Patrik O. Hoyer

	2012
39		Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer: Noisy-OR Models with Latent Confounding CoRR abs/1202.3735: (2012)
38		Doris Entner, Patrik O. Hoyer, Peter Spirtes: Statistical test for consistent estimation of causal effects in linear non-Gaussian models. Journal of Machine Learning Research - Proceedings Track 22: 364-372 (2012)
	2011
37		Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer: Noisy-OR Models with Latent Confounding. UAI 2011: 363-372
36		Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen: DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model. Journal of Machine Learning Research 12: 1225-1248 (2011)
35		Alessio Moneta, Nadine Chlass, Doris Entner, Patrik O. Hoyer: Causal Search in Structural Vector Autoregressive Models. Journal of Machine Learning Research - Proceedings Track 12: 95-114 (2011)
	2010
34		Dominik Janzing, Patrik O. Hoyer, Bernhard Schölkopf: Telling cause from effect based on high-dimensional observations. ICML 2010: 479-486
33		Doris Entner, Patrik O. Hoyer: Discovering Unconfounded Causal Relationships Using Linear Non-Gaussian Models. JSAI-isAI Workshops 2010: 181-195
32		Aapo Hyvärinen, Kun Zhang, Shohei Shimizu, Patrik O. Hoyer: Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity. Journal of Machine Learning Research 11: 1709-1731 (2010)
31		Frederick Eberhardt, Patrik O. Hoyer, Richard Scheines: Combining Experiments to Discover Linear Cyclic Models with Latent Variables. Journal of Machine Learning Research - Proceedings Track 9: 185-192 (2010)
	2009
30		Patrik O. Hoyer, Antti Hyttinen: Bayesian Discovery of Linear Acyclic Causal Models. UAI 2009: 240-248
29		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		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		Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas Peters, Bernhard Schölkopf: Nonlinear causal discovery with additive noise models. NIPS 2008: 689-696
26		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		Gustavo Lacerda, Peter Spirtes, Joseph Ramsey, Patrik O. Hoyer: Discovering Cyclic Causal Models by Independent Components Analysis. UAI 2008: 366-374
24		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		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		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		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		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		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		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		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		Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer: Discovery of Non-gaussian Linear Causal Models using ICA. UAI 2005: 525-533
	2004
15		Patrik O. Hoyer: Non-negative matrix factorization with sparseness constraints CoRR cs.LG/0408058: (2004)
14		Patrik O. Hoyer: Non-negative Matrix Factorization with Sparseness Constraints. Journal of Machine Learning Research 5: 1457-1469 (2004)
	2003
13		Patrik O. Hoyer: Modeling receptive fields with non-negative sparse coding. Neurocomputing 52-54: 547-552 (2003)
	2002
12		Patrik O. Hoyer, Aapo Hyvärinen: Interpreting Neural Response Variability as Monte Carlo Sampling of the Posterior. NIPS 2002: 277-284
11		Patrik O. Hoyer: Non-negative sparse coding CoRR cs.NE/0202009: (2002)
10		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		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		Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki: Topographic ICA as a Model of Natural Image Statistics. Biologically Motivated Computer Vision 2000: 535-544
6		Patrik O. Hoyer, Aapo Hyvärinen: Feature Extraction from Color and Stereo Images Using ICA. IJCNN (3) 2000: 369-376
5		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		Aapo Hyvärinen, Patrik O. Hoyer: Emergence of Topography and Complex Cell Properties from Natural Images using Extensions of ICA. NIPS 1999: 827-833
2		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		Aapo Hyvärinen, Patrik O. Hoyer, Erkki Oja: Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation. NIPS 1998: 473-479

Coauthor Index

1	Kenneth Bollen	[36]
2	Nadine Chlass	[35]
3	Frederick Eberhardt	[31] [37] [39]
4	Doris Entner	[33] [35] [38]
5	Antti Hyttinen	[30] [37] [39]
6	Aapo Hyvärinen	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [12] [16] [17] [18] [21] [22] [23] [26] [28] [29] [32] [36]
7	Takanori Inazumi	[36]
8	Mika Inki	[5] [7] [9]
9	Dominik Janzing	[27] [34]
10	Yutaka Kano	[16] [18] [21] [22]
11	Yoshinobu Kawahara	[36]
12	Antti J. Kerminen	[17] [19] [20] [21] [22] [24]
13	Gustavo Lacerda	[25] [26]
14	Alessio Moneta	[35]
15	Joris M. Mooij	[27]
16	Erkki Oja	[1] [2]
17	Markus Palviainen	[24]
18	Jonas Peters	[27]
19	Joseph Ramsey	[25] [26]
20	Richard Scheines	[26] [31]
21	Bernhard Schölkopf	[27] [34]
22	Shohei Shimizu	[16] [17] [18] [19] [20] [21] [22] [24] [26] [28] [29] [32] [36]
23	Yasuhiro Sogawa	[36]
24	Peter Spirtes	[25] [26] [38]
25	M. Asuncion Vicente	[23]
26	Takashi Washio	[36]
27	Kun Zhang	[32]

Last update Thu May 31 18:55:10 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page