Aapo Hyvärinen

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  1. Template optimization and transfer in perceptual learning

    Kurki, I., Hyvärinen, A. & Saarinen, J. Aug 2016 In : Journal of Vision. 16, 10, 18 p., 16

    Publication: Contribution to journalA1 Refereed journal article

  2. Learning Visual Spatial Pooling by Strong PCA Dimension Reduction

    Hosoya, H. & Hyvärinen, A. Jul 2016 In : Neural Computation. 28, 7, p. 1249-1264 16 p.

    Publication: Contribution to journalA1 Refereed journal article

  3. Independent Component Analysis with an Inverse Problem Motivated Penalty Term

    Puuronen, J. & Hyvärinen, A. 2015 7 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  4. Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices

    Hyvärinen, A., Hirayama, J., Kiviniemi, V. & Kawanabe, M. Mar 2016 In : Neural Computation. 28, 3, p. 445-484 40 p.

    Publication: Contribution to journalA1 Refereed journal article

  5. Emotional Disorders in Autonomous Agents?

    Hyvärinen, A. & Honkela, T. 1999 p. 350-354 5 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  6. Independent Component Analysis of Word Contexts and Comparison with Traditional Categories

    Väyrynen, J. J., Honkela, T. & Hyvärinen, A. 1 Jun 2004 p. 300-303 4 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  7. Linguistic Feature Extraction using Independent Component Analysis

    Honkela, T. & Hyvärinen, A. 1 Jul 2004 p. 279-284 6 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

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

    Hosoya, H. & Hyvärinen, A. 22 Jul 2015 In : Journal of Neuroscience. 35, 29, p. 10412-10428 17 p.

    Publication: Contribution to journalA1 Refereed journal article

  9. A unified probabilistic model for independent and principal component analysis

    Hyvärinen, A. J. 2015 Advances in Independent Component Analysis and Learning Machines. Bingham, E., Kaski, S., Laaksonen, J. & Lampinen, J. (eds.). Amsterdam: Elsevier Scientific Publ. Co, p. 75-82 8 p.

    Publication: Contribution to book/anthologyB2 Contribution to book/other compilations (non-refereed)

  10. Group-PCA for very large fMRI datasets

    Smith, S. M., Hyvärinen, A., Varoquaux, G., Miller, K. L. & Beckmann, C. F. 1 Nov 2014 In : NeuroImage. 101, p. 738-749 12 p.

    Publication: Contribution to journalA1 Refereed journal article

  11. Three-Way Analysis of Spectrospatial Electromyography Data: Classification and Interpretation

    Kauppi, J-P., Hahne, J., Müller, K-R. & Müller, K-R. 3 Jun 2015 In : PLoS One. 10, 6, 17 p., 0127231

    Publication: Contribution to journalA1 Refereed journal article

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

    Hirayama, J., Ogawa, T. & Hyvärinen, A. Jul 2015 In : Neural Computation. 27, 7, p. 1373-1404 32 p.

    Publication: Contribution to journalA1 Refereed journal article

  13. Dynamic Connectivity Factorization: Interpretable decompositions of non-stationarity

    Hyvärinen, A., Hirayama, J. & Kawanabe, M. 2014 4 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  14. Investigating shape perception by classification images

    Kurki, I., Saarinen, J. & Hyvarinen, A. 2014 In : Journal of Vision. 14, 12, 19 p., 24

    Publication: Contribution to journalA1 Refereed journal article

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

    Sasaki, H., Hyvärinen, A. & Sugiyama, M. 2014 p. 19-34 16 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

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

    Hirayama, J., Ogawa, T. & Hyvärinen, A. 2014 p. 4932-4935 4 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  17. Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations

    Sasaki, H., Gutmann, M. U., Shouno, H. & Hyvärinen, A. 2014 p. 868-876 9 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  18. Spatio-Chromatic Adaptation via Higher-Order Canonical Correlation Analysis of Natural Images

    Gutmann, M. U., Laparra, V., Hyvärinen, A. & Malo, J. 12 Feb 2014 In : PLoS One. 9, 2, 21 p., 86481

    Publication: Contribution to journalA1 Refereed journal article

  19. ParceLiNGAM: A Causal Ordering Method Robust Against Latent Confounders

    Tashiro, T., Shimizu, S., Hyvärinen, A. & Washio, T. Jan 2014 In : Neural Computation. 26, 1, p. 57-83 27 p.

