Lista de obras - Aapo Hyvärinen - Dominio Público Uruguay

A Bayesian inverse solution using independent component analysis

artículo científico publicado en 2013

A Hierarchical Statistical Model of Natural Images Explains Tuning Properties in V2.

artículo científico publicado en 2015

A mixture of sparse coding models explaining properties of face neurons related to holistic and parts-based processing.

artículo científico publicado en 2017

A multi-layer sparse coding network learns contour coding from natural images

artículo científico publicado en 2002

A three-layer model of natural image statistics

artículo científico publicado en 2013

A two-layer model of natural stimuli estimated with score matching

artículo científico publicado en 2010

A unified probabilistic model for independent and principal component analysis

article

A unifying model for blind separation of independent sources

article

Bubbles: a unifying framework for low-level statistical properties of natural image sequences

artículo científico publicado en 2003

Characterization of Spontaneous Neuromagnetic Brain Rhythms Using Independent Component Analysis of Short-Time Fourier Transforms

Characterization of neuromagnetic brain rhythms over time scales of minutes using spatial independent component analysis

artículo científico publicado en 2011

Characterizing Variability of Modular Brain Connectivity with Constrained Principal Component Analysis

artículo científico publicado en 2016

Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density

Collinear context (and learning) change the profile of the perceptual filter

Complex cell pooling and the statistics of natural images

artículo científico publicado en 2007

Complex-Valued Independent Component Analysis of Natural Images

Connections between score matching, contrastive divergence, and pseudolikelihood for continuous-valued variables

artículo científico publicado en 2007

Consistency of pseudolikelihood estimation of fully visible Boltzmann machines

artículo científico publicado en 2006

Correlated topographic analysis: estimating an ordering of correlated components

article

Decoding attentional states for neurofeedback: Mindfulness vs. wandering thoughts

scientific article published on 11 October 2018

Decoding emotional valence from electroencephalographic rhythmic activity

artículo científico publicado en 2017

Decoding magnetoencephalographic rhythmic activity using spectrospatial information

Discovery of Exogenous Variables in Data with More Variables Than Observations

Dynamic connectivity factorization: Interpretable decompositions of non-stationarity

Equivalence of some common linear feature extraction techniques for appearance-based object recognition tasks

artículo científico publicado en 2007

Estimating exogenous variables in data with more variables than observations

artículo científico publicado en 2011

Estimation of Causal Orders in a Linear Non-Gaussian Acyclic Model: A Method Robust against Latent Confounders

article

Estimation of linear non-Gaussian acyclic models for latent factors

Extracting Coactivated Features from Multiple Data Sets

Fast and robust fixed-point algorithms for independent component analysis

article

Finding a causal ordering via independent component analysis

Group-PCA for very large fMRI datasets

artículo científico publicado en 2014

Group-level spatial independent component analysis of Fourier envelopes of resting-state MEG data

artículo científico publicado en 2013

ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA ⬇️

artículo científico publicado en 2020

Independent component analysis of fMRI group studies by self-organizing clustering

artículo científico publicado en 2005

Independent component analysis of nondeterministic fMRI signal sources

artículo científico publicado en 2003

Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis

artículo científico publicado en 2009

Independent component analysis: algorithms and applications

artículo científico publicado en 2000

Independent component analysis: recent advances

artículo científico publicado en 2012

Investigating shape perception by classification images

Learning Natural Image Structure with a Horizontal Product Model

article

Learning Visual Spatial Pooling by Strong PCA Dimension Reduction

artículo científico publicado en 2016

Learning spike-timings based representations of sensory stimuli with leaky integrate-and-fire neurons

Learning to Segment Any Random Vector

Modeling Shared responses in Neuroimaging Studies through MultiView ICA ⬇️

Natural image statistics: Energy-based models estimated by score matching

article

Noise-contrastive estimation: A new estimation principle for unnormalized statistical models ⬇️

artículo científico publicado en 2010

Non-linear canonical correlation for joint analysis of MEG signals from two subjects

artículo científico publicado en 2013

On the identifiability of the post-nonlinear causal model ⬇️

artículo científico publicado en 2009

Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices

artículo científico publicado en 2016

ParceLiNGAM: a causal ordering method robust against latent confounders

artículo científico publicado en 2013

Relative gradient optimization of the Jacobian term in unsupervised deep learning ⬇️

scholarly article by Luigi Gresele et al published November 2020 in Advances in Neural Information Processing Systems 33

Representation of cross-frequency spatial phase relationships in human visual cortex.

artículo científico publicado en 2009

Simple-cell-like receptive fields maximize temporal coherence in natural video

artículo científico publicado en 2003

Simultaneous Estimation of Nongaussian Components and Their Correlation Structure

artículo científico

Simultaneous blind separation and clustering of coactivated EEG/MEG sources for analyzing spontaneous brain activity

artículo científico publicado en 2014

Some extensions of score matching

Sparse and Low-Rank Estimation of Time-Varying Markov Networks with Alternating Direction Method of Multipliers

Sparse and low-rank matrix regularization for learning time-varying Markov networks

