoncelli
2004	—	`conf`	Constraining a Bayesian Model of Human Visual Speed Perception. NIPS Alan Stocker, Eero P. Simoncelli
2004	J	`jnl`	Differentiation of discrete multidimensional signals. IEEE Trans. Image Process. Hany Farid, Eero P. Simoncelli
2004	J	`jnl`	Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, Eero P. Simoncelli
2004	—	`conf`	Machine Learning Applied to Perception: Decision Images for Gender Classification. NIPS Felix A. Wichmann, Arnulf B. A. Graf, Eero P. Simoncelli, Heinrich H. Bülthoff, Bernhard Schölkopf
2004	J	`jnl`	Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model. Neural Comput. Liam Paninski, Jonathan W. Pillow, Eero P. Simoncelli
2004	J	`jnl`	Spike-triggered characterization of excitatory and suppressive stimulus dimensions in monkey V1. Neurocomputing Nicole C. Rust, Odelia Schwartz, J. Anthony Movshon, Eero P. Simoncelli
2004	—	`conf`	Stimulus synthesis for efficient evaluation and refinement of perceptual image quality metrics. Human Vision and Electronic Imaging Zhou Wang, Eero P. Simoncelli
2003	J	`jnl`	Biases in white noise analysis due to non-Poisson spike generation. Neurocomputing Jonathan W. Pillow, Eero P. Simoncelli
2003	—	`conf`	Directly Invertible Nonlinear Divisive Normalization Pyramid for Image Representation. VLBV Roberto Valerio, Eero P. Simoncelli, Rafael Fonolla Navarro
2003	J	`jnl`	Image denoising using scale mixtures of Gaussians in the wavelet domain. IEEE Trans. Image Process. Javier Portilla, Vasily Strela, Martin J. Wainwright, Eero P. Simoncelli
2003	—	`conf`	Image restoration using Gaussian scale mixtures in the wavelet domain. ICIP (2) Javier Portilla, Eero P. Simoncelli
2003	—	`conf`	Local Phase Coherence and the Perception of Blur. NIPS Zhou Wang, Eero P. Simoncelli
2003	—	`conf`	Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model. NIPS Jonathan W. Pillow, Liam Paninski, Eero P. Simoncelli
2003	J	`jnl`	On Advances in Statistical Modeling of Natural Images. J. Math. Imaging Vis. A. Srivastava, A. B. Lee, Eero P. Simoncelli, S.-C. Zhu
2001	—	`conf`	Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain. ICIP (2) Vasily Strela, Javier Portilla, Martin J. Wainwright, Eero P. Simoncelli
2001	—	`conf`	Characterizing Neural Gain Control using Spike-triggered Covariance. NIPS Odelia Schwartz, E. J. Chichilnisky, Eero P. Simoncelli
2001	J	`jnl`	Modeling temporal response characteristics of V1 neurons with a dynamic normalization model. Neurocomputing Samuel Mikaelian, Eero P. Simoncelli
2000	J	`jnl`	A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients. Int. J. Comput. Vis. Javier Portilla, Eero P. Simoncelli
2000	A*	`conf`	Color Channels Decorrelation by ICA Transformation in the Wavelet Domain for Color Texture Analysis and Synthesis. CVPR Yufeng Liang, Eero P. Simoncelli, Zhibin Lei
2000	B	`conf`	Image Denoising via Adjustment of Wavelet Coefficient Magnitude Correlation. ICIP Javier Portilla, Eero P. Simoncelli
2000	—	`conf`	Natural Sound Statistics and Divisive Normalization in the Auditory System. NIPS Odelia Schwartz, Eero P. Simoncelli
2000	B	`conf`	Random Cascades of Gaussian Scale Mixtures and Their Use in Modeling Natural Images With Application to Denoising. ICIP Martin J. Wainwright, Eero P. Simoncelli, Alan S. Willsky
1999	J	`jnl`	Image compression via joint statistical characterization in the wavelet domain. IEEE Trans. Image Process. Robert W. Buccigrossi, Eero P. Simoncelli
1999	—	`conf`	Scale Mixtures of Gaussians and the Statistics of Natural Images. NIPS Martin J. Wainwright, Eero P. Simoncelli
1998	—	`conf`	Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model. NIPS Eero P. Simoncelli, Odelia Schwartz
1998	—	`conf`	Texture Characterization via Joint Statistics of Wavelet Coefficient Magnitudes. ICIP (1) Eero P. Simoncelli, Javier Portilla
1997	C	`conf`	Discrete-Time Rigidity-Constrained Optical Flow. CAIP Jeffrey Mendelsohn, Eero P. Simoncelli, Ruzena Bajcsy
1997	—	`conf`	Embedded Wavelet Image Compression Based On A Joint Probability Model. ICIP (1) Eero P. Simoncelli, Robert W. Buccigrossi
1997	C	`conf`	Optimally Rotation-Equivariant Directional Derivative Kernels. CAIP Hany Farid, Eero P. Simoncelli
1997	Misc	`conf`	Progressive wavelet image coding based on a conditional probability model. ICASSP Robert W. Buccigrossi, Eero P. Simoncelli
1996	Misc	`conf`	A filter design technique for steerable pyramid image transforms. ICASSP Anestis Karasaridis, Eero P. Simoncelli
1996	—	`conf`	A rotation invariant pattern signature. ICIP (3) Eero P. Simoncelli
1996	—	`conf`	Direct Differential Range Estimation Using Optical Masks. ECCV (2) Eero P. Simoncelli, Hany Farid
1996	—	`conf`	Noise removal via Bayesian wavelet coring. ICIP (1) Eero P. Simoncelli, Edward H. Adelson
1996	J	`jnl`	Steerable wedge filters for local orientation analysis. IEEE Trans. Image Process. Eero P. Simoncelli, Hany Farid
1995	J	`jnl`	Rendering Spaces for Architectural Environments. Presence Teleoperators Virtual Environ. Jeffry Nimeroff, Eero P. Simoncelli, Julie Dorsey, Norman I. Badler
1995	A*	`conf`	Steerable Wedge Filters. ICCV Eero P. Simoncelli, Hany Farid
1995	—	`conf`	The steerable pyramid: a flexible architecture for multi-scale derivative computation. ICIP (3) Eero P. Simoncelli, William T. Freeman
1994	—	`conf`	Design of Multi-Dimensional Derivative Filters. ICIP (1) Eero P. Simoncelli
1993	—	`—`	Distributed representation and analysis of visual motion. Eero P. Simoncelli
1992	J	`jnl`	Shiftable multiscale transforms. IEEE Trans. Inf. Theory Eero P. Simoncelli, William T. Freeman, Edward H. Adelson, David J. Heeger
1991	A*	`conf`	Probability distributions of optical flow. CVPR Eero P. Simoncelli, Edward H. Adelson, David J. Heeger
1990	J	`jnl`	Non-separable extensions of quadrature mirror filters to multiple dimensions. Proc. IEEE Eero P. Simoncelli, Edward H. Adelson