Patrik O. Hoyer

2009
29	EE	Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärinen: Estimation of linear non-Gaussian acyclic models for latent factors. Neurocomputing 72(7-9): 2024-2027 (2009)
2008
28	EE	Aapo Hyvärinen, Shohei Shimizu, Patrik O. Hoyer: Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity. ICML 2008: 424-431
27	EE	Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas Peters, Bernhard Schölkopf: Nonlinear causal discovery with additive noise models. NIPS 2008: 689-696
26	EE	Patrik O. Hoyer, Aapo Hyvärinen, Richard Scheines, Peter Spirtes, Joseph Ramsey, Gustavo Lacerda, Shohei Shimizu: Causal discovery of linear acyclic models with arbitrary distributions. UAI 2008: 282-289
25	EE	Gustavo Lacerda, Peter Spirtes, Joseph Ramsey, Patrik O. Hoyer: Discovering Cyclic Causal Models by Independent Components Analysis. UAI 2008: 366-374
24	EE	Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen, Markus Palviainen: Estimation of causal effects using linear non-Gaussian causal models with hidden variables. Int. J. Approx. Reasoning 49(2): 362-378 (2008)
2007
23	EE	M. Asuncion Vicente, Patrik O. Hoyer, Aapo Hyvärinen: Equivalence of Some Common Linear Feature Extraction Techniques for Appearance-Based Object Recognition Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 29(5): 896-900 (2007)
2006
22	EE	Patrik O. Hoyer, Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Antti J. Kerminen: New Permutation Algorithms for Causal Discovery Using ICA. ICA 2006: 115-122
21	EE	Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer, Antti J. Kerminen: Testing Significance of Mixing and Demixing Coefficients in ICA. ICA 2006: 901-908
20	EE	Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen: Estimation of linear, non-gaussian causal models in the presence of confounding latent variables. Probabilistic Graphical Models 2006: 155-162
19	EE	Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen: Estimation of linear, non-gaussian causal models in the presence of confounding latent variables CoRR abs/cs/0603038: (2006)
18	EE	Shohei Shimizu, Aapo Hyvärinen, Patrik O. Hoyer, Yutaka Kano: Finding a causal ordering via independent component analysis. Computational Statistics & Data Analysis 50(11): 3278-3293 (2006)
17	EE	Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärinen, Antti J. Kerminen: A Linear Non-Gaussian Acyclic Model for Causal Discovery. Journal of Machine Learning Research 7: 2003-2030 (2006)
2005
16	EE	Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer: Discovery of Non-gaussian Linear Causal Models using ICA. UAI 2005: 525-533
2004
15	EE	Patrik O. Hoyer: Non-negative matrix factorization with sparseness constraints CoRR cs.LG/0408058: (2004)
14	EE	Patrik O. Hoyer: Non-negative Matrix Factorization with Sparseness Constraints. Journal of Machine Learning Research 5: 1457-1469 (2004)
2003
13	EE	Patrik O. Hoyer: Modeling receptive fields with non-negative sparse coding. Neurocomputing 52-54: 547-552 (2003)
2002
12	EE	Patrik O. Hoyer, Aapo Hyvärinen: Interpreting Neural Response Variability as Monte Carlo Sampling of the Posterior. NIPS 2002: 277-284
11	EE	Patrik O. Hoyer: Non-negative sparse coding CoRR cs.NE/0202009: (2002)
10	EE	Patrik O. Hoyer, Aapo Hyvärinen: Sparse coding of natural contours. Neurocomputing 44-46: 459-466 (2002)
2001
9		Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki: Topographic Independent Component Analysis. Neural Computation 13(7): 1527-1558 (2001)
8	EE	Aapo Hyvärinen, Patrik O. Hoyer: Topographic independent component analysis as a model of V1 organization and receptive fields. Neurocomputing 38-40: 1307-1315 (2001)
2000
7	EE	Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki: Topographic ICA as a Model of Natural Image Statistics. Biologically Motivated Computer Vision 2000: 535-544
6	EE	Patrik O. Hoyer, Aapo Hyvärinen: Feature Extraction from Color and Stereo Images Using ICA. IJCNN (3) 2000: 369-376
5	EE	Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki: Topographic ICA as a Model of V1 Receptive Fields. IJCNN (4) 2000: 83-88
4		Aapo Hyvärinen, Patrik O. Hoyer: Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces. Neural Computation 12(7): 1705-1720 (2000)
1999
3	EE	Aapo Hyvärinen, Patrik O. Hoyer: Emergence of Topography and Complex Cell Properties from Natural Images using Extensions of ICA. NIPS 1999: 827-833
2	EE	Erkki Oja, Aapo Hyvärinen, Patrik O. Hoyer: Image Feature Extraction and Denoising by Sparse Coding. Pattern Anal. Appl. 2(2): 104-110 (1999)
1998
1	EE	Aapo Hyvärinen, Patrik O. Hoyer, Erkki Oja: Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation. NIPS 1998: 473-479

Coauthor Index

1	Aapo Hyvärinen	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [12] [16] [17] [18] [21] [22] [23] [26] [28] [29]
2	Mika Inki	[5] [7] [9]
3	Dominik Janzing	[27]
4	Yutaka Kano	[16] [18] [21] [22]
5	Antti J. Kerminen	[17] [19] [20] [21] [22] [24]
6	Gustavo Lacerda	[25] [26]
7	Joris M. Mooij	[27]
8	Erkki Oja	[1] [2]
9	Markus Palviainen	[24]
10	Jonas Peters	[27]
11	Joseph Ramsey	[25] [26]
12	Richard Scheines	[26]
13	Bernhard Schölkopf	[27]
14	Shohei Shimizu	[16] [17] [18] [19] [20] [21] [22] [24] [26] [28] [29]
15	Peter Spirtes	[25] [26]
16	M. Asuncion Vicente	[23]

Colors in the list of coauthors