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All publications by Tapani Raiko
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Semi-supervised Learning with Ladder Networks
Antti Rasmus, Mathias Berglund, Mikko Honkala, Harri Valpola and Tapani Raiko
Advances in Neural Information Processing Systems 28, 2015


Bidirectional Recurrent Neural Networks as Generative Models
Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek and Juha T. Karhunen
Advances in Neural Information Processing Systems 28, 2015


Iterative Neural Autoregressive Distribution Estimator NADE-k
Tapani Raiko, Yao Li, Kyunghyun Cho and Yoshua Bengio
Advances in Neural Information Processing Systems 27, 2014


Deep Learning Made Easier by Linear Transformations in Perceptrons
Tapani Raiko, Harri Valpola and Yann Lecun
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines
Kyunghyun Cho, Tapani Raiko and Alexander T. Ihler
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Building Blocks for Variational Bayesian Learning of Latent Variable Models
Tapani Raiko, Harri Valpola, Markus Harva and Juha Karhunen
Journal of Machine Learning Research, 2007