Eero P. Simoncelli

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 49

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Zahra Kadkhodaie, Florentin Guth, Eero P. Simoncelli, Stéphane Mallat
Generalization in diffusion models arises from geometry-adaptive harmonic representations. ICLR (2024)
Ling-Qi Zhang, Zahra Kadkhodaie, Eero P. Simoncelli, David H. Brainard
Optimized Linear Measurements for Inverse Problems using Diffusion-Based Image Generation. CoRR (2024)
Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli
Layerwise complexity-matched learning yields an improved model of cortical area V2. Trans. Mach. Learn. Res. 2024 (2024)
Lyndon R. Duong, Eero P. Simoncelli, Dmitri B. Chklovskii, David Lipshutz
Adaptive whitening with fast gain modulation and slow synaptic plasticity. CoRR (2023)
Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli
Statistical whitening of neural populations with gain-modulating interneurons. CoRR (2023)
Pierre-Étienne H. Fiquet, Eero P. Simoncelli
Polar Prediction of Natural Videos. CoRR (2023)
Zahra Kadkhodaie, Florentin Guth, Stéphane Mallat, Eero P. Simoncelli
Learning multi-scale local conditional probability models of images. CoRR (2023)
Jingyang Zhou, Chanwoo Chun, Ajay Subramanian, Eero P. Simoncelli
Comparing neural models using their perceptual discriminability predictions. UniReps (2023)
Zahra Kadkhodaie, Florentin Guth, Eero P. Simoncelli, Stéphane Mallat
Generalization in diffusion models arises from geometry-adaptive harmonic representation. CoRR (2023)
Pierre-Étienne H. Fiquet, Eero P. Simoncelli
A polar prediction model for learning to represent visual transformations. NeurIPS (2023)
Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli
Layerwise complexity-matched learning yields an improved model of cortical area V2. CoRR (2023)
Zahra Kadkhodaie, Florentin Guth, Stéphane Mallat, Eero P. Simoncelli
Learning multi-scale local conditional probability models of images. ICLR (2023)
Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli
Adaptive Whitening in Neural Populations with Gain-modulating Interneurons. ICML (2023)
Thomas E. Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations. CoRR (2023)
Thomas E. Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations. NeurIPS (2023)
Eric Wu, Nora Brackbill, Alexander Sher, Alan M. Litke, Eero P. Simoncelli, E. J. Chichilnisky
Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors. NeurIPS (2022)
Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli
Image Quality Assessment: Unifying Structure and Texture Similarity. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
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
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR (2022)
Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda
Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy. IEEE Trans. Computational Imaging 8 (2022)
Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli
Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems. Int. J. Comput. Vis. 129 (4) (2021)
Zahra Kadkhodaie, Eero P. Simoncelli
Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser. NeurIPS (2021)
Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda
Unsupervised Deep Video Denoising. ICCV (2021)
Colin Bredenberg, Benjamin Lyo, Eero P. Simoncelli, Cristina Savin
Impression learning: Online representation learning with synaptic plasticity. NeurIPS (2021)
Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Eero P. Simoncelli, Carlos Fernandez-Granda
Adaptive Denoising via GainTuning. CoRR (2021)
Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Carlos Fernandez-Granda, Eero P. Simoncelli
Adaptive Denoising via GainTuning. NeurIPS (2021)
Nikhil Parthasarathy, Eero P. Simoncelli
Self-Supervised Learning of a Biologically-Inspired Visual Texture Model. CoRR (2020)
Colin Bredenberg, Eero P. Simoncelli, Cristina Savin
Learning efficient task-dependent representations with synaptic plasticity. NeurIPS (2020)
Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda
Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy. CoRR (2020)
Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli
Comparison of Image Quality Models for Optimization of Image Processing Systems. CoRR (2020)
Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda
Unsupervised Deep Video Denoising. CoRR (2020)
Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli
Image Quality Assessment: Unifying Structure and Texture Similarity. CoRR (2020)
Zahra Kadkhodaie, Eero P. Simoncelli
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser. CoRR (2020)
Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda
Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks. ICLR (2020)
Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda
Robust and interpretable blind image denoising via bias-free convolutional neural networks. CoRR (2019)
Kede Ma, Xuelin Liu, Yuming Fang, Eero P. Simoncelli
Blind Image Quality Assessment by Learning from Multiple Annotators. ICIP (2019)
Caroline Haimerl, Cristina Savin, Eero P. Simoncelli
Flexible information routing in neural populations through stochastic comodulation. NeurIPS (2019)
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
End-to-end Optimized Image Compression. ICLR (2017)
Alexander Berardino, Valero Laparra, Johannes Ballé, Eero P. Simoncelli
Eigen-Distortions of Hierarchical Representations. NIPS (2017)
Valero Laparra, Alexander Berardino, Johannes Ballé, Eero P. Simoncelli
Perceptually Optimized Image Rendering. CoRR (2017)
Alexander Berardino, Johannes Ballé, Valero Laparra, Eero P. Simoncelli
Eigen-Distortions of Hierarchical Representations. CoRR (2017)
Valero Laparra, Johannes Ballé, Alexander Berardino, Eero P. Simoncelli
Perceptual image quality assessment using a normalized Laplacian pyramid. HVEI (2016)
Olivier J. Hénaff, Eero P. Simoncelli
Geodesics of learned representations. ICLR (Poster) (2016)
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
Density Modeling of Images using a Generalized Normalization Transformation. ICLR (2016)
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
End-to-end optimization of nonlinear transform codes for perceptual quality. PCS (2016)
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
End-to-end Optimized Image Compression. CoRR (2016)
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
End-to-end optimization of nonlinear transform codes for perceptual quality. CoRR (2016)
Marino Pagan, Eero P. Simoncelli, Nicole C. Rust
Neural Quadratic Discriminant Analysis: Nonlinear Decoding with V1-Like Computation. Neural Comput. 28 (11) (2016)
Jesús Malo, Eero P. Simoncelli
Geometrical and statistical properties of vision models obtained via maximum differentiation. Human Vision and Electronic Imaging (2015)
Olivier J. Hénaff, Johannes Ballé, Neil C. Rabinowitz, Eero P. Simoncelli
The local low-dimensionality of natural images. ICLR (2015)
Deep Ganguli, Eero P. Simoncelli
Efficient Sensory Encoding and Bayesian Inference with Heterogeneous Neural Populations. Neural Comput. 26 (10) (2014)
Johannes Ballé, Eero P. Simoncelli
Learning sparse filter bank transforms with convolutional ICA. ICIP (2014)
Yan Karklin, Chaitanya Ekanadham, Eero P. Simoncelli
Hierarchical spike coding of sound. NIPS (2012)
Brett Vintch, Andrew D. Zaharia, J. Anthony Movshon, Eero P. Simoncelli
Efficient and direct estimation of a neural subunit model for sensory coding. NIPS (2012)
Michael Vidne, Yashar Ahmadian, Jonathon Shlens, Jonathan W. Pillow, Jayant Kulkarni, Alan M. Litke, E. J. Chichilnisky, Eero P. Simoncelli, Liam Paninski
Modeling the impact of common noise inputs on the network activity of retinal ganglion cells. J. Comput. Neurosci. 33 (1) (2012)
Martin Raphan, Eero P. Simoncelli
Least Squares Estimation Without Priors or Supervision. Neural Comput. 23 (2) (2011)
Yan Karklin, Eero P. Simoncelli
Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons. NIPS (2011)
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
A blind sparse deconvolution method for neural spike identification. NIPS (2011)
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
Recovery of Sparse Translation-Invariant Signals With Continuous Basis Pursuit. IEEE Trans. Signal Process. 59 (10) (2011)
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
Sparse decomposition of transformation-invariant signals with continuous basis pursuit. ICASSP (2011)
Deep Ganguli, Eero P. Simoncelli
Implicit encoding of prior probabilities in optimal neural populations. NIPS (2010)
Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli
Perceptual quality assessment of color images using adaptive signal representation. Human Vision and Electronic Imaging (2010)
Siwei Lyu, Eero P. Simoncelli
Modeling Multiscale Subbands of Photographic Images with Fields of Gaussian Scale Mixtures. IEEE Trans. Pattern Anal. Mach. Intell. 31 (4) (2009)
Siwei Lyu, Eero P. Simoncelli
Nonlinear Extraction of Independent Components of Natural Images Using Radial Gaussianization. Neural Comput. 21 (6) (2009)
Fabian H. Sinz, Eero P. Simoncelli, Matthias Bethge
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions. NIPS (2009)
Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli
Quantifying color image distortions based on adaptive spatio-chromatic signal decompositions. ICIP (2009)
