ML Anthology

Simoncelli, Eero P.

54 publications

ICLR 2025 Discriminating Image Representations with Principal Distortions Jenelle Feather, David Lipshutz, Sarah E Harvey, Alex H Williams, Eero P Simoncelli
TMLR 2025 Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models Ling-Qi Zhang, Zahra Kadkhodaie, Eero P Simoncelli, David H. Brainard
NeurIPS 2025 Learning Normalized Image Densities via Dual Score Matching Florentin Guth, Zahra Kadkhodaie, Eero P Simoncelli
ICLRW 2025 Probabilistic Video Prediction Using Conditional Score Diffusion Pierre-Etienne H Fiquet, Eero P Simoncelli
NeurIPSW 2024 Comparing the Local Information Geometry of Image Representations David Lipshutz, Jenelle Feather, Sarah E Harvey, Alex H Williams, Eero P Simoncelli
NeurIPS 2024 Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT Thomas Yerxa, Jenelle Feather, Eero P. Simoncelli, SueYeon Chung
ICLR 2024 Generalization in Diffusion Models Arises from Geometry-Adaptive Harmonic Representations Zahra Kadkhodaie, Florentin Guth, Eero P Simoncelli, Stéphane Mallat
TMLR 2024 Layerwise Complexity-Matched Learning Yields an Improved Model of Cortical Area V2 Nikhil Parthasarathy, Olivier J Henaff, Eero P Simoncelli
NeurIPS 2024 Learning Predictable and Robust Neural Representations by Straightening Image Sequences Xueyan Niu, Cristina Savin, Eero P. Simoncelli
NeurIPS 2024 Shaping the Distribution of Neural Responses with Interneurons in a Recurrent Circuit Model David Lipshutz, Eero P. Simoncelli
NeurIPS 2023 A Polar Prediction Model for Learning to Represent Visual Transformations Pierre-Étienne Fiquet, Eero P. Simoncelli
ICML 2023 Adaptive Whitening in Neural Populations with Gain-Modulating Interneurons Lyndon Duong, David Lipshutz, David Heeger, Dmitri Chklovskii, Eero P Simoncelli
NeurIPS 2023 Adaptive Whitening with Fast Gain Modulation and Slow Synaptic Plasticity Lyndon Duong, Eero P. Simoncelli, Dmitri B. Chklovskii, David Lipshutz
NeurIPSW 2023 Comparing Neural Models Using Their Perceptual Discriminability Predictions Jingyang Zhou, Chanwoo Chun, Ajay Subramanian, Eero P Simoncelli
NeurIPS 2023 Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations Thomas Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung
ICLR 2023 Learning Multi-Scale Local Conditional Probability Models of Images Zahra Kadkhodaie, Florentin Guth, Stéphane Mallat, Eero P Simoncelli
NeurIPSW 2022 Fine-Tuning Hierarchical Circuits Through Learned Stochastic Co-Modulation Caroline Haimerl, Eero P Simoncelli, Cristina Savin
NeurIPS 2022 Maximum a Posteriori Natural Scene Reconstruction from Retinal Ganglion Cells with Deep Denoiser Priors Eric Wu, Nora Brackbill, Alexander Sher, Alan Litke, Eero P. Simoncelli, E. J. Chichilnisky
NeurIPS 2021 Adaptive Denoising via GainTuning Sreyas Mohan, Joshua L Vincent, Ramon Manzorro, Peter Crozier, Carlos Fernandez-Granda, Eero P. Simoncelli
NeurIPS 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
ICCV 2021 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
NeurIPS 2020 Learning Efficient Task-Dependent Representations with Synaptic Plasticity Colin Bredenberg, Eero P. Simoncelli, Cristina Savin
ICLR 2020 Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda
NeurIPSW 2019 Interpretable and Robust Blind Image Denoising with Bias-Free Convolutional Neural Networks Zahra Kadkhodaie, Sreyas Mohan, Eero P. Simoncelli, Carlos Fernandez-Granda
