dblp.uni-trier.dewww.uni-trier.de

Aapo Hyvärinen

List of publications from the DBLP Bibliography Server - FAQ
Coauthor Index - Ask others: ACM DL/Guide - CiteSeer - CSB - Google - MSN - Yahoo

2009
66EEKun Zhang, Heng Peng, Laiwan Chan, Aapo Hyvärinen: ICA with Sparse Connections: Revisited. ICA 2009: 195-202
65EEUrs Köster, Jussi T. Lindgren, Michael Gutmann, Aapo Hyvärinen: Learning Natural Image Structure with a Horizontal Product Model. ICA 2009: 507-514
64EEUrs Köster, Jussi T. Lindgren, Aapo Hyvärinen: Estimating Markov Random Field Potentials for Natural Images. ICA 2009: 515-522
63EEShohei Shimizu, Patrik O. Hoyer, Aapo Hyvärinen: Estimation of linear non-Gaussian acyclic models for latent factors. Neurocomputing 72(7-9): 2024-2027 (2009)
2008
62EEAapo Hyvärinen, Shohei Shimizu, Patrik O. Hoyer: Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity. ICML 2008: 424-431
61EEJussi T. Lindgren, Aapo Hyvärinen: On the learning of nonlinear visual features from natural images by optimizing response energies. IJCNN 2008: 1026-1033
60EEMichael Gutmann, Aapo Hyvärinen, Kazuyuki Aihara: Learning encoding and decoding filters for data representation with a spiking neuron. IJCNN 2008: 243-248
59EEJussi T. Lindgren, Jarmo Hurri, Aapo Hyvärinen: Unsupervised learning of dependencies between local luminance and contrast in natural images. IJCNN 2008: 356-362
58EEPatrik 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
2007
57EEUrs Köster, Aapo Hyvärinen: A Two-Layer ICA-Like Model Estimated by Score Matching. ICANN (2) 2007: 798-807
56EEShohei Shimizu, Aapo Hyvärinen: Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes. ICONIP (1) 2007: 752-761
55EEJussi T. Lindgren, Jarmo Hurri, Aapo Hyvärinen: The Statistical Properties of Local Log-Contrast in Natural Images. SCIA 2007: 354-363
54EEAapo Hyvärinen: Some extensions of score matching. Computational Statistics & Data Analysis 51(5): 2499-2512 (2007)
53EEM. 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)
52EEAapo Hyvärinen: Connections Between Score Matching, Contrastive Divergence, and Pseudolikelihood for Continuous-Valued Variables. IEEE Transactions on Neural Networks 18(5): 1529-1531 (2007)
2006
51EEAapo Hyvärinen, Urs Köster: FastISA: A fast fixed-point algorithm for independent subspace analysis. ESANN 2006: 371-376
50EEPatrik O. Hoyer, Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Antti J. Kerminen: New Permutation Algorithms for Causal Discovery Using ICA. ICA 2006: 115-122
49EEShohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer, Antti J. Kerminen: Testing Significance of Mixing and Demixing Coefficients in ICA. ICA 2006: 901-908
48EEAapo Hyvärinen, Shohei Shimizu: A Quasi-stochastic Gradient Algorithm for Variance-Dependent Component Analysis. ICANN (2) 2006: 211-220
47EEAapo Hyvärinen, Jukka Perkio: Learning to Segment Any Random Vector. IJCNN 2006: 4167-4172
46EEJussi T. Lindgren, Aapo Hyvärinen: Emergence of conjunctive visual features by quadratic independent component analysis. NIPS 2006: 897-904
45EEShohei 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)
44EEShohei 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)
43EEAapo Hyvärinen: Consistency of Pseudolikelihood Estimation of Fully Visible Boltzmann Machines. Neural Computation 18(10): 2283-2292 (2006)
2005
42EEShohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer: Discovery of Non-gaussian Linear Causal Models using ICA. UAI 2005: 525-533
41EEAapo Hyvärinen: Estimation of Non-Normalized Statistical Models by Score Matching. Journal of Machine Learning Research 6: 695-709 (2005)
40EEAapo Hyvärinen: A unifying model for blind separation of independent sources. Signal Processing 85(7): 1419-1427 (2005)
2004
39EEJussi T. Lindgren, Aapo Hyvärinen: Learning High-level Independent Components of Images through a Spectral Representation. ICPR (2) 2004: 72-75
38EEAapo Hyvärinen, Jarmo Hurri: Blind separation of sources that have spatiotemporal variance dependencies. Signal Processing 84(2): 247-254 (2004)
2003
37EEJarmo Hurri, Aapo Hyvärinen: Simple-Cell-Like Receptive Fields Maximize Temporal Coherence in Natural Video. Neural Computation 15(3): 663-691 (2003)
36EEAapo Hyvärinen, Ella Bingham: Connection between multilayer perceptrons and regression using independent component analysis. Neurocomputing 50: 211-222 (2003)
35EEJarmo 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
34EEJarmo Hurri, Aapo Hyvärinen: Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video. ICANN 2002: 33-38
33EEJarmo Hurri, Aapo Hyvärinen: Temporal Coherence, Natural Image Sequences, and the Visual Cortex. NIPS 2002: 141-148
32EEPatrik O. Hoyer, Aapo Hyvärinen: Interpreting Neural Response Variability as Monte Carlo Sampling of the Posterior. NIPS 2002: 277-284
31 Aapo Hyvärinen: Realizations of quantum computing using optical manipulations of atoms. Natural Computing 1(2-3): 199-209 (2002)
30EEAapo Hyvärinen: An alternative approach to infomax and independent component analysis. Neurocomputing 44-46: 1089-1097 (2002)
29EEPatrik O. Hoyer, Aapo Hyvärinen: Sparse coding of natural contours. Neurocomputing 44-46: 459-466 (2002)
28EEShun-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)
27EEAapo Hyvärinen, Karthikesh Raju: Imposing sparsity on the mixing matrix in independent component analysis. Neurocomputing 49(1-4): 151-162 (2002)
2001
26 Aapo Hyvärinen: Complexity Pursuit: Separating Interesting Components from Time Series. Neural Computation 13(4): 883-898 (2001)
25 Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki: Topographic Independent Component Analysis. Neural Computation 13(7): 1527-1558 (2001)
24EEAapo Hyvärinen, Patrik O. Hoyer: Topographic independent component analysis as a model of V1 organization and receptive fields. Neurocomputing 38-40: 1307-1315 (2001)
2000
23EEAapo Hyvärinen, Patrik O. Hoyer, Mika Inki: Topographic ICA as a Model of Natural Image Statistics. Biologically Motivated Computer Vision 2000: 535-544
22EEElla Bingham, Aapo Hyvärinen: ICA of Complex Valued Signals: A Fast and Robust Deflationary Algorithm. IJCNN (3) 2000: 357-362
21EEPatrik O. Hoyer, Aapo Hyvärinen: Feature Extraction from Color and Stereo Images Using ICA. IJCNN (3) 2000: 369-376
20EEAapo Hyvärinen, Patrik O. Hoyer, Mika Inki: Topographic ICA as a Model of V1 Receptive Fields. IJCNN (4) 2000: 83-88
19EEElla 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)
18 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)
17EEAapo Hyvärinen, Erkki Oja: Independent component analysis: algorithms and applications. Neural Networks 13(4-5): 411-430 (2000)
1999
16 Aapo Hyvärinen, Timo Honkela: Emotional Disorders in Autonomous Agents? ECAL 1999: 350-354
15EEAapo Hyvärinen: Fast ICA for noisy data using Gaussian moments. ISCAS (5) 1999: 57-61
14EEAapo Hyvärinen, Patrik O. Hoyer: Emergence of Topography and Complex Cell Properties from Natural Images using Extensions of ICA. NIPS 1999: 827-833
13EEAapo Hyvärinen: Fast and robust fixed-point algorithms for independent component analysis. IEEE Transactions on Neural Networks 10(3): 626-634 (1999)
12 Aapo Hyvärinen: Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation. Neural Computation 11(7): 1739-1768 (1999)
11EEAapo Hyvärinen, Petteri Pajunen: Nonlinear independent component analysis: Existence and uniqueness results. Neural Networks 12(3): 429-439 (1999)
10 Aapo Hyvärinen: The Fixed-Point Algorithm and Maximum Likelihood Estimation for Independent Component Analysis. Neural Processing Letters 10(1): 1-5 (1999)
9EEErkki Oja, Aapo Hyvärinen, Patrik O. Hoyer: Image Feature Extraction and Denoising by Sparse Coding. Pattern Anal. Appl. 2(2): 104-110 (1999)
1998
8EEAapo Hyvärinen, Patrik O. Hoyer, Erkki Oja: Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation. NIPS 1998: 473-479
7EEAapo Hyvärinen: Independent component analysis in the presence of Gaussian noise by maximizing joint likelihood. Neurocomputing 22(1-3): 49-67 (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
4EEAapo 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
2EEAapo Hyvärinen, Erkki Oja: One-unit Learning Rules for Independent Component Analysis. NIPS 1996: 480-486
1EEAapo Hyvärinen, Erkki Oja: Simple Neuron Models for Independent Component Analysis. Int. J. Neural Syst. 7(6): 671-688 (1996)

