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Harri Valpola
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Publications
- 2015
- [c15]Antti Rasmus, Mathias Berglund, Mikko Honkala, Harri Valpola, Tapani Raiko:
Semi-supervised Learning with Ladder Networks. NIPS 2015: 3546-3554 - [c14]Antti Rasmus, Tapani Raiko, Harri Valpola:
Denoising autoencoder with modulated lateral connections learns invariant representations of natural images. ICLR (Workshop) 2015 - [i4]Antti Rasmus, Harri Valpola, Tapani Raiko:
Lateral Connections in Denoising Autoencoders Support Supervised Learning. CoRR abs/1504.08215 (2015) - [i3]Antti Rasmus, Harri Valpola, Mikko Honkala, Mathias Berglund, Tapani Raiko:
Semi-Supervised Learning with Ladder Network. CoRR abs/1507.02672 (2015) - 2013
- [c13]Tommi Vatanen, Tapani Raiko, Harri Valpola, Yann LeCun:
Pushing Stochastic Gradient towards Second-Order Methods - Backpropagation Learning with Transformations in Nonlinearities. ICONIP (1) 2013: 442-449 - [c12]Tommi Vatanen, Tapani Raiko, Harri Valpola, Yann LeCun:
Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities. ICLR (Workshop Poster) 2013 - 2012
- [c11]Tapani Raiko, Harri Valpola, Yann LeCun:
Deep Learning Made Easier by Linear Transformations in Perceptrons. AISTATS 2012: 924-932 - [i1]Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen:
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework. CoRR abs/1207.1380 (2012) - 2007
- [j12]Tapani Raiko, Harri Valpola, Markus Harva, Juha Karhunen:
Building Blocks for Variational Bayesian Learning of Latent Variable Models. J. Mach. Learn. Res. 8: 155-201 (2007) - 2005
- [c5]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
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