Aapo Hyvärinen

According to our database1, Aapo Hyvärinen authored at least 147 papers between 1996 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
Decoding attentional states for neurofeedback: Mindfulness vs. wandering thoughts.
NeuroImage, 2019

Causal Discovery with General Non-Linear Relationships using Non-Linear ICA.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Estimation of Non-Normalized Mixture Models.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
A unified probabilistic model for learning latent factors and their connectivities from high-dimensional data .
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery.
Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, 2018

2017
A mixture of sparse coding models explaining properties of face neurons related to holistic and parts-based processing.
PLoS Computational Biology, 2017

Simultaneous Estimation of Nongaussian Components and Their Correlation Structure.
Neural Computation, 2017

Density Estimation in Infinite Dimensional Exponential Families.
J. Mach. Learn. Res., 2017

Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios.
J. Mach. Learn. Res., 2017

SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling.
Proceedings of the 34th International Conference on Machine Learning, 2017

Decoding emotional valence from electroencephalographic rhythmic activity.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Nonlinear ICA of Temporally Dependent Stationary Sources.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices.
Neural Computation, 2016

Learning Visual Spatial Pooling by Strong PCA Dimension Reduction.
Neural Computation, 2016

Sparse and low-rank matrix regularization for learning time-varying Markov networks.
Machine Learning, 2016

Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Unifying Blind Separation and Clustering for Resting-State EEG/MEG Functional Connectivity Analysis.
Neural Computation, 2015

Independent component analysis with an inverse problem motivated penalty term.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Topographic Independent Component Analysis.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Independent Component Analysis of Images.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

A Bayesian inverse solution using independent component analysis.
Neural Networks, 2014

Group-PCA for very large fMRI datasets.
NeuroImage, 2014

Group-level spatial independent component analysis of Fourier envelopes of resting-state MEG data.
NeuroImage, 2014

ParceLiNGAM: A Causal Ordering Method Robust Against Latent Confounders.
Neural Computation, 2014

Dynamic connectivity factorization: Interpretable decompositions of non-stationarity.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Simultaneous blind separation and clustering of coactivated EEG/MEG sources for analyzing spontaneous brain activity.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Decoding magnetoencephalographic rhythmic activity using spectrospatial information.
NeuroImage, 2013

Correlated topographic analysis: estimating an ordering of correlated components.
Machine Learning, 2013

Pairwise likelihood ratios for estimation of non-Gaussian structural equation models.
J. Mach. Learn. Res., 2013

2012
Topographic Analysis of Correlated Components.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics.
J. Mach. Learn. Res., 2012

Learning a selectivity-invariance-selectivity feature extraction architecture for images.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Estimation of Causal Orders in a Linear Non-Gaussian Acyclic Model: A Method Robust against Latent Confounders.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Estimating exogenous variables in data with more variables than observations.
Neural Networks, 2011

Testing the ICA mixing matrix based on inter-subject or inter-session consistency.
NeuroImage, 2011

A General Linear Non-Gaussian State-Space Model.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model.
J. Mach. Learn. Res., 2011

Structural equations and divisive normalization for energy-dependent component analysis.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Hermite Polynomials and Measures of Non-gaussianity.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Complex-Valued Independent Component Analysis of Natural Images.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Extracting Coactivated Features from Multiple Data Sets.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Statistical Models of Natural Images and Cortical Visual Representation.
topiCS, 2010

WordICA - emergence of linguistic representations for words by independent component analysis.
Natural Language Engineering, 2010

Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis.
NeuroImage, 2010

A Two-Layer Model of Natural Stimuli Estimated with Score Matching.
Neural Computation, 2010

Nonlinear acyclic causal models.
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity.
J. Mach. Learn. Res., 2010

Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Noise-contrastive estimation: A new estimation principle for unnormalized statistical models.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Source Separation and Higher-Order Causal Analysis of MEG and EEG.
Proceedings of the UAI 2010, 2010

A Family of Computationally E cient and Simple Estimators for Unnormalized Statistical Models.
Proceedings of the UAI 2010, 2010

Sparse and Low-Rank Estimation of Time-Varying Markov Networks with Alternating Direction Method of Multipliers.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