ICLR 2017 End-to-End Optimized Image Compression Johannes Ballé, Valero Laparra, Eero P. Simoncelli
ICLR 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 2015 The Local Low-Dimensionality of Natural Images Olivier J. Hénaff, Johannes Ballé, Neil C. Rabinowitz, Eero P. Simoncelli
NeurIPS 2012 Efficient and Direct Estimation of a Neural Subunit Model for Sensory Coding Brett Vintch, Andrew Zaharia, J Movshon, Eero P. Simoncelli
NeurIPS 2012 Hierarchical Spike Coding of Sound Yan Karklin, Chaitanya Ekanadham, Eero P. Simoncelli
NeurIPS 2011 A Blind Sparse Deconvolution Method for Neural Spike Identification Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
NeurIPS 2011 Efficient Coding of Natural Images with a Population of Noisy Linear-Nonlinear Neurons Yan Karklin, Eero P. Simoncelli
NeurIPS 2010 Implicit Encoding of Prior Probabilities in Optimal Neural Populations Deep Ganguli, Eero P. Simoncelli
NeurIPS 2009 Hierarchical Modeling of Local Image Features Through $L_p$-Nested Symmetric Distributions Matthias Bethge, Eero P. Simoncelli, Fabian H. Sinz
CVPR 2008 Nonlinear Image Representation Using Divisive Normalization Siwei Lyu, Eero P. Simoncelli
NeurIPS 2008 Reducing Statistical Dependencies in Natural Signals Using Radial Gaussianization Siwei Lyu, Eero P. Simoncelli
NeurIPS 2007 A Bayesian Model of Conditioned Perception Alan Stocker, Eero P. Simoncelli
NeurIPS 2006 Learning to Be Bayesian Without Supervision Martin Raphan, Eero P. Simoncelli
NeurIPS 2006 Statistical Modeling of Images with Fields of Gaussian Scale Mixtures Siwei Lyu, Eero P. Simoncelli
NeurIPS 2005 Sensory Adaptation Within a Bayesian Framework for Perception Alan Stocker, Eero P. Simoncelli
NeurIPS 2004 Constraining a Bayesian Model of Human Visual Speed Perception Alan Stocker, Eero P. Simoncelli
NeurIPS 2004 Machine Learning Applied to Perception: Decision Images for Gender Classification Felix A. Wichmann, Arnulf B. Graf, Heinrich H. Bülthoff, Eero P. Simoncelli, Bernhard Schölkopf
NeCo 2004 Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model Liam Paninski, Jonathan W. Pillow, Eero P. Simoncelli
NeurIPS 2003 Local Phase Coherence and the Perception of Blur Zhou Wang, Eero P. Simoncelli
NeurIPS 2003 Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model Liam Paninski, Eero P. Simoncelli, Jonathan W. Pillow
NeurIPS 2001 Characterizing Neural Gain Control Using Spike-Triggered Covariance Odelia Schwartz, E. J. Chichilnisky, Eero P. Simoncelli
CVPR 2000 Color Channels Decorrelation by ICA Transformation in the Wavelet Domain for Color Texture Analysis and Synthesis Yufeng Liang, Eero P. Simoncelli, Zhibin Lei
NeurIPS 2000 Natural Sound Statistics and Divisive Normalization in the Auditory System Odelia Schwartz, Eero P. Simoncelli
NeurIPS 1999 Scale Mixtures of Gaussians and the Statistics of Natural Images Martin J. Wainwright, Eero P. Simoncelli
NeurIPS 1998 Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model Eero P. Simoncelli, Odelia Schwartz
ECCV 1996 Direct Differential Range Estimation Using Optical Masks Eero P. Simoncelli, Hany Farid
ICCV 1995 Steerable Wedge Filters Eero P. Simoncelli, Hany Farid
CVPR 1991 Probability Distributions of Optical Flow Eero P. Simoncelli, Edward H. Adelson, David J. Heeger