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
Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 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
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
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 for training restricted Boltzmann machines
KH Cho, T Raiko, A Ilin
Neural computation 25 (3), 805-831, 2013
Variational Gaussian-process factor analysis for modeling spatio-temporal data
J Luttinen, A Ilin
Advances in neural information processing systems, 1177-1185, 2009
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
Recurrent ladder networks
I Prémont-Schwarz, A Ilin, T Hao, A Rasmus, R Boney, H Valpola
Advances in neural information processing systems 30, 2017
Regularizing model-based planning with energy-based models
R Boney, J Kannala, A Ilin
Conference on Robot Learning, 182-191, 2020
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
Bayesian robust PCA of incomplete data
J Luttinen, A Ilin, J Karhunen
Neural processing letters 36, 189-202, 2012
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, 183-204, 2005
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
Principal component analysis for sparse high-dimensional data
T Raiko, A Ilin, J Karhunen
International Conference on Neural Information Processing, 566-575, 2007
Estimating model error covariance matrix parameters in extended Kalman filtering
A Solonen, J Hakkarainen, A Ilin, M Abbas, A Bibov
Nonlinear Processes in Geophysics 21 (5), 919-927, 2014
Efficient Gaussian process inference for short-scale spatio-temporal modeling
J Luttinen, A Ilin
Artificial Intelligence and Statistics, 741-750, 2012
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
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