Harri Valpola

Publication Activity (10 Years)

Years Active: 2001-2019
Publications (10 Years): 15

Top Topics

Linear Transformation

Supervised Learning

Top Venues

ICLR (Workshop)

Publications

Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola
Regularizing Trajectory Optimization with Denoising Autoencoders. NeurIPS (2019)
Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola
Regularizing Trajectory Optimization with Denoising Autoencoders. CoRR (2019)
Norman Di Palo, Harri Valpola
Improving Model-Based Control and Active Exploration with Reconstruction Uncertainty Optimization. CoRR (2018)
Antti Tarvainen, Harri Valpola
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results. NIPS (2017)
Antti Tarvainen, Harri Valpola
Weight-averaged consistency targets improve semi-supervised deep learning results. CoRR (2017)
Antti Tarvainen, Harri Valpola
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results. ICLR (Workshop) (2017)
Alexander Ilin, Isabeau Prémont-Schwarz, Tele Hotloo Hao, Antti Rasmus, Rinu Boney, Harri Valpola
Recurrent Ladder Networks. CoRR (2017)
Isabeau Prémont-Schwarz, Alexander Ilin, Tele Hao, Antti Rasmus, Rinu Boney, Harri Valpola
Recurrent Ladder Networks. NIPS (2017)
Heikki Arponen, Matti Herranen, Harri Valpola
On the exact relationship between the denoising function and the data distribution. CoRR (2017)
Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hotloo Hao, Harri Valpola, Jürgen Schmidhuber
Tagger: Deep Unsupervised Perceptual Grouping. NIPS (2016)
Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hotloo Hao, Jürgen Schmidhuber, Harri Valpola
Tagger: Deep Unsupervised Perceptual Grouping. CoRR (2016)
Antti Rasmus, Mathias Berglund, Mikko Honkala, Harri Valpola, Tapani Raiko
Semi-supervised Learning with Ladder Networks. NIPS (2015)
Antti Rasmus, Harri Valpola, Tapani Raiko
Lateral Connections in Denoising Autoencoders Support Supervised Learning. CoRR (2015)
Antti Rasmus, Harri Valpola, Mikko Honkala, Mathias Berglund, Tapani Raiko
Semi-Supervised Learning with Ladder Network. CoRR (2015)
Antti Rasmus, Tapani Raiko, Harri Valpola
Denoising autoencoder with modulated lateral connections learns invariant representations of natural images. ICLR (Workshop) (2015)
Harri Valpola
From neural PCA to deep unsupervised learning. CoRR (2014)
Tommi Vatanen, Tapani Raiko, Harri Valpola, Yann LeCun
Pushing Stochastic Gradient towards Second-Order Methods - Backpropagation Learning with Transformations in Nonlinearities. ICONIP (1) (2013)
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)
Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework CoRR (2012)
Tapani Raiko, Harri Valpola, Yann LeCun
Deep Learning Made Easier by Linear Transformations in Perceptrons. AISTATS (2012)
Antti Yli-Krekola, Jaakko Särelä, Harri Valpola
Selective Attention Improves Learning. ICANN (2) (2009)
Tapani Raiko, Harri Valpola, Markus Harva, Juha Karhunen
Building Blocks for Variational Bayesian Learning of Latent Variable Models. J. Mach. Learn. Res. 8 (2007)
Antti Honkela, Harri Valpola, Alexander Ilin, Juha Karhunen
Blind separation of nonlinear mixtures by variational Bayesian learning. Digit. Signal Process. 17 (5) (2007)
Esa Alhoniemi, Antti Honkela, Krista Lagus, Santeri Jeremias Seppä, Paul Wagner, Harri Valpola
Compact Modeling of Data Using Independent Variable Group Analysis. IEEE Trans. Neural Networks 18 (6) (2007)
Alexander Ilin, Harri Valpola, Erkki Oja
Extraction of Components with Structured Variance. IJCNN (2006)
Alexander Ilin, Harri Valpola, Erkki Oja
Exploratory analysis of climate data using source separation methods. Neural Networks 19 (2) (2006)
Mariana S. C. Almeida, Harri Valpola, Jaakko Särelä
Separation of Nonlinear Image Mixtures by Denoising Source Separation. ICA (2006)
Alexander Ilin, Harri Valpola
Frequency-Based Separation of Climate Signals. PKDD (2005)
Harri Valpola
Development of Representations, Categories and Concepts - a Hypothesis. CIRA (2005)
Alexander