← Authors

Eero P. Simoncelli

23 papers · 2006–2024 · 3 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (18) πŸ—ΊοΈ Taxonomy Completionist (18) 🌈 Renaissance Researcher (8) 🧭 Keyword Pioneer 🏠 Conference Loyalist (21) 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (71) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club (23) πŸ”₯ Unstoppable (7)

Conferences

NIPS (21) ICCV (1) ICLR (1)

Top co-authors

Carlos Fernandez-Granda (3) Cristina Savin (3) Sreyas Mohan (3) Zahra Kadkhodaie (2) Chaitanya Ekanadham (2) Yan Karklin (2) David Lipshutz (2) Colin Bredenberg (2) Siwei Lyu (2) SueYeon Chung (2)

Research topics

Core AI (1)

Keywords

representation learning (4) self-supervised learning (4) efficient coding (3) probabilistic modeling (3) image denoising (3) synaptic plasticity (3) unsupervised learning (3) convolutional neural network (3) sensory coding (3) bayesian inference (3) neural network (2) electron microscopy (2) probabilistic model (2) visual cortex (2) maximum a posteriori (2) receptive field (2) sparse coding (1) image statistics (1) blind deconvolution (1) psychophysics (1)

Papers

Learning predictable and robust neural representations by straightening image sequences NIPS 2024
Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT NIPS 2024
Shaping the distribution of neural responses with interneurons in a recurrent circuit model NIPS 2024
Adaptive whitening with fast gain modulation and slow synaptic plasticity NIPS 2023
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations NIPS 2023
A polar prediction model for learning to represent visual transformations NIPS 2023
Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors NIPS 2022
Unsupervised Deep Video Denoising ICCV 2021
Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser NIPS 2021
Adaptive Denoising via GainTuning NIPS 2021
Impression learning: Online representation learning with synaptic plasticity NIPS 2021
Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks ICLR 2020
Learning efficient task-dependent representations with synaptic plasticity NIPS 2020
Hierarchical spike coding of sound NIPS 2012
Efficient and direct estimation of a neural subunit model for sensory coding NIPS 2012
A blind sparse deconvolution method for neural spike identification NIPS 2011
Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons NIPS 2011
Implicit encoding of prior probabilities in optimal neural populations NIPS 2010
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions NIPS 2009
Reducing statistical dependencies in natural signals using radial Gaussianization NIPS 2008
A Bayesian Model of Conditioned Perception NIPS 2007
Learning to be Bayesian without Supervision NIPS 2006
Statistical Modeling of Images with Fields of Gaussian Scale Mixtures NIPS 2006