Aapo Hyvärinen

	2012
98		Miika Pihlaja, Michael Gutmann, Aapo Hyvärinen: A Family of Computationally Efficient and Simple Estimators for Unnormalized Statistical Models CoRR abs/1203.3506: (2012)
97		Kun Zhang, Aapo Hyvärinen: Source Separation and Higher-Order Causal Analysis of MEG and EEG CoRR abs/1203.3533: (2012)
96		Kun Zhang, Aapo Hyvärinen: On the Identifiability of the Post-Nonlinear Causal Model CoRR abs/1205.2599: (2012)
95		Michael Gutmann, Aapo Hyvärinen: Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics. Journal of Machine Learning Research 13: 307-361 (2012)
	2011
94		Michael Gutmann, Aapo Hyvärinen: Extracting Coactivated Features from Multiple Data Sets. ICANN (1) 2011: 323-330
93		Jouni Puuronen, Aapo Hyvärinen: Hermite Polynomials and Measures of Non-gaussianity. ICANN (2) 2011: 205-212
92		Valero Laparra, Michael Gutmann, Jesús Malo, Aapo Hyvärinen: Complex-Valued Independent Component Analysis of Natural Images. ICANN (2) 2011: 213-220
91		Junichiro Hirayama, Aapo Hyvärinen: Structural equations and divisive normalization for energy-dependent component analysis. NIPS 2011: 1872-1880
90		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)
89		Kun Zhang, Aapo Hyvärinen: A General Linear Non-Gaussian State-Space Model. Journal of Machine Learning Research - Proceedings Track 20: 113-128 (2011)
88		Yasuhiro Sogawa, Shohei Shimizu, Teppei Shimamura, Aapo Hyvärinen, Takashi Washio, Seiya Imoto: Estimating exogenous variables in data with more variables than observations. Neural Networks 24(8): 875-880 (2011)
87		Aapo Hyvärinen: Testing the ICA mixing matrix based on inter-subject or inter-session consistency. NeuroImage 58(1): 122-136 (2011)
	2010
86		Yasuhiro Sogawa, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio, Teppei Shimamura, Seiya Imoto: Discovery of Exogenous Variables in Data with More Variables Than Observations. ICANN (1) 2010: 67-76
85		Junichiro Hirayama, Aapo Hyvärinen, Shin Ishii: Sparse and Low-Rank Estimation of Time-Varying Markov Networks with Alternating Direction Method of Multipliers. ICONIP (1) 2010: 371-379
84		Miika Pihlaja, Michael Gutmann, Aapo Hyvärinen: A Family of Computationally E cient and Simple Estimators for Unnormalized Statistical Models. UAI 2010: 442-449
83		Kun Zhang, Aapo Hyvärinen: Source Separation and Higher-Order Causal Analysis of MEG and EEG. UAI 2010: 709-716
82		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)
81		Aapo Hyvärinen: Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models. Journal of Machine Learning Research - Proceedings Track 13: 1-16 (2010)
80		Kun Zhang, Aapo Hyvärinen: Nonlinear acyclic causal models. Journal of Machine Learning Research - Proceedings Track 6: 157-164 (2010)
79		Michael Gutmann, Aapo Hyvärinen: Noise-contrastive estimation: A new estimation principle for unnormalized statistical models. Journal of Machine Learning Research - Proceedings Track 9: 297-304 (2010)
78		Timo Honkela, Aapo Hyvärinen, Jaakko J. Väyrynen: WordICA - emergence of linguistic representations for words by independent component analysis. Natural Language Engineering 16(3): 277-308 (2010)
77		Urs Köster, Aapo Hyvärinen: A Two-Layer Model of Natural Stimuli Estimated with Score Matching. Neural Computation 22(9): 2308-2333 (2010)
	2009
76		Kun Zhang, Aapo Hyvärinen: Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective. ECML/PKDD (2) 2009: 570-585
75		Michael Gutmann, Aapo Hyvärinen: Learning reconstruction and prediction of natural stimuli by a population of spiking neurons. ESANN 2009
74		Kun Zhang, Heng Peng, Laiwan Chan, Aapo Hyvärinen: ICA with Sparse Connections: Revisited. ICA 2009: 195-202