    Publication: Contribution to journalA1 Refereed journal article

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

    Ramkumar, P., Parkkonen, L. & Hyvärinen, A. 1 Feb 2014 In : NeuroImage. 86, p. 480-491 12 p.

    Publication: Contribution to journalA1 Refereed journal article

  21. A Bayesian inverse solution using independent component analysis

    Puuronen, J. & Hyvärinen, A. Feb 2014 In : Neural Networks. 50, p. 47-59 13 p.

    Publication: Contribution to journalA1 Refereed journal article

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

    Campi, C., Parkkonen, L., Hari, R. & Hyvärinen, A. 2013 In : Frontiers in Neuroscience. 7, 107, 7 p.

    Publication: Contribution to journalA1 Refereed journal article

  23. Decoding magnetoencephalographic rhythmic activity using spectrospatial information

    Kauppi, J-P., Parkkonen, L., Hari, R. & Hyvärinen, A. Dec 2013 In : NeuroImage. 83, p. 921-936 16 p.

    Publication: Contribution to journalA1 Refereed journal article

  24. A three-layer model of natural image statistics

    Gutmann, M. U. & Hyvärinen, A. Nov 2013 In : Journal of Physiology (Paris). 107, 5, p. 369-398 30 p.

    Publication: Contribution to journalA1 Refereed journal article

  25. Correlated topographic analysis: estimating an ordering of correlated components

    Sasaki, H., Gutmann, M. U., Shouno, H. & Hyvärinen, A. Sep 2013 In : Machine Learning. 92, 2-3, p. 285-317 33 p.

    Publication: Contribution to journalA1 Refereed journal article

  26. Independent component analysis: recent advances

    Hyvärinen, A. 13 Feb 2013 In : Philosophical transactions - Royal Society. Mathematical, Physical and engineering sciences. 371, 1984, 19 p.

    Publication: Contribution to journalA2 Review in scientific journal

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

    Hyvärinen, A. & Ramkumar, P. 22 Mar 2013 In : Frontiers in Human Neuroscience . 7, 15 p.

    Publication: Contribution to journalA1 Refereed journal article

  28. Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models

    Hyvärinen, A. & Smith, S. M. Jan 2013 In : Journal of Machine Learning Research. 14, p. 111-152 42 p.

    Publication: Contribution to journalA1 Refereed journal article

  29. Estimation of causal orders in a linear non-gaussian acyclic model: a method robust against latent confounders

    Tashiro, T., Shimizu, S., Hyvärinen, A. & Washio, T. 2012 p. 491-498 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  30. Structural equations and divisive normalization for energy-dependent component analysis

    Hirayama, J. & Hyvärinen, A. 2012 9 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  31. Topographic Analysis of Correlated Components

    Sasaki, H., Gutmann, M. U., Shouno, H. & Hyvärinen, A. 2012 In : JMRL : Workshop and Conference Proceedings. 25, 14 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  32. Learning a selectivity-invariance-selectivity feature extraction architecture for images

    Gutmann, M. U. & Hyvärinen, A. 2012

    Publication: Conference contributionA4 Article in conference publication (refereed)

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

    Ramkumar, P., Parkkonen, L., Hari, R. & Hyvärinen, A. 2012 In : Human Brain Mapping. 33, 7, p. 1648-1662 15 p.

    Publication: Contribution to journalA1 Refereed journal article

  34. Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics

    Gutmann, M. U. & Hyvärinen, A. 2012 In : Journal of Machine Learning Research. 13, p. 307-361 55 p.