Discovery of Exogenous Variables in Data with More Variables Than Observations.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
Natural Image Statistics - A Probabilistic Approach to Early Computational Vision
Computational Imaging and Vision 39, Springer, ISBN: 978-1-84882-491-1, 2009

Estimation of linear non-Gaussian acyclic models for latent factors.
Neurocomputing, 2009

On the Identifiability of the Post-Nonlinear Causal Model.
Proceedings of the UAI 2009, 2009

A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model.
Proceedings of the UAI 2009, 2009

Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

ICA with Sparse Connections: Revisited.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Estimating Markov Random Field Potentials for Natural Images.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Learning Natural Image Structure with a Horizontal Product Model.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Modelling Image Complexity by Independent Component Analysis, with Application to Content-Based Image Retrieval.
Proceedings of the Artificial Neural Networks, 2009

Learning Features by Contrasting Natural Images with Noise.
Proceedings of the Artificial Neural Networks, 2009

Learning reconstruction and prediction of natural stimuli by a population of spiking neurons.
Proceedings of the ESANN 2009, 2009

2008
Optimal Approximation of Signal Priors.
Neural Computation, 2008

Causal discovery of linear acyclic models with arbitrary distributions.
Proceedings of the UAI 2008, 2008

Unsupervised learning of dependencies between local luminance and contrast in natural images.
Proceedings of the International Joint Conference on Neural Networks, 2008

On the learning of nonlinear visual features from natural images by optimizing response energies.
Proceedings of the International Joint Conference on Neural Networks, 2008

Learning encoding and decoding filters for data representation with a spiking neuron.
Proceedings of the International Joint Conference on Neural Networks, 2008

Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity.
Proceedings of the Machine Learning, 2008

2007
Connections Between Score Matching, Contrastive Divergence, and Pseudolikelihood for Continuous-Valued Variables.
IEEE Trans. Neural Networks, 2007

Equivalence of Some Common Linear Feature Extraction Techniques for Appearance-Based Object Recognition Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Some extensions of score matching.
Computational Statistics & Data Analysis, 2007

The Statistical Properties of Local Log-Contrast in Natural Images.
Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

A Two-Layer ICA-Like Model Estimated by Score Matching.
Proceedings of the Artificial Neural Networks, 2007

2006
Consistency of Pseudolikelihood Estimation of Fully Visible Boltzmann Machines.
Neural Computation, 2006

A Linear Non-Gaussian Acyclic Model for Causal Discovery.
J. Mach. Learn. Res., 2006

Finding a causal ordering via independent component analysis.
Computational Statistics & Data Analysis, 2006

Emergence of conjunctive visual features by quadratic independent component analysis.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Learning to Segment Any Random Vector.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Quasi-stochastic Gradient Algorithm for Variance-Dependent Component Analysis.
Proceedings of the Artificial Neural Networks, 2006

Testing Significance of Mixing and Demixing Coefficients in ICA.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

New Permutation Algorithms for Causal Discovery Using ICA.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

FastISA: A fast fixed-point algorithm for independent subspace analysis.
Proceedings of the ESANN 2006, 2006

2005
A unifying model for blind separation of independent sources.
Signal Processing, 2005

Independent component analysis of fMRI group studies by self-organizing clustering.
NeuroImage, 2005

Estimation of Non-Normalized Statistical Models by Score Matching.
J. Mach. Learn. Res., 2005

Discovery of Non-gaussian Linear Causal Models using ICA.
Proceedings of the UAI '05, 2005

2004
Blind separation of sources that have spatiotemporal variance dependencies.
Signal Processing, 2004

A unifying framework for natural image statistics: spatiotemporal activity bubbles.
Neurocomputing, 2004

Spatiotemporal receptive fields maximizing temporal coherence in natural image sequences.
Neurocomputing, 2004

Learning High-level Independent Components of Images through a Spectral Representation.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Simple-Cell-Like Receptive Fields Maximize Temporal Coherence in Natural Video.
Neural Computation, 2003

Connection between multilayer perceptrons and regression using independent component analysis.
Neurocomputing, 2003

A two-layer temporal generative model of natural video exhibits complex-cell-like pooling of simple cell outputs.
Neurocomputing, 2003

Icasso: software for investigating the reliability of ICA estimates by clustering and visualization.
Proceedings of the NNSP 2003, 2003

2002
Realizations of quantum computing using optical manipulations of atoms.
Natural Computing, 2002

Estimating Overcomplete Independent Component Bases for Image Windows.
Journal of Mathematical Imaging and Vision, 2002

Imposing sparsity on the mixing matrix in independent component analysis.
Neurocomputing, 2002

An alternative approach to infomax and independent component analysis.
Neurocomputing, 2002

Sparse coding of natural contours.
Neurocomputing, 2002

Blind signal separation and independent component analysis.
Neurocomputing, 2002

Temporal Coherence, Natural Image Sequences, and the Visual Cortex.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Interpreting Neural Response Variability as Monte Carlo Sampling of the Posterior.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video.
Proceedings of the Artificial Neural Networks, 2002

2001
Blind source separation by nonstationarity of variance: a cumulant-based approach.
IEEE Trans. Neural Networks, 2001

Topographic Independent Component Analysis.
Neural Computation, 2001

Complexity Pursuit: Separating Interesting Components from Time Series.
Neural Computation, 2001

Topographic independent component analysis as a model of V1 organization and receptive fields.
Neurocomputing, 2001

Independent Component Analysis
Wiley, ISBN: 0-471-22131-7, 2001

2000
Independent component analysis: algorithms and applications.
Neural Networks, 2000

Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces.
Neural Computation, 2000

A Fast Fixed-Point Algorithm for Independent Component Analysis of Complex Valued Signals.
Int. J. Neural Syst., 2000

Topographic ICA as a Model of V1 Receptive Fields.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Feature Extraction from Color and Stereo Images Using ICA.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

ICA of Complex Valued Signals: A Fast and Robust Deflationary Algorithm.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Fast and robust deflationary separation of complex valued signals.
Proceedings of the 10th European Signal Processing Conference, 2000

Topographic ICA as a Model of Natural Image Statistics.
Proceedings of the Biologically Motivated Computer Vision, 2000

1999
Fast and robust fixed-point algorithms for independent component analysis.
IEEE Trans. Neural Networks, 1999

Gaussian moments for noisy independent component analysis.
IEEE Signal Process. Lett., 1999

Image Feature Extraction and Denoising by Sparse Coding.
Pattern Anal. Appl., 1999

The Fixed-Point Algorithm and Maximum Likelihood Estimation for Independent Component Analysis.
Neural Processing Letters, 1999

Nonlinear independent component analysis: Existence and uniqueness results.
Neural Networks, 1999

Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation.
Neural Computation, 1999

Emergence of Topography and Complex Cell Properties from Natural Images using Extensions of ICA.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Fast ICA for noisy data using Gaussian moments.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

Independent subspace analysis shows emergence of phase and shift invariant features from natural images.
Proceedings of the International Joint Conference Neural Networks, 1999

A fast algorithm for estimating overcomplete ICA bases for image windows.
Proceedings of the International Joint Conference Neural Networks, 1999

Estimating signal-adapted wavelets using sparseness criteria.
Proceedings of the International Joint Conference Neural Networks, 1999

Emotional Disorders in Autonomous Agents?
Proceedings of the Advances in Artificial Life, 5th European Conference, 1999

1998
Independent component analysis by general nonlinear Hebbian-like learning rules.
Signal Processing, 1998

Independent component analysis in the presence of Gaussian noise by maximizing joint likelihood.
Neurocomputing, 1998

Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Image feature extraction by sparse coding and independent component analysis.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

1997
A Fast Fixed-Point Algorithm for Independent Component Analysis.
Neural Computation, 1997

New Approximations of Differential Entropy for Independent Component Analysis and Projection Pursuit.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Applications of neural blind separation to signal and image processing.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

A family of fixed-point algorithms for independent component analysis.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

From Neural Principal Components to Neural Independent Components.
Proceedings of the Artificial Neural Networks, 1997

1996
Simple Neuron Models for Independent Component Analysis.
Int. J. Neural Syst., 1996

One-unit Learning Rules for Independent Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

A neuron that learns to separate one signal from a mixture of independent sources.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Purely Logical Neural Principal Component and Independent Component Learning.
Proceedings of the Artificial Neural Networks, 1996


  Loading...