73		Urs Köster, Jussi T. Lindgren, Michael Gutmann, Aapo Hyvärinen: Learning Natural Image Structure with a Horizontal Product Model. ICA 2009: 507-514
72		Urs Köster, Jussi T. Lindgren, Aapo Hyvärinen: Estimating Markov Random Field Potentials for Natural Images. ICA 2009: 515-522
71		Michael Gutmann, Aapo Hyvärinen: Learning Features by Contrasting Natural Images with Noise. ICANN (2) 2009: 623-632
70		Jukka Perkiö, Aapo Hyvärinen: Modelling Image Complexity by Independent Component Analysis, with Application to Content-Based Image Retrieval. ICANN (2) 2009: 704-714
69		Shohei Shimizu, Aapo Hyvärinen, Yoshinobu Kawahara: A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model. UAI 2009: 506-513
68		Kun Zhang, Aapo Hyvärinen: On the Identifiability of the Post-Nonlinear Causal Model. UAI 2009: 647-655
67		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
66		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
65		Jussi T. Lindgren, Aapo Hyvärinen: On the learning of nonlinear visual features from natural images by optimizing response energies. IJCNN 2008: 1026-1033
64		Michael Gutmann, Aapo Hyvärinen, Kazuyuki Aihara: Learning encoding and decoding filters for data representation with a spiking neuron. IJCNN 2008: 243-248
63		Jussi T. Lindgren, Jarmo Hurri, Aapo Hyvärinen: Unsupervised learning of dependencies between local luminance and contrast in natural images. IJCNN 2008: 356-362
62		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
61		Aapo Hyvärinen: Optimal Approximation of Signal Priors. Neural Computation 20(12): 3087-3110 (2008)
	2007
60		Urs Köster, Aapo Hyvärinen: A Two-Layer ICA-Like Model Estimated by Score Matching. ICANN (2) 2007: 798-807
59		Shohei Shimizu, Aapo Hyvärinen: Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes. ICONIP (1) 2007: 752-761
58		Jussi T. Lindgren, Jarmo Hurri, Aapo Hyvärinen: The Statistical Properties of Local Log-Contrast in Natural Images. SCIA 2007: 354-363
57		Aapo Hyvärinen: Some extensions of score matching. Computational Statistics & Data Analysis 51(5): 2499-2512 (2007)
56		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)
55		Aapo Hyvärinen: Connections Between Score Matching, Contrastive Divergence, and Pseudolikelihood for Continuous-Valued Variables. IEEE Transactions on Neural Networks 18(5): 1529-1531 (2007)
	2006
54		Aapo Hyvärinen, Urs Köster: FastISA: A fast fixed-point algorithm for independent subspace analysis. ESANN 2006: 371-376
53		Patrik O. Hoyer, Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Antti J. Kerminen: New Permutation Algorithms for Causal Discovery Using ICA. ICA 2006: 115-122
52		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
51		Aapo Hyvärinen, Shohei Shimizu: A Quasi-stochastic Gradient Algorithm for Variance-Dependent Component Analysis. ICANN (2) 2006: 211-220
50		Aapo Hyvärinen, Jukka Perkiö: Learning to Segment Any Random Vector. IJCNN 2006: 4167-4172
49		Jussi T. Lindgren, Aapo Hyvärinen: Emergence of conjunctive visual features by quadratic independent component analysis. NIPS 2006: 897-904
48		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)
47		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)
46		Aapo Hyvärinen: Consistency of Pseudolikelihood Estimation of Fully Visible Boltzmann Machines. Neural Computation 18(10): 2283-2292 (2006)
	2005
45		Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer: Discovery of Non-gaussian Linear Causal Models using ICA. UAI 2005: 525-533
44		Aapo Hyvärinen: Estimation of Non-Normalized Statistical Models by Score Matching. Journal of Machine Learning Research 6: 695-709 (2005)
43		Aapo Hyvärinen: A unifying model for blind separation of independent sources. Signal Processing 85(7): 1419-1427 (2005)