Josh H. McDermott, Andrew J. Oxenham, Eero P. Simoncelli
Sound texture synthesis via filter statistics. WASPAA (2009)
Peggy Seriès, Alan A. Stocker, Eero P. Simoncelli
Is the Homunculus "Aware" of Sensory Adaptation? Neural Comput. 21 (12) (2009)
David K. Hammond, Eero P. Simoncelli
Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures. IEEE Trans. Image Process. 17 (11) (2008)
Martin Raphan, Eero P. Simoncelli
Optimal Denoising in Redundant Representations. IEEE Trans. Image Process. 17 (8) (2008)
Jose A. Guerrero-Colon, Eero P. Simoncelli, Javier Portilla
Image denoising using mixtures of Gaussian scale mixtures. ICIP (2008)
Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli
Contextually adaptive signal representation using conditional principal component analysis. ICASSP (2008)
Siwei Lyu, Eero P. Simoncelli
Nonlinear image representation using divisive normalization. CVPR (2008)
Siwei Lyu, Eero P. Simoncelli
Reducing statistical dependencies in natural signals using radial Gaussianization. NIPS (2008)
Rosa M. Figueras i Ventura, Eero P. Simoncelli
Statistically Driven Sparse Image Approximation. ICIP (1) (2007)
Siwei Lyu, Eero P. Simoncelli
Statistically and perceptually motivated nonlinear image representation. Human Vision and Electronic Imaging (2007)
Alan Stocker, Eero P. Simoncelli
A Bayesian Model of Conditioned Perception. NIPS (2007)
Martin Raphan, Eero P. Simoncelli
Optimal Denoising in Redundant Bases. ICIP (3) (2007)
David K. Hammond, Eero P. Simoncelli
A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods. ICIP (6) (2007)
Siwei Lyu, Eero P. Simoncelli
Statistical Modeling of Images with Fields of Gaussian Scale Mixtures. NIPS (2006)
Martin Raphan, Eero P. Simoncelli
Learning to be Bayesian without Supervision. NIPS (2006)
Jesus Malo, Irene Epifanio, Rafael Fonolla Navarro, Eero P. Simoncelli
Nonlinear image representation for efficient perceptual coding. IEEE Trans. Image Process. 15 (1) (2006)
David K. Hammond, Eero P. Simoncelli
Image Denoising with an Orientation-Adaptive Gaussian Scale Mixture Model. ICIP (2006)
Zhou Wang, Guixing Wu, Hamid R. Sheikh, Eero P. Simoncelli, En-Hui Yang, Alan C. Bovik
Quality-aware images. IEEE Trans. Image Process. 15 (6) (2006)
Zhou Wang, Eero P. Simoncelli
An adaptive linear system framework for image distortion analysis. ICIP (3) (2005)
Zhou Wang, Eero P. Simoncelli
Reduced-reference image quality assessment using a wavelet-domain natural image statistic model. Human Vision and Electronic Imaging (2005)
Zhou Wang, Eero P. Simoncelli
Translation Insensitive Image Similarity in Complex Wavelet Domain. ICASSP (2) (2005)
Nicolas Bonnier, Eero P. Simoncelli
Locally adaptive multiscale contrast optimization. ICIP (1) (2005)
Liam Paninski, Jonathan W. Pillow, Eero P. Simoncelli
Comparing integrate-and-fire models estimated using intracellular and extracellular data. Neurocomputing (2005)
Alan Stocker, Eero P. Simoncelli
Sensory Adaptation within a Bayesian Framework for Perception. NIPS (2005)
Liam Paninski, Jonathan W. Pillow, Eero P. Simoncelli
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model. Neural Comput. 16 (12) (2004)
Hany Farid, Eero P. Simoncelli
Differentiation of discrete multidimensional signals. IEEE Trans. Image Process. 13 (4) (2004)
Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, Eero P. Simoncelli
Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13 (4) (2004)
Zhou Wang, Eero P. Simoncelli
Stimulus synthesis for efficient evaluation and refinement of perceptual image quality metrics. Human Vision and Electronic Imaging (2004)
Nicole C. Rust, Odelia Schwartz, J. Anthony Movshon, Eero P. Simoncelli
Spike-triggered characterization of excitatory and suppressive stimulus dimensions in monkey V1. Neurocomputing (2004)
Alan Stocker, Eero P. Simoncelli
Constraining a Bayesian Model of Human Visual Speed Perception. NIPS (2004)
Felix A. Wichmann, Arnulf B. A. Graf, Eero P. Simoncelli, Heinrich H. Bülthoff, Bernhard Schölkopf
Machine Learning Applied to Perception: Decision Images for Gender Classification. NIPS (2004)
Roberto Valerio, Eero P. Simoncelli, Rafael Fonolla Navarro
Directly Invertible Nonlinear Divisive Normalization Pyramid for Image Representation. VLBV (2003)
Javier Portilla, Eero P. Simoncelli
Image restoration using Gaussian scale mixtures in the wavelet domain. ICIP (2) (2003)
Zhou Wang, Eero P. Simoncelli
Local Phase Coherence and the Perception of Blur. NIPS (2003)
Jonathan W. Pillow, Eero P. Simoncelli
Biases in white noise analysis due to non-Poisson spike generation. Neurocomputing (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Eero P. Simoncelli