Alexander Ilin
Alexander Ilin
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Practical approaches to principal component analysis in the presence of missing values
A Ilin, T Raiko
The Journal of Machine Learning Research 11, 1957-2000, 2010
Improved learning of Gaussian-Bernoulli restricted Boltzmann machines
KH Cho, A Ilin, T Raiko
International conference on artificial neural networks, 10-17, 2011
Gaussian-bernoulli deep boltzmann machine
KH Cho, T Raiko, A Ilin
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-7, 2013
Parallel tempering is efficient for learning restricted Boltzmann machines
KH Cho, T Raiko, A Ilin
The 2010 international joint conference on neural networks (ijcnn), 1-8, 2010
Principal component analysis for large scale problems with lots of missing values
T Raiko, A Ilin, J Karhunen
European Conference on Machine Learning, 691-698, 2007
Enhanced gradient and adaptive learning rate for training restricted Boltzmann machines
KH Cho, T Raiko, A Ilin
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
Enhanced gradient for training restricted Boltzmann machines
KH Cho, T Raiko, A Ilin
Neural computation 25 (3), 805-831, 2013
Estimation of ECHAM5 climate model closure parameters with adaptive MCMC
H Järvinen, P Räisänen, M Laine, J Tamminen, A Ilin, E Oja, A Solonen, ...
Atmospheric Chemistry and Physics 10 (20), 9993-10002, 2010
Variational Gaussian-process factor analysis for modeling spatio-temporal data
J Luttinen, A Ilin
Advances in neural information processing systems, 1177-1185, 2009
Nonlinear blind source separation by variational Bayesian learning
H Valpola, E Oja, A Ilin, A Honkela, J Karhunen
IEICE Transactions on Fundamentals of Electronics, Communications and …, 2003
On the effect of the form of the posterior approximation in variational learning of ICA models
A Ilin, H Valpola
Neural Processing Letters 22 (2), 183-204, 2005
Blind separation of nonlinear mixtures by variational Bayesian learning
A Honkela, H Valpola, A Ilin, J Karhunen
Digital Signal Processing 17 (5), 914-934, 2007
On closure parameter estimation in chaotic systems
J Hakkarainen, A Ilin, A Solonen, M Laine, H Haario, J Tamminen, E Oja, ...
Nonlinear processes in Geophysics 19 (1), 127-143, 2012
Nonlinear dynamical factor analysis for state change detection
A Ilin, H Valpola, E Oja
IEEE transactions on neural networks 15 (3), 559-575, 2004
Recurrent ladder networks
I Prémont-Schwarz, A Ilin, TH Hao, A Rasmus, R Boney, H Valpola
arXiv preprint arXiv:1707.09219, 2017
Transformations in variational Bayesian factor analysis to speed up learning
J Luttinen, A Ilin
Neurocomputing 73 (7-9), 1093-1102, 2010
Principal component analysis for sparse high-dimensional data
T Raiko, A Ilin, J Karhunen
International Conference on Neural Information Processing, 566-575, 2007
Efficient Gaussian process inference for short-scale spatio-temporal modeling
J Luttinen, A Ilin
Artificial Intelligence and Statistics, 741-750, 2012
Binary principal component analysis in the Netflix collaborative filtering task
L Kozma, A Ilin, T Raiko
2009 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2009
Methodology for behavioral-based malware analysis and detection using random projections and k-nearest neighbors classifiers
J Hegedus, Y Miche, A Ilin, A Lendasse
2011 seventh international conference on computational intelligence and …, 2011
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