    Publication: Contribution to journalA1 Refereed journal article

  35. Learning Topographic Representations for Linearly Correlated Components

    Sasaki, H., Gutmann, M. U., Shouno, H. & Hyvärinen, A. 2011 9 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  36. Extracting coactivated features from multiple data sets

    Gutmann, M. U. & Hyvärinen, A. 2011 p. 323-330 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  37. Complex-valued independent component analysis of natural images

    Laparra, V., Gutmann, M. U., Malo, J. & Hyvärinen, A. 2011 p. 213-220 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  38. Hermite Polynomials and Measures of Non-Gaussianity

    Puuronen, J. S. & Hyvärinen, A. 2011 p. 205--212

    Publication: Conference contributionA4 Article in conference publication (refereed)

  39. A general linear non-Gaussian state-space model: Identifiability, identification, and application

    Zhang, K. & Hyvärinen, A. 2011 In : JMRL : Workshop and Conference Proceedings. 20, p. 113–128 16 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  40. Estimating Exogenous Variables in Data with More Variables than Observations

    Sogawa, Y., Shimizu, S., Hyvärinen, A., Washio, T., Shimamura, T. & Imoto, S. 2011 In : Neural Networks. 24, 8, p. 875-880

    Publication: Contribution to journalA1 Refereed journal article

  41. DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model

    Shimizu, S., Inazumi, T., Sogawa, Y., Hyvärinen, A., Kawahara, Y., Washio, T., Hoyer, P. & Bollen, K. 2011 In : Journal of Machine Learning Research. 12, 24 p.

    Publication: Contribution to journalA1 Refereed journal article

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

    Hyvärinen, A. 2011 In : NeuroImage. 58, 1, p. 122-136

    Publication: Contribution to journalA1 Refereed journal article

  43. Visual features underlying perceived brightness as revealed by classification images

    Kurki, I., Peromaa, T., Hyvärinen, A. & Saarinen, J. 2009 In : PLoS One. 4, 10, p. e7432 8 p.

    Publication: Contribution to journalA1 Refereed journal article

  44. Sparse and low-rank estimation of time-varying markov networks with alternating direction method of multipliers

    Hirayama, J., Hyvärinen, A. & Ishii, S. 2010 p. 371-379 9 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  45. Discovery of exogenous variables in data with more variables than observations

    Sogawa, Y., Shimizu, S., Hyvärinen, A., Washio, T., Shimamura, T. & Imoto, S. 2010 p. 67-76

    Publication: Conference contributionA4 Article in conference publication (refereed)

  46. Source separation and higher-order causal analysis of MEG and EEG

    Zhang, K. & Hyvärinen, A. 2010 p. 709-716 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  47. Pairwise measures of causal direction in linear non-gaussian acyclic models

    Hyvärinen, A. 2010 p. 1-16 16 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  48. A Family of Computationally Efficient and Simple Estimators for Unnormalized Statistical Models

    Pihlaja, M., Gutmann, M. U. & Hyvärinen, A. J. 2010 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

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

    Gutmann, M. U. & Hyvärinen, A. 2009 In : BMC Neuroscience. 10, Suppl. 1, p. P144 2 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  50. WordICA-emergence of linguistic representations for words by independent component analysis

    Honkela, T., Hyvärinen, A. & Väyrynen, J. J. 2010 In : Natural Language Engineering. 16, 3, p. 277-308 32 p.

    Publication: Contribution to journalA1 Refereed journal article

  51. A Two-Layer Model of Natural Stimuli Estimated with Score Matching

    Köster, U. & Hyvärinen, A. 2010 In : Neural Computation. 22, 9, p. 2308-2333 26 p.

