| Independent component analysis: algorithms and applications A Hyvärinen, E Oja Neural networks 13 (4-5), 411-430, 2000 | 14061* | 2000 |
| Independent component analysis A Hyvärinen, J Karhunen, E Oja John Wiley & Sons, Inc, 2001 | 12115* | 2001 |
| Fast and robust fixed-point algorithms for independent component analysis A Hyvarinen IEEE transactions on Neural Networks 10 (3), 626-634, 1999 | 8833 | 1999 |
| A fast fixed-point algorithm for independent component analysis A Hyvärinen, E Oja Neural Computation, 1997 | 4883 | 1997 |
| Noise-contrastive estimation: A new estimation principle for unnormalized statistical models M Gutmann, A Hyvärinen Proceedings of the thirteenth international conference on artificial …, 2010 | 2905 | 2010 |
| 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 | 2050 | 2006 |
| Survey on independent component analysis A Hyvarinen Neural computing surveys 2 (4), 94-128, 1999 | 1984 | 1999 |
| Estimation of non-normalized statistical models by score matching. A Hyvärinen Journal of Machine Learning Research 6 (4), 2005 | 1837 | 2005 |
| Validating the independent components of neuroimaging time series via clustering and visualization J Himberg, A Hyvärinen, F Esposito Neuroimage 22 (3), 1214-1222, 2004 | 1359 | 2004 |
| 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 | 1129 | 2000 |
| Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics. MU Gutmann, A Hyvärinen Journal of machine learning research 13 (2), 2012 | 982 | 2012 |
| Natural Image Statistics: A probabilistic approach to early computational vision A Hyvärinen, J Hurri, PO Hoyer Springer-Verlag New York Inc, 2009 | 947 | 2009 |
| Nonlinear independent component analysis: Existence and uniqueness results A Hyvärinen, P Pajunen Neural Networks 12 (3), 429-439, 1999 | 817 | 1999 |
| 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 | 768 | 2000 |
| New Approximations of Differential Entropy for Independent Component Analysis and projection pursuit A Hyvärinen Advances in neural information processing systems 10, 273, 1998 | 721 | 1998 |
| 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 | 677 | 2011 |
| 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 | 664 | 2020 |
| On the identifiability of the post-nonlinear causal model K Zhang, A Hyvarinen arXiv preprint arXiv:1205.2599, 2012 | 653 | 2012 |
| The fixed-point algorithm and maximum likelihood estimation for independent component analysis A Hyvärinen Neural Processing Letters, 1-5, 1997 | 647 | 1997 |
| Topographic independent component analysis A Hyvärinen, PO Hoyer, M Inki Neural computation 13 (7), 1527-1558, 2001 | 617* | 2001 |
Erkki OjaProfessor of Computer Science and Engineering, Aalto Universityaalto.fi의 이메일 확인됨