Publications by topic 
Unsupervised learning: misc.
B. Sriperumbudur, K. Fukumizu, A. Gretton, A. Hyvärinen, R. Kumar.
Density Estimation in Infinite Dimensional Exponential Families. J. of Machine Learning Research, 18(57):159, 2017.
H. Sasaki, M. Sugiyama, and A. Hyvärinen.
Clustering via Mode Seeking by Direct Estimation of the Gradient of a LogDensity.
Proc. European Conf. on Machine Learning (ECML2014), Nancy, France, 2014.
M. Gutmann and A. Hyvärinen. Learning reconstruction and prediction of natural stimuli by a population of spiking neurons
Proc. European Symposium on Artificial Neural Networks (ESANN2009), Bruges, Belgium, 2009.
M. Gutmann, A. Hyvärinen, and K. Aihara. Learning encoding and decoding filters for data representation with
a spiking neuron
Proc. Int. Joint Conf. on Neural Networks (IJCNN2008), Hong Kong, 2008.
A. Hyvärinen. Behavioural priors: Learning to search efficiently in action planning. Proc. European Conference on Cognitive Science (EuroCogSci07), Delphi, Greece, pp. 324328, 2007.
M.A. Vicente, P.O. Hoyer and A. Hyvärinen.
Equivalence of some common linear feature extraction techniques for appearencebased object recognition tasks.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(5):896900, 2007.
A. Hyvärinen and J. Perkiö.
Learning to segment any random vector.
Proc. Int. Joint Conf. on Neural Networks (IJCNN2006), pp. 41674172, Vancouver, Canada, 2006.
A. Hyvärinen.
Consistency of pseudolikelihood estimation of fully visible Boltzmann machines.
Neural Computation, 18(10):22832292, 2006.
