Patrik Hoyer 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	16060	5989
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Aapo HyvarinenUniversity of Helsinki在 helsinki.fi 的电子邮件经过验证
SHIMIZU ShoheiShiga University & RIKEN在 biwako.shiga-u.ac.jp 的电子邮件经过验证
Antti HyttinenSilo AI在 alumni.helsinki.fi 的电子邮件经过验证
Erkki OjaProfessor of Computer Science and Engineering, Aalto University在 aalto.fi 的电子邮件经过验证
Dominik JanzingAmazon Development Center, Tuebingen在 amazon.com 的电子邮件经过验证
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETH在 tuebingen.mpg.de 的电子邮件经过验证
Jonas PetersProfessor of Statistics, ETH Zurich在 stat.math.ethz.ch 的电子邮件经过验证
Joris M. MooijProfessor in Mathematical Statistics, Korteweg-de Vries Institute, University of Amsterdam (NL)在 uva.nl 的电子邮件经过验证
Alessio MonetaScuola Superiore Sant'Anna, Pisa在 sssup.it 的电子邮件经过验证
Joseph RamseyCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Alex CoadWaseda Business School, Waseda University, Tokyo, Japan在 waseda.jp 的电子邮件经过验证
Yutaka KanoDoshisha University在 sigmath.es.osaka-u.ac.jp 的电子邮件经过验证
Kenneth BollenDepartment of Psychology and Neuroscience, Department of Sociology, University of North Carolina at在 unc.edu 的电子邮件经过验证
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)在 cmu.edu 的电子邮件经过验证
Richard ScheinesDean, Dietrich College of Humanities and Social Sciences, Carnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Michael U. GutmannUniversity of Edinburgh在 ed.ac.uk 的电子邮件经过验证
María Asunción Vicente RipollLecturer and researcher at Miguel Hernández University在 umh.es 的电子邮件经过验证
Matti JärvisaloProfessor, University of Helsinki在 helsinki.fi 的电子邮件经过验证
Gustavo Lacerdaindependent
Ella BinghamHead of Research Services, Aalto University在 aalto.fi 的电子邮件经过验证

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Patrik Hoyer

Alumni, Aalto University and University of Helsinki

在 alumni.aalto.fi 的电子邮件经过验证

Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Non-negative matrix factorization with sparseness constraints. PO Hoyer Journal of machine learning research 5 (9), 2004	3691	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	1825	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	1160	2008
Non-negative sparse coding PO Hoyer Proceedings of the 12th IEEE workshop on neural networks for signal …, 2002	1160	2002
Natural image statistics: A probabilistic approach to early computational vision. A Hyvärinen, J Hurri, PO Hoyer Springer Science & Business Media, 2009	908	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	754	2000
Topographic independent component analysis A Hyvärinen, PO Hoyer, M Inki Neural computation 13 (7), 1527-1558, 2001	636	2001
Sparse code shrinkage: Denoising by nonlinear maximum likelihood estimation A Hyvärinen, P Hoyer, E Oja Advances in Neural Information Processing Systems 11, 1998	590	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	585	2011
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	411	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	353	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	241	2008
Interpreting neural response variability as Monte Carlo sampling of the posterior P Hoyer, A Hyvärinen Advances in neural information processing systems 15, 2002	234	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	221	2013
Discovering cyclic causal models by independent components analysis G Lacerda, PL Spirtes, J Ramsey, PO Hoyer arXiv preprint arXiv:1206.3273, 2012	208	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	151	2010

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