Aapo Hyvarinen

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	All	Since 2016
Citations	53385	15704
h-index	65	42
i10-index	167	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
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 RamkumarSystem1 BiosciencesVerified email at system1.bio
Ricardo Pio MontiGatsby Unit, UCLVerified email at gatsby.ucl.ac.uk
Ella BinghamHead of Research Services, Aalto UniversityVerified email at aalto.fi
Urs KösterCerebrasVerified email at cerebras.net
Fabrizio EspositoProfessor of Biomedical Engineering, University of Campania "Luigi Vanvitelli", Naples (Italy)Verified email at unicampania.it
Timo HonkelaUniversity of HelsinkiVerified email at helsinki.fi
Yutaka KanoOsaka UniversityVerified email at sigmath.es.osaka-u.ac.jp
Yoshinobu KawaharaProfessor, IMI, Kyushu University / Team Leader, AIP Center, RIKENVerified email at imi.kyushu-u.ac.jp
Simo VanniClinical Neurosciences, Neurology; University of Helsinki and Helsinki University HospitalVerified email at helsinki.fi
Ricardo VigárioUniversidade Nova de LisboaVerified email at fct.unl.pt
Stephen M. SmithWIN (FMRIB), Oxford UniversityVerified email at fmrib.ox.ac.uk
Ilyes KhemakhemPhD candidate, Gatsby Unit, UCLVerified email at gatsby.ucl.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	21615	2000
Fast and robust fixed-point algorithms for independent component analysis A Hyvarinen IEEE transactions on Neural Networks 10 (3), 626-634, 1999	10633*	1999
A fast fixed-point algorithm for independent component analysis A Hyvärinen, E Oja Neural Computation, 1997	4345	1997
Survey on independent component analysis A Hyvarinen Neural computing surveys 2 (4), 94-128, 1999	1837	1999
Probabilistic non-linear principal component analysis with Gaussian process latent variable models. N Lawrence, A Hyvärinen Journal of machine learning research 6 (11), 2005	1076	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	998	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	962	2000
A linear non-Gaussian acyclic model for causal discovery. S Shimizu, PO Hoyer, A Hyvärinen, A Kerminen, M Jordan Journal of Machine Learning Research 7 (10), 2006	872	2006
Natural Image Statistics: A probabilistic approach to early computational vision A Hyvärinen, J Hurri, PO Hoyer Springer-Verlag New York Inc, 2009	752	2009
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models M Gutmann, A Hyvärinen Proceedings of the Thirteenth International Conference on Artificial …, 2010	722	2010
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	683	2000
Analysis and projection pursuit A Hyvärinen Advances in neural information processing systems 10, 273, 1998	627	1998
Topographic independent component analysis as a model of V1 organization and receptive fields A Hyvärinen, PO Hoyer Neurocomputing 38, 1307-1315, 2001	579*	2001
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	538	2012
Sparse code shrinkage: Denoising of nongaussian data by maximum likelihood estimation A Hyvärinen Neural computation 11 (7), 1739-1768, 1999	523	1999
Estimation of Non-Normalized Statistical Models by Score Matching. A Hyvärinen Journal of Machine Learning Research 6 (4), 2005	516	2005
Nonlinear independent component analysis: Existence and uniqueness results A Hyvärinen, P Pajunen Neural Networks 12 (3), 429-439, 1999	497	1999
Gaussian moments for noisy independent component analysis A Hyvarinen IEEE Signal Processing Letters 6 (6), 145-147, 1999	463*	1999
Karhunen and E J Hyvarinen Oja,“Independent Component Analysis,” John Wiley, Hoboken, 2001	412*	2001
Independent component analysis of nondeterministic fMRI signal sources V Kiviniemi, JH Kantola, J Jauhiainen, A Hyvärinen, O Tervonen Neuroimage 19 (2), 253-260, 2003	403	2003

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