Spatial dependencies between local luminance and contrast in natural images

article

Spatial frequency tuning in human retinotopic visual areas

Spatio-chromatic adaptation via higher-order canonical correlation analysis of natural images

artículo científico publicado en 2014

Statistical model of natural stimuli predicts edge-like pooling of spatial frequency channels in V2

artículo científico publicado en 2005

Statistical models of natural images and cortical visual representation

artículo científico publicado en 2009

Template optimization and transfer in perceptual learning

artículo científico publicado en 2016

Temporal and spatiotemporal coherence in simple-cell responses: a generative model of natural image sequences

artículo científico publicado en 2003

Testing independent component patterns by inter-subject or inter-session consistency

artículo científico publicado en 2013

Testing the ICA mixing matrix based on inter-subject or inter-session consistency ⬇️

artículo científico publicado el 17 de junio de 2011

Three-way analysis of spectrospatial electromyography data: classification and interpretation

artículo científico publicado en 2015

Uncovering the structure of clinical EEG signals with self-supervised learning

artículo científico publicado en 2020

Unifying Blind Separation and Clustering for Resting-State EEG/MEG Functional Connectivity Analysis

artículo científico publicado en 2015

Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA ⬇️

artículo científico publicado en 2016

Validating the independent components of neuroimaging time series via clustering and visualization

artículo científico publicado en 2004

Visual features underlying perceived brightness as revealed by classification images

artículo científico publicado en 2009

Lista de obras de Aapo Hyvärinen

A Bayesian inverse solution using independent component analysis

A Hierarchical Statistical Model of Natural Images Explains Tuning Properties in V2.

A mixture of sparse coding models explaining properties of face neurons related to holistic and parts-based processing.

A multi-layer sparse coding network learns contour coding from natural images

A three-layer model of natural image statistics

A two-layer model of natural stimuli estimated with score matching

A unified probabilistic model for independent and principal component analysis

A unifying model for blind separation of independent sources

Bubbles: a unifying framework for low-level statistical properties of natural image sequences

Characterization of Spontaneous Neuromagnetic Brain Rhythms Using Independent Component Analysis of Short-Time Fourier Transforms

Characterization of neuromagnetic brain rhythms over time scales of minutes using spatial independent component analysis

Characterizing Variability of Modular Brain Connectivity with Constrained Principal Component Analysis

Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density

Collinear context (and learning) change the profile of the perceptual filter

Complex cell pooling and the statistics of natural images

Complex-Valued Independent Component Analysis of Natural Images

Connections between score matching, contrastive divergence, and pseudolikelihood for continuous-valued variables

Consistency of pseudolikelihood estimation of fully visible Boltzmann machines

Correlated topographic analysis: estimating an ordering of correlated components

Decoding attentional states for neurofeedback: Mindfulness vs. wandering thoughts

Decoding emotional valence from electroencephalographic rhythmic activity

Decoding magnetoencephalographic rhythmic activity using spectrospatial information

Discovery of Exogenous Variables in Data with More Variables Than Observations

Dynamic connectivity factorization: Interpretable decompositions of non-stationarity

Equivalence of some common linear feature extraction techniques for appearance-based object recognition tasks

Estimating exogenous variables in data with more variables than observations

Estimation of Causal Orders in a Linear Non-Gaussian Acyclic Model: A Method Robust against Latent Confounders

Estimation of linear non-Gaussian acyclic models for latent factors

Extracting Coactivated Features from Multiple Data Sets

Fast and robust fixed-point algorithms for independent component analysis

Finding a causal ordering via independent component analysis

Group-PCA for very large fMRI datasets

Group-level spatial independent component analysis of Fourier envelopes of resting-state MEG data

ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA ⬇️

Independent component analysis of fMRI group studies by self-organizing clustering

Independent component analysis of nondeterministic fMRI signal sources

Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis

Independent component analysis: algorithms and applications

Independent component analysis: recent advances

Investigating shape perception by classification images

Learning Natural Image Structure with a Horizontal Product Model

Learning Visual Spatial Pooling by Strong PCA Dimension Reduction

Learning spike-timings based representations of sensory stimuli with leaky integrate-and-fire neurons

Learning to Segment Any Random Vector

Modeling Shared responses in Neuroimaging Studies through MultiView ICA ⬇️

Natural image statistics: Energy-based models estimated by score matching

Noise-contrastive estimation: A new estimation principle for unnormalized statistical models ⬇️

Non-linear canonical correlation for joint analysis of MEG signals from two subjects

On the identifiability of the post-nonlinear causal model ⬇️

Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices

ParceLiNGAM: a causal ordering method robust against latent confounders

Relative gradient optimization of the Jacobian term in unsupervised deep learning ⬇️

Representation of cross-frequency spatial phase relationships in human visual cortex.

Simple-cell-like receptive fields maximize temporal coherence in natural video

Simultaneous Estimation of Nongaussian Components and Their Correlation Structure

Simultaneous blind separation and clustering of coactivated EEG/MEG sources for analyzing spontaneous brain activity

Some extensions of score matching

Sparse and Low-Rank Estimation of Time-Varying Markov Networks with Alternating Direction Method of Multipliers

Sparse and low-rank matrix regularization for learning time-varying Markov networks

Spatial dependencies between local luminance and contrast in natural images

Spatial frequency tuning in human retinotopic visual areas

Spatio-chromatic adaptation via higher-order canonical correlation analysis of natural images

Statistical model of natural stimuli predicts edge-like pooling of spatial frequency channels in V2

Statistical models of natural images and cortical visual representation

Template optimization and transfer in perceptual learning

Temporal and spatiotemporal coherence in simple-cell responses: a generative model of natural image sequences

Testing independent component patterns by inter-subject or inter-session consistency

Testing the ICA mixing matrix based on inter-subject or inter-session consistency ⬇️

Three-way analysis of spectrospatial electromyography data: classification and interpretation

Uncovering the structure of clinical EEG signals with self-supervised learning

Unifying Blind Separation and Clustering for Resting-State EEG/MEG Functional Connectivity Analysis

Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA ⬇️

Validating the independent components of neuroimaging time series via clustering and visualization

Visual features underlying perceived brightness as revealed by classification images

WordICA—emergence of linguistic representations for words by independent component analysis