	2004
42		Jussi T. Lindgren, Aapo Hyvärinen: Learning High-level Independent Components of Images through a Spectral Representation. ICPR (2) 2004: 72-75
41		Aapo Hyvärinen, Jarmo Hurri: Blind separation of sources that have spatiotemporal variance dependencies. Signal Processing 84(2): 247-254 (2004)
	2003
40		Jarmo Hurri, Aapo Hyvärinen: Simple-Cell-Like Receptive Fields Maximize Temporal Coherence in Natural Video. Neural Computation 15(3): 663-691 (2003)
39		Aapo Hyvärinen, Ella Bingham: Connection between multilayer perceptrons and regression using independent component analysis. Neurocomputing 50: 211-222 (2003)
38		Jarmo Hurri, Aapo Hyvärinen: A two-layer temporal generative model of natural video exhibits complex-cell-like pooling of simple cell outputs. Neurocomputing 52-54: 553-559 (2003)
	2002
37		Jarmo Hurri, Aapo Hyvärinen: Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video. ICANN 2002: 33-38
36		Jarmo Hurri, Aapo Hyvärinen: Temporal Coherence, Natural Image Sequences, and the Visual Cortex. NIPS 2002: 141-148
35		Patrik O. Hoyer, Aapo Hyvärinen: Interpreting Neural Response Variability as Monte Carlo Sampling of the Posterior. NIPS 2002: 277-284
34		Aapo Hyvärinen, Mika Inki: Estimating Overcomplete Independent Component Bases for Image Windows. Journal of Mathematical Imaging and Vision 17(2): 139-152 (2002)
33		Aapo Hyvärinen: Realizations of quantum computing using optical manipulations of atoms. Natural Computing 1(2-3): 199-209 (2002)
32		Aapo Hyvärinen: An alternative approach to infomax and independent component analysis. Neurocomputing 44-46: 1089-1097 (2002)
31		Patrik O. Hoyer, Aapo Hyvärinen: Sparse coding of natural contours. Neurocomputing 44-46: 459-466 (2002)
30		Shun-ichi Amari, Aapo Hyvärinen, Soo-Young Lee, Te-Won Lee, V. David Sánchez A.: Blind signal separation and independent component analysis. Neurocomputing 49(1-4): 1-5 (2002)
29		Aapo Hyvärinen, Karthikesh Raju: Imposing sparsity on the mixing matrix in independent component analysis. Neurocomputing 49(1-4): 151-162 (2002)
	2001
28		Aapo Hyvärinen: Blind source separation by nonstationarity of variance: a cumulant-based approach. IEEE Transactions on Neural Networks 12(6): 1471-1474 (2001)
27		Aapo Hyvärinen: Complexity Pursuit: Separating Interesting Components from Time Series. Neural Computation 13(4): 883-898 (2001)
26		Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki: Topographic Independent Component Analysis. Neural Computation 13(7): 1527-1558 (2001)
25		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
24		Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki: Topographic ICA as a Model of Natural Image Statistics. Biologically Motivated Computer Vision 2000: 535-544
23		Ella Bingham, Aapo Hyvärinen: ICA of Complex Valued Signals: A Fast and Robust Deflationary Algorithm. IJCNN (3) 2000: 357-362
22		Patrik O. Hoyer, Aapo Hyvärinen: Feature Extraction from Color and Stereo Images Using ICA. IJCNN (3) 2000: 369-376
21		Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki: Topographic ICA as a Model of V1 Receptive Fields. IJCNN (4) 2000: 83-88
20		Ella Bingham, Aapo Hyvärinen: A Fast Fixed-Point Algorithm for Independent Component Analysis of Complex Valued Signals. Int. J. Neural Syst. 10(1): 1-8 (2000)
19		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)
18		Aapo Hyvärinen, Erkki Oja: Independent component analysis: algorithms and applications. Neural Networks 13(4-5): 411-430 (2000)
	1999
17		Aapo Hyvärinen, Timo Honkela: Emotional Disorders in Autonomous Agents? ECAL 1999: 350-354
16		Aapo Hyvärinen: Fast ICA for noisy data using Gaussian moments. ISCAS (5) 1999: 57-61