Coauthor Index

1V. David Sánchez A. [28]
2Kazuyuki Aihara [60]
3Shun-ichi Amari [28]
4Ella Bingham [19] [22] [36]
5Lai-Wan Chan (Laiwan Chan) [66]
6Michael Gutmann [60] [65]
7Timo Honkela [16]
8Patrik O. Hoyer [8] [9] [14] [18] [20] [21] [23] [24] [25] [29] [32] [42] [44] [45] [49] [50] [53] [58] [62] [63]
9Jarmo Hurri [33] [34] [35] [37] [38] [55] [59]
10Mika Inki [20] [23] [25]
11Yutaka Kano [42] [45] [49] [50]
12Juha Karhunen [6]
13Antti J. Kerminen [44] [49] [50]
14Urs Köster [51] [57] [64] [65]
15Gustavo Lacerda [58]
16Soo-Young Lee [28]
17Te-Won Lee [28]
18Jussi T. Lindgren [39] [46] [55] [59] [61] [64] [65]
19Erkki Oja [1] [2] [4] [6] [8] [9] [17]
20Petteri Pajunen [11]
21Heng Peng [66]
22Jukka Perkio [47]
23Karthikesh Raju [27]
24Joseph Ramsey [58]
25Richard Scheines [58]
26Shohei Shimizu [42] [44] [45] [48] [49] [50] [56] [58] [62] [63]
27Peter Spirtes [58]
28M. Asuncion Vicente [53]
29Kun Zhang [66]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)