Aapo Hyvärinen

2000 -

country of citizenship: Finland

educated at: Helsinki University of Technology

official website: www.gatsby.ucl.ac.uk/~aapoh, www.cs.helsinki.fi/u/ahyvarin, researchportal.helsinki.fi/en/persons/9663697e-2d34-421e-904e-dc628e9acece

Aapo Johannes Hyvärinen (born 1970 in Helsinki) is a Finnish professor of computer science at the University of Helsinki and known for his research in independent component analysis. Source: Wikipedia (en)

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Articles 74

Date

Title

Authors

2020-11-12

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

Hubert Banville, Aapo Hyvärinen, Alexandre Gramfort
2020-11

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

Aapo Hyvärinen
2020-11

Relative gradient optimization of the Jacobian term in unsupervised deep learning

Bernhard Schölkopf, Aapo Hyvärinen
2020-11

Modeling Shared responses in Neuroimaging Studies through MultiView ICA

Aapo Hyvärinen, Bertrand Thirion, Alexandre Gramfort
2018-10-11

Decoding attentional states for neurofeedback: Mindfulness vs. wandering thoughts

Alexander Zhigalov, Tiina Parviainen, Aapo Hyvärinen
2017-08-04

Simultaneous Estimation of Nongaussian Components and Their Correlation Structure

Aapo Hyvärinen
2017-07-25

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

Aapo Hyvärinen, Haruo Hosoya
2017-07-01

Decoding emotional valence from electroencephalographic rhythmic activity.

Aapo Hyvärinen, Hande Celikkanat
2016-12-21

Characterizing Variability of Modular Brain Connectivity with Constrained Principal Component Analysis

Aapo Hyvärinen
2016-01-06

Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices

Aapo Hyvärinen
2016

Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA

Aapo Hyvärinen
2016-08-01

Template optimization and transfer in perceptual learning.

Aapo Hyvärinen
2016-05-12

Learning Visual Spatial Pooling by Strong PCA Dimension Reduction.

Aapo Hyvärinen
2016-06-28

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

Aapo Hyvärinen
2015-06-03

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

Aapo Hyvärinen, Klaus-Robert Müller
2015-07-01

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

Aapo Hyvärinen
2015-05-14

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

Aapo Hyvärinen
2015

A unified probabilistic model for independent and principal component analysis

Aapo Hyvärinen
2014-02-12

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

Aapo Hyvärinen, Jesus Malo
2014-08-03

Group-PCA for very large fMRI datasets

Stephen M. Smith, Aapo Hyvärinen, Gaël Varoquaux, Karla L. Miller, Christian F. Beckmann
2014-08-01

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

Aapo Hyvärinen
2014

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

Aapo Hyvärinen, Masashi Sugiyama
2014-06

Dynamic connectivity factorization: Interpretable decompositions of non-stationarity

Aapo Hyvärinen
2014-10-23

Investigating shape perception by classification images

Aapo Hyvärinen
2013-10-31

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

Aapo Hyvärinen, Pavan Ramkumar, Lauri Parkkonen
2013-06-14

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

Riitta Hari, Aapo Hyvärinen, Cristina Campi, Lauri Parkkonen
2013-03-22

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

Aapo Hyvärinen, Pavan Ramkumar
2013-11-05

A Bayesian inverse solution using independent component analysis.

Aapo Hyvärinen
2013-10-08

ParceLiNGAM: a causal ordering method robust against latent confounders.

Aapo Hyvärinen
2013-01-29

A three-layer model of natural image statistics.

Aapo Hyvärinen
2013-12

Decoding magnetoencephalographic rhythmic activity using spectrospatial information

Aapo Hyvärinen, Lauri Parkkonen, Riitta Hari, Jukka-Pekka Kauppi
2013-05-14

Correlated topographic analysis: estimating an ordering of correlated components

Aapo Hyvärinen, Hayaru Shouno

Human - wd:Q18632706

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