Eero P. Simoncelli
23 papers · 2006–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (8) πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(18)
π
Renaissance Researcher
(8)
π§
Keyword Pioneer
π
Conference Loyalist
(21)
π
Keyword Trendsetter Combo
(3)
π
Keyword Champion
π§¬
Topic Evolution
ποΈ
Keyword Collector
(71)
π
Trend Setter
π
Conference Pioneer
π
Century Club
(23)
π₯
Unstoppable
(7)
Conferences
NIPS (21)
ICCV (1)
ICLR (1)
Top co-authors
Research topics
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