2008 |
12 | EE | Pei Gao,
Antti Honkela,
Magnus Rattray,
Neil D. Lawrence:
Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities.
ECCB 2008: 70-75 |
11 | EE | Antti Honkela,
Jeremias Seppä,
Esa Alhoniemi:
Agglomerative independent variable group analysis.
Neurocomputing 71(7-9): 1311-1320 (2008) |
2007 |
10 | EE | Antti Honkela,
Jeremias Seppä,
Esa Alhoniemi:
Agglomerative Independent Variable Group Analysis.
ESANN 2007: 55-60 |
9 | EE | Antti Honkela,
Matti Tornio,
Tapani Raiko,
Juha Karhunen:
Natural Conjugate Gradient in Variational Inference.
ICONIP (2) 2007: 305-314 |
8 | EE | Esa Alhoniemi,
Antti Honkela,
Krista Lagus,
Santeri Jeremias Seppä,
Paul Wagner,
Harri Valpola:
Compact Modeling of Data Using Independent Variable Group Analysis.
IEEE Transactions on Neural Networks 18(6): 1762-1776 (2007) |
2006 |
7 | EE | Tapani Raiko,
Matti Tornio,
Antti Honkela,
Juha Karhunen:
State Inference in Variational Bayesian Nonlinear State-Space Models.
ICA 2006: 222-229 |
2005 |
6 | EE | Antti Honkela,
Tomas Östman,
Ricardo Vigário:
Empirical evidence of the linear nature of magnetoencephalograms.
ESANN 2005: 285-290 |
5 | EE | Markus Harva,
Tapani Raiko,
Antti Honkela,
Harri Valpola,
Juha Karhunen:
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework.
UAI 2005: 259-266 |
2004 |
4 | EE | Alexander Ilin,
Antti Honkela:
Post-nonlinear Independent Component Analysis by Variational Bayesian Learning.
ICA 2004: 766-773 |
3 | EE | Antti Honkela,
Stefan Harmeling,
Leo Lundqvist,
Harri Valpola:
Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method.
ICA 2004: 790-797 |
2 | EE | Antti Honkela,
Harri Valpola:
Unsupervised Variational Bayesian Learning of Nonlinear Models.
NIPS 2004 |
2003 |
1 | | Antti Honkela,
Harri Valpola,
Juha Karhunen:
Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches.
Neural Processing Letters 17(2): 191-203 (2003) |