    Publication: Contribution to journalA1 Refereed journal article

  52. A quasi-stochastic gradient algorithm for variance-dependent component analysis

    Hyvärinen, A. & Shimizu , S. 2006 p. 211–220

    Publication: Conference contributionA4 Article in conference publication (refereed)

  53. Learning encoding and decoding filters for data representation with a spiking neuron

    Gutmann, M., Hyvärinen, A. J. & Aihara , K. 2008

    Publication: Conference contributionA4 Article in conference publication (refereed)

  54. Distinguishing causes from effects using nonlinear acyclic causal models

    Zhang , K. & Hyvärinen, A. 2010 p. 157–164

    Publication: Conference contributionA4 Article in conference publication (refereed)

  55. Iterative algorithms

    Zarzoso , V. & Hyvärinen, A. J. 2010 Handbook on Independent Component Analysis and Blind Source Separation . Academic Press

    Publication: Contribution to book/anthologyA3 Contribution to book/other compilations (refereed)

  56. Characterization of spontaneous neuromagnetic brain rhythms using independent component analysis of short-time Fourier transforms

    Ramkumar, P., Hyvärinen, A., Parkkonen, L. & Hari, R. 2010

    Publication: Conference contributionA4 Article in conference publication (refereed)

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

    Gutmann, U. M. & Hyvärinen, A. 2010 p. 297-304 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  58. ICA with sparse connections: Revisited

    Zhang , K., Peng, H., Chan, L. & Hyvärinen, A. J. 2009 p. 195–202

    Publication: Conference contributionA4 Article in conference publication (refereed)

  59. Causality discovery with additive disturbances: An informationtheoretical perspective

    Zhang , K. & Hyvärinen, A. 2009 p. 570–585 16 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  60. On the identifiability of the post-nonlinear causal model

    Zhang , K. & Hyvärinen, A. 2009 9 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  61. Learning to segment any random vector

    Hyvärinen, A. J. & Perkiö, J. P. 2006 p. 4167–4172 6 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  62. FastISA: A fast fixed-point algorithm for independent subspace analysis

    Hyvärinen, A. J. & Köster , U. 2006

    Publication: Conference contributionA4 Article in conference publication (refereed)

  63. Discovery of non-gaussian linear causal models using ICA

    Shimizu, S., Hyvärinen, A. J., Kano, Y. & Hoyer, P. O. 2005 p. 526–533

    Publication: Conference contributionA4 Article in conference publication (refereed)

  64. A generalized least squares approach to blind separation of sources which have variance dependencies

    Shimizu, S., Hyvärinen, A. J. & Kano, Y. 2005

    Publication: Conference contributionA4 Article in conference publication (refereed)

  65. Statistical models of images and early vision

    Hyvärinen, A. J., Hoyer, P. O., Hurri, J. & Gutmann, M. U. 2005 p. 1–14

    Publication: Conference contributionA4 Article in conference publication (refereed)

  66. A direct method for estimating a causal ordering in a linear non-gaussian acyclic model

    Shimizu, S., Hyvärinen, A., Kawahara, Y. & Washio, T. 2009

    Publication: Conference contributionA4 Article in conference publication (refereed)

  67. Learning natural image structure with a horizontal product model

    Köster, U., Lindgren, J. T., Gutmann, M. & Hyvärinen, A. 2009 p. 507-514 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  68. Estimating Markov random field potentials for natural images

    Köster, U., Lindgren, J. T. & Hyvärinen, A. 2009 p. 515-522 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  69. Emergence of linguistic features: Independent component analysis of contexts

    Honkela, T., Hyvärinen, A. J. & Väyrynen , J. 2005

    Publication: Conference contributionA4 Article in conference publication (refereed)

  70. Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity

    Hyvärinen, A., Zhang , K., Shimizu , S. & Hoyer, P. O. 2010 In : Journal of Machine Learning Research. 11 , p. 1709–1731 23 p.

    Publication: Contribution to journalA1 Refereed journal article

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

    Hyvärinen, A., Gutmann, M. U. & Hoyer, P. O. 2005 In : BMC Neuroscience. 6, p. -

    Publication: Contribution to journalA1 Refereed journal article

  72. Estimation of non-normalized statistical models by score matching

    Hyvarinen, A. 2005 In : Journal of Machine Learning Research. 6, p. 695-709 15 p.

