Aapo Hyvarinen - Google Scholar

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Citations	50391	16601
h-index	62	42
i10-index	162	101

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Erkki OjaProfessor of Computer Science and Engineering, Aalto UniversityVerified email at aalto.fi
Patrik HoyerAlumni, Aalto University and University of HelsinkiVerified email at alumni.aalto.fi
Michael U. GutmannUniversity of EdinburghVerified email at ed.ac.uk
Shohei SHIMIZUShiga University & RIKENVerified email at biwako.shiga-u.ac.jp
Juha KarhunenProfessori, Aalto YliopistoVerified email at aalto.fi
Kun ZhangCarnegie Mellon University & Max-Planck Institute for Intelligent SystemsVerified email at cmu.edu
Lauri ParkkonenProfessor, Aalto UniversityVerified email at aalto.fi
Johan HimbergReaktor Ltd.Verified email at reaktor.com
Riitta HariProf. (emer.) @ Aalto University, School of Arts, Design and Architecture & School of ScienceVerified email at aalto.fi
Pavan RamkumarVerified email at northwestern.edu
Ella BinghamHead of Research Services, Aalto UniversityVerified email at aalto.fi
Urs KösterCerebrasVerified email at cerebras.net
Fabrizio ESPOSITOProfessor of Bioengineering, University of SalernoVerified email at unisa.it
Timo HonkelaUniversity of HelsinkiVerified email at helsinki.fi
Ricardo Pio MontiGatsby Unit, UCLVerified email at gatsby.ucl.ac.uk
Yutaka KanoOsaka UniversityVerified email at sigmath.es.osaka-u.ac.jp
Simo VanniClinical Neurosciences, Neurology; University of Helsinki and Helsinki University HospitalVerified email at helsinki.fi
Yoshinobu KawaharaProfessor, IMI, Kyushu University / Team Leader, AIP Center, RIKENVerified email at imi.kyushu-u.ac.jp
Ricardo VigárioUniversidade Nova de LisboaVerified email at fct.unl.pt
Stephen M. SmithWIN (FMRIB), Oxford UniversityVerified email at fmrib.ox.ac.uk

Aapo Hyvarinen

University of Helsinki

Verified email at helsinki.fi - Homepage

Machine learning Computational Neuroscience #UnivHelsinkiCS


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Independent component analysis: algorithms and applications A Hyvärinen, E Oja Neural networks 13 (4-5), 411-430, 2000	21086*	2000
Fast and robust fixed-point algorithms for independent component analysis A Hyvarinen IEEE transactions on Neural Networks 10 (3), 626-634, 1999	10376*	1999
A fast fixed-point algorithm for independent component analysis A Hyvärinen, E Oja Neural Computation, 1997	4327	1997
Survey on independent component analysis A Hyvarinen Neural computing surveys 2 (4), 94-128, 1999	1837	1999
Validating the independent components of neuroimaging time series via clustering and visualization J Himberg, A Hyvärinen, F Esposito Neuroimage 22 (3), 1214-1222, 2004	959	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	928	2000
A linear non-Gaussian acyclic model for causal discovery S Shimizu, PO Hoyer, A Hyvärinen, A Kerminen Journal of Machine Learning Research 7 (Oct), 2003-2030, 2006	800	2006
Natural Image Statistics: A probabilistic approach to early computational vision A Hyvärinen, J Hurri, PO Hoyer Springer-Verlag New York Inc, 2009	723	2009
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	665	2000
New approximations of differential entropy for independent component analysis and projection pursuit A Hyvärinen Advances in neural information processing systems, 273-279, 1998	617	1998
Topographic independent component analysis as a model of V1 organization and receptive fields A Hyvärinen, PO Hoyer Neurocomputing 38, 1307-1315, 2001	589*	2001
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models M Gutmann, A Hyvärinen Proceedings of the Thirteenth International Conference on Artificial …, 2010	587	2010
Sparse code shrinkage: Denoising by nonlinear maximum likelihood estimation A Hyvärinen, PO Hoyer, E Oja Advances in Neural Information Processing Systems, 473-479, 1999	577	1999
Gaussian moments for noisy independent component analysis A Hyvarinen IEEE Signal Processing Letters 6 (6), 145-147, 1999	527*	1999
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	497	2012
Nonlinear independent component analysis: Existence and uniqueness results A Hyvärinen, P Pajunen Neural Networks 12 (3), 429-439, 1999	470	1999
Estimation of Non-Normalized Statistical Models by Score Matching. A Hyvärinen Journal of Machine Learning Research 6 (4), 2005	468	2005
Independent component analysis of nondeterministic fMRI signal sources V Kiviniemi, JH Kantola, J Jauhiainen, A Hyvärinen, O Tervonen Neuroimage 19 (2), 253-260, 2003	388	2003
Independent component analysis of fMRI group studies by self-organizing clustering F Esposito, T Scarabino, A Hyvarinen, J Himberg, E Formisano, S Comani, ... Neuroimage 25 (1), 193-205, 2005	360	2005
Independent component analysis applied to feature extraction from colour and stereo images PO Hoyer, A Hyvärinen Network: computation in neural systems 11 (3), 191-210, 2000	352	2000

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