15		Aapo Hyvärinen, Patrik O. Hoyer: Emergence of Topography and Complex Cell Properties from Natural Images using Extensions of ICA. NIPS 1999: 827-833
14		Aapo Hyvärinen: Fast and robust fixed-point algorithms for independent component analysis. IEEE Transactions on Neural Networks 10(3): 626-634 (1999)
13		Aapo Hyvärinen: Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation. Neural Computation 11(7): 1739-1768 (1999)
12		Aapo Hyvärinen, Petteri Pajunen: Nonlinear independent component analysis: Existence and uniqueness results. Neural Networks 12(3): 429-439 (1999)
11		Aapo Hyvärinen: The Fixed-Point Algorithm and Maximum Likelihood Estimation for Independent Component Analysis. Neural Processing Letters 10(1): 1-5 (1999)
10		Erkki Oja, Aapo Hyvärinen, Patrik O. Hoyer: Image Feature Extraction and Denoising by Sparse Coding. Pattern Anal. Appl. 2(2): 104-110 (1999)
	1998
9		Aapo Hyvärinen, Patrik O. Hoyer, Erkki Oja: Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation. NIPS 1998: 473-479
8		Aapo Hyvärinen: Independent component analysis in the presence of Gaussian noise by maximizing joint likelihood. Neurocomputing 22(1-3): 49-67 (1998)
7		Aapo Hyvärinen, Erkki Oja: Independent component analysis by general nonlinear Hebbian-like learning rules. Signal Processing 64(3): 301-313 (1998)
	1997
6		Erkki Oja, Juha Karhunen, Aapo Hyvärinen: From Neural Principal Components to Neural Independent Components. ICANN 1997: 519-528
5		Aapo Hyvärinen: New Approximations of Differential Entropy for Independent Component Analysis and Projection Pursuit. NIPS 1997
4		Aapo Hyvärinen, Erkki Oja: A Fast Fixed-Point Algorithm for Independent Component Analysis. Neural Computation 9(7): 1483-1492 (1997)
	1996
3		Aapo Hyvärinen: Purely Logical Neural Principal Component and Independent Component Learning. ICANN 1996: 139-144
2		Aapo Hyvärinen, Erkki Oja: One-unit Learning Rules for Independent Component Analysis. NIPS 1996: 480-486
1		Aapo Hyvärinen, Erkki Oja: Simple Neuron Models for Independent Component Analysis. Int. J. Neural Syst. 7(6): 671-688 (1996)

Coauthor Index

1	V. David Sánchez A.	[30]
2	Kazuyuki Aihara	[64]
3	Shun-ichi Amari	[30]
4	Ella Bingham	[20] [23] [39]
5	Kenneth Bollen	[90]
6	Lai-Wan Chan (Laiwan Chan)	[74]
7	Michael Gutmann	[64] [71] [73] [75] [79] [84] [92] [94] [95] [98]
8	Junichiro Hirayama	[85] [91]
9	Timo Honkela	[17] [78]
10	Patrik O. Hoyer	[9] [10] [15] [19] [21] [22] [24] [25] [26] [31] [35] [45] [47] [48] [52] [53] [56] [62] [66] [67] [82] [90]
11	Jarmo Hurri	[36] [37] [38] [40] [41] [58] [63]
12	Seiya Imoto	[86] [88]
13	Takanori Inazumi	[90]
14	Mika Inki	[21] [24] [26] [34]
15	Shin Ishii	[85]
16	Yutaka Kano	[45] [48] [52] [53]
17	Juha Karhunen	[6]
18	Yoshinobu Kawahara	[69] [90]
19	Antti J. Kerminen	[47] [52] [53]
20	Urs Köster	[54] [60] [72] [73] [77]
21	Gustavo Lacerda	[62]
22	Valero Laparra	[92]
23	Soo-Young Lee	[30]
24	Te-Won Lee	[30]
25	Jussi T. Lindgren	[42] [49] [58] [63] [65] [72] [73]
26	Jesus Malo (Jesús Malo)	[92]
27	Erkki Oja	[1] [2] [4] [6] [7] [9] [10] [18]
28	Petteri Pajunen	[12]
29	Heng Peng	[74]
30	Jukka Perkiö	[50] [70]
31	Miika Pihlaja	[84] [98]
32	Jouni Puuronen	[93]
33	Karthikesh Raju	[29]
34	Joseph Ramsey	[62]
35	Richard Scheines	[62]
36	Teppei Shimamura	[86] [88]
37	Shohei Shimizu	[45] [47] [48] [51] [52] [53] [59] [62] [66] [67] [69] [82] [86] [88] [90]
38	Yasuhiro Sogawa	[86] [88] [90]
39	Peter Spirtes	[62]
40	Jaakko J. Väyrynen	[78]
41	M. Asuncion Vicente	[56]
42	Takashi Washio	[86] [88] [90]
43	Kun Zhang	[68] [74] [76] [80] [82] [83] [89] [96] [97]

Colors in the list of coauthors

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