    Publication: Contribution to journalA1 Refereed journal article

  73. A unifying model for blind separation of independent sources

    Hyvärinen, A. 2005 In : Signal Processing. 85, p. 1419-1427 9 p.

    Publication: Contribution to journalA1 Refereed journal article

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

    Esposito, F., Scarabino, T., Hyvärinen, A., Himberg, J., Formisano, E., Comani, S., Tedeschi, G., Goebel, R., Seifritz, E. & Di Salle, F. 2005 In : NeuroImage. 25, p. 193-205 13 p.

    Publication: Contribution to journalA1 Refereed journal article

  75. Statistical models of natural images and cortical visual representation

    Hyvärinen, A. 2010 In : Topics in Cognitive Science. 2 , 2, p. 251-264 14 p.

    Publication: Contribution to journalA2 Review in scientific journal

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

    Hyvärinen , A., Ramkumar, P., Parkkonen, L. & Hari, R. 2010 In : NeuroImage. 49, 1, p. 257-271 15 p.

    Publication: Contribution to journalA1 Refereed journal article

  77. Unsupervised learning by discriminating data from artificial noise

    Gutmann, M. U. & Hyvärinen, A. 2009

    Publication: Conference contributionA4 Article in conference publication (refereed)

  78. Learning features by contrasting natural images with noise

    Gutmann, M. U. & Hyvärinen, A. 2009 p. 623-632 10 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  79. Learning reconstruction and prediction of natural stimuli by a population of spiking neurons

    Gutmann, M. U., Hyvärinen, A. & Aihara , K. 2009

    Publication: Conference contributionA4 Article in conference publication (refereed)

  80. Modelling image complexity by independent component analysis, with application to content-based image retrieval

    Perkiö, J. & Hyvärinen, A. 2009 p. 704-714 11 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  81. Natural image statistics: energy-based models estimated by score matching

    Köster, U. & Hyvärinen, A. 2009 p. 16-25 10 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

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

    Henriksson, L., Hyvärinen, A. & Vanni, S. 2009 In : Journal of Neuroscience. 29, 45, p. 14342-14351 10 p.

    Publication: Contribution to journalA1 Refereed journal article

  83. Natural image statistics: a probabilistic approach to early computational vision

    Hyvärinen, A., Hurri, J. & Hoyer, P. O. 2009 New York: Springer.

    Publication: Book/anthologyC1 Published scientific monograph

  84. Estimation of linear non-Gaussian acyclic models for latent factors

    Shimizu, S., Hoyer, P. O. & Hyvärinen, A. 2009 In : Neurocomputing. 72, 7-9, p. 2024-2027 4 p.

    Publication: Contribution to journalA1 Refereed journal article

  85. Discovery of linear non-gaussian acyclic models in the presence of latent classes

    Shimizu, S. & Hyvärinen, A. 2008 p. 752-761 10 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  86. Unsupervised learning of dependencies between local luminance and contrast in natural images

    Lindgren, J. T., Hurri, J. & Hyvärinen, A. 2008 p. 356-362 7 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  87. On the learning of nonlinear visual features from natural images by optimizing response energies

    Lindgren, J. T. & Hyvärinen, A. 2008 p. 1026-1033 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  88. Estimation theory and information geometry based on denoising

    Hyvärinen, A. 2008

    Publication: Conference contributionA4 Article in conference publication (refereed)

  89. Spatial dependencies between local luminance and contrast in natural images

    Lindgren, J. T., Hurri, J. & Hyvärinen, A. 2008 In : Journal of Vision. 8, 12, p. 1-13 13 p.

    Publication: Contribution to journalA1 Refereed journal article

  90. Optimal approximation of signal priors

    Hyvärinen, A. 2008 In : Neural Computation. 20, 12, p. 3087-3110 24 p.

    Publication: Contribution to journalA1 Refereed journal article

  91. Spatial frequency tuning in human retinotopic visual areas

    Henriksson, L., Nurminen, L., Hyvärinen, A. & Vanni, S. 2008 In : Journal of Vision. 8, 10, p. 1-13 13 p.

    Publication: Contribution to journalA1 Refereed journal article

  92. Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity

    Hyvärinen, A., Shimizu, S. & Hoyer, P. O. 2008 p. 424–431

    Publication: Conference contributionA4 Article in conference publication (refereed)

  93. Causal discovery of linear acyclic models with arbitrary distributions

    Hoyer, P. O., Hyvärinen, A., Scheines, R., Spirtes, P., Ramsey, J., Lacerda, G. & Shimizu, S. 2008 p. 282–289

    Publication: Conference contributionA4 Article in conference publication (refereed)

  94. A two-layer ICA-like model estimated by score matching

    Köster, U. & Hyvärinen, A. 2007 p. 798-807 10 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  95. Behavioural priors: learning to search efficiently in action planning

    Hyvärinen, A. 2007 p. 324-328 5 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  96. Unsupervised learning of an embodied representation for action selection

    Hyvärinen, A. 2007 p. 658-665 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  97. Complex cell pooling and the statistics of natural images

    Hyvärinen, A. & Köster, U. 2007 In : Network: Computation in Neural Systems . 18, 2, p. 81 - 100 20 p.

    Publication: Contribution to journalA1 Refereed journal article

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

    Hyvärinen, A. 2007 In : IEEE Transactions on Neural Networks. 18, 5, p. 1529-1531 3 p.

    Publication: Contribution to journalA1 Refereed journal article

  99. Some extensions of score matching

    Hyvärinen, A. 2007 In : Computational Statistics & Data Analysis. 51, 5, p. 2499-2512 14 p.

    Publication: Contribution to journalA1 Refereed journal article

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

    Asuncion Vicente, M., Hoyer, P. O. & Hyvärinen, A. 2007 In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 29, 5, p. 896-900 5 p.

    Publication: Contribution to journalA1 Refereed journal article

  101. The statistical properties of local log-contrast in natural images

    Lindgren, J. T., Hurri, J. & Hyvärinen, A. 2007 p. 354-363 10 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  102. Emergence of conjunctive visual features by quadratic independent component analysis

    Lindgren, J. T. & Hyvärinen, A. 2007 p. 897-904 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

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

    Kurki, I., Hyvärinen, A. & Laurinen, P. 2006 In : Vision Research. 46, p. 2009-2014 6 p.

    Publication: Contribution to journalA1 Refereed journal article

  104. New permutation algorithms for causal discovery using ICA

    Hoyer, P. O., Shimizu, S., Hyvärinen, A., Kerminen, A. & Kano, Y. 2006 p. 115-122 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  105. Testing significance of mixing and demixing coefficients in ICA

    Shimizu, S., Hyvärinen, A., Hoyer, P. O., Kerminen, A. & Kano, Y. 2006 p. 901-908 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  106. Consistency of pseudolikelihood estimation of fully visible Boltzmann machines

    Hyvärinen, A. 2006 In : Neural Computation. 18, p. 2283-2292 10 p.

    Publication: Contribution to journalA1 Refereed journal article

  107. Finding a causal ordering via independent component analysis

    Shimizu, S., Hyvärinen, A., Hoyer, P. O. & Kano, Y. 2006 In : Computational Statistics & Data Analysis. 50, p. 3278-3293 16 p.

    Publication: Contribution to journalA1 Refereed journal article

  108. A linear non-gaussian acyclic model for causal discovery

    Shimizu, S., Hoyer, P. O., Hyvärinen, A. & Kerminen, A. 2006 In : Journal of Machine Learning Research. 7, p. 2003-2030 28 p.

    Publication: Contribution to journalA1 Refereed journal article