Patrik Hoyer

Cited by

	All	Since 2019
Citations	16335	6246
h-index	40	28
i10-index	62	39

1300

650

325

975

200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023202441 81 135 209 231 299 399 445 468 477 606 600 735 866 896 866 865 850 851 890 924 962 1161 1284 1025

Public access

View all

1 article

0 articles

available

not available

Based on funding mandates

Co-authors

Aapo HyvarinenUniversity of HelsinkiVerified email at helsinki.fi
SHIMIZU ShoheiShiga University & RIKENVerified email at biwako.shiga-u.ac.jp
Antti HyttinenSilo AIVerified email at alumni.helsinki.fi
Erkki OjaProfessor of Computer Science and Engineering, Aalto UniversityVerified email at aalto.fi
Dominik JanzingAmazon Development Center, TuebingenVerified email at amazon.com
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Jonas PetersProfessor of Statistics, ETH ZurichVerified email at stat.math.ethz.ch
Joris M. MooijProfessor in Mathematical Statistics, Korteweg-de Vries Institute, University of Amsterdam (NL)Verified email at uva.nl
Alessio MonetaScuola Superiore Sant'Anna, PisaVerified email at sssup.it
Joseph RamseyCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Alex CoadWaseda Business School, Waseda University, Tokyo, JapanVerified email at waseda.jp
Yutaka KanoDoshisha UniversityVerified email at sigmath.es.osaka-u.ac.jp
Kenneth BollenDepartment of Psychology and Neuroscience, Department of Sociology, University of North Carolina atVerified email at unc.edu
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at cmu.edu
Richard ScheinesDean, Dietrich College of Humanities and Social Sciences, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Michael U. GutmannUniversity of EdinburghVerified email at ed.ac.uk
María Asunción Vicente RipollLecturer and researcher at Miguel Hernández UniversityVerified email at umh.es
Matti JärvisaloProfessor, University of HelsinkiVerified email at helsinki.fi
Gustavo Lacerdaindependent
Ella BinghamHead of Research Services, Aalto UniversityVerified email at aalto.fi

Patrik Hoyer

Alumni, Aalto University and University of Helsinki

Verified email at alumni.aalto.fi

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Non-negative matrix factorization with sparseness constraints. PO Hoyer Journal of machine learning research 5 (9), 2004	3728	2004
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	1892	2006
Nonlinear causal discovery with additive noise models P Hoyer, D Janzing, JM Mooij, J Peters, B Schölkopf Advances in neural information processing systems 21, 2008	1194	2008
Non-negative sparse coding PO Hoyer Proceedings of the 12th IEEE workshop on neural networks for signal …, 2002	1165	2002
Natural image statistics: A probabilistic approach to early computational vision. A Hyvärinen, J Hurri, PO Hoyer Springer Science & Business Media, 2009	913	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	761	2000
Topographic independent component analysis A Hyvärinen, PO Hoyer, M Inki Neural computation 13 (7), 1527-1558, 2001	640	2001
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	614	2011
Sparse code shrinkage: Denoising by nonlinear maximum likelihood estimation A Hyvärinen, P Hoyer, E Oja Advances in Neural Information Processing Systems 11, 1998	593	1998
Estimation of a structural vector autoregression model using non-gaussianity. A Hyvärinen, K Zhang, S Shimizu, PO Hoyer Journal of Machine Learning Research 11 (5), 2010	432	2010
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	389	2000
A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images A Hyvärinen, PO Hoyer Vision research 41 (18), 2413-2423, 2001	356	2001
Estimation of causal effects using linear non-Gaussian causal models with hidden variables PO Hoyer, S Shimizu, AJ Kerminen, M Palviainen International Journal of Approximate Reasoning 49 (2), 362-378, 2008	248	2008
Interpreting neural response variability as Monte Carlo sampling of the posterior P Hoyer, A Hyvärinen Advances in neural information processing systems 15, 2002	238	2002
Causal inference by independent component analysis: Theory and applications A Moneta, D Entner, PO Hoyer, A Coad Oxford Bulletin of Economics and Statistics 75 (5), 705-730, 2013	233	2013
Discovering cyclic causal models by independent components analysis G Lacerda, PL Spirtes, J Ramsey, PO Hoyer arXiv preprint arXiv:1206.3273, 2012	212	2012
A multi-layer sparse coding network learns contour coding from natural images PO Hoyer, A Hyvärinen Vision research 42 (12), 1593-1605, 2002	207	2002
Image denoising by sparse code shrinkage S Haykin, B Kosko Wiley-IEEE Press, 2001	188*	2001
Modeling receptive fields with non-negative sparse coding PO Hoyer Neurocomputing 52, 547-552, 2003	166	2003
On causal discovery from time series data using FCI D Entner, PO Hoyer Probabilistic graphical models 16, 2010	158	2010

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors