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Aapo Hyvärinen
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Cited by
Year
Independent component analysis
A Hyvärinen, J Karhunen, E Oja
John Wiley & Sons, Inc, 2001
18334*2001
Independent component analysis: algorithms and applications
A Hyvärinen, E Oja
Neural networks 13 (4-5), 411-430, 2000
9303*2000
Fast and robust fixed-point algorithms for independent component analysis
A Hyvarinen
IEEE transactions on Neural Networks 10 (3), 626-634, 1999
88721999
A fast fixed-point algorithm for independent component analysis
A Hyvärinen, E Oja
Neural Computation, 1997
48311997
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
M Gutmann, A Hyvärinen
Proceedings of the thirteenth international conference on artificial …, 2010
29722010
A linear non-Gaussian acyclic model for causal discovery.
S Shimizu, PO Hoyer, A Hyvärinen, A Kerminen
Journal of Machine Learning Research 7 (10), 2006
20962006
Survey on independent component analysis
A Hyvarinen
Neural computing surveys 2 (4), 94-128, 1999
19901999
Estimation of non-normalized statistical models by score matching.
A Hyvärinen
Journal of Machine Learning Research 6 (4), 2005
19242005
Validating the independent components of neuroimaging time series via clustering and visualization
J Himberg, A Hyvärinen, F Esposito
Neuroimage 22 (3), 1214-1222, 2004
13692004
A fast fixed-point algorithm for independent component analysis of complex valued signals
E Bingham, A Hyvärinen
International journal of neural systems 10 (01), 1-8, 2000
11232000
Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics
MU Gutmann, A Hyvärinen
The journal of machine learning research 13 (1), 307-361, 2012
9872012
Natural Image Statistics: A probabilistic approach to early computational vision
A Hyvärinen, J Hurri, PO Hoyer
Springer-Verlag New York Inc, 2009
9482009
Nonlinear independent component analysis: Existence and uniqueness results
A Hyvärinen, P Pajunen
Neural Networks 12 (3), 429-439, 1999
8431999
Emergence of phase-and shift-invariant features by decomposition of natural images into independent feature subspaces
A Hyvärinen, P Hoyer
Neural computation 12 (7), 1705-1720, 2000
7692000
New Approximations of Differential Entropy for Independent Component Analysis and projection pursuit
A Hyvärinen
Advances in neural information processing systems 10, 273, 1998
7311998
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model
S Shimizu, T Inazumi, Y Sogawa, A Hyvarinen, Y Kawahara, T Washio, ...
Journal of Machine Learning Research-JMLR 12 (Apr), 1225-1248, 2011
6962011
Variational autoencoders and nonlinear ica: A unifying framework
I Khemakhem, D Kingma, R Monti, A Hyvarinen
International conference on artificial intelligence and statistics, 2207-2217, 2020
6912020
On the identifiability of the post-nonlinear causal model
K Zhang, A Hyvarinen
arXiv preprint arXiv:1205.2599, 2012
6732012
Topographic independent component analysis
A Hyvärinen, PO Hoyer, M Inki
Neural computation 13 (7), 1527-1558, 2001
6212001
Sparse code shrinkage: Denoising by nonlinear maximum likelihood estimation
A Hyvärinen, P Hoyer, E Oja
Advances in Neural Information Processing Systems 11, 1998
6111998
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Articles 1–20