List of works - Aapo Hyvärinen

A Bayesian inverse solution using independent component analysis

scientific article

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

scientific article published on July 2015

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

scientific article published on 25 July 2017

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

scientific article

A three-layer model of natural image statistics

scientific article published on 29 January 2013

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

scientific article published in September 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

scientific article published in July 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

scientific article published on 13 September 2011

Characterizing Variability of Modular Brain Connectivity with Constrained Principal Component Analysis

scientific article

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

scientific article published in June 2007

Complex-Valued Independent Component Analysis of Natural Images

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

scientific article published in September 2007

Consistency of pseudolikelihood estimation of fully visible Boltzmann machines

scientific article published in October 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

scientific article

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

scientific article

Estimating exogenous variables in data with more variables than observations

scientific article

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

scientific article published on 3 August 2014

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

scientific article

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

scientific article published in November 2020

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

scientific article published on 8 January 2005

Independent component analysis of nondeterministic fMRI signal sources

scientific article published in June 2003

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

scientific article published on 20 August 2009

Independent component analysis: algorithms and applications

scientific article

Independent component analysis: recent advances ⬇️

scientific article published on December 31, 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

scientific article published on 12 May 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 ⬇️

scientific article published in 2010

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

scientific article published on 14 June 2013

On the identifiability of the post-nonlinear causal model ⬇️

scientific article published on 18 June 2009

Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices

scientific article published on 6 January 2016

ParceLiNGAM: a causal ordering method robust against latent confounders

scientific article published on 8 October 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.

scientific article published in November 2009

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

scientific article published in March 2003

Simultaneous Estimation of Nongaussian Components and Their Correlation Structure

scientific article published on 04 August 2017

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

scientific article published in August 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

scientific article

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

scientific article

Statistical models of natural images and cortical visual representation

scientific article published on 4 November 2009

Template optimization and transfer in perceptual learning

scientific article

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

scientific article

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

scientific article published on 22 March 2013

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

scientific article published on June 17, 2011

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

scientific article published on 3 June 2015

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

scientific article published on 12 November 2020

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

scientific article published on 14 May 2015

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

scientific article published in January 2016

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

scientific article published in July 2004

Visual features underlying perceived brightness as revealed by classification images

scientific article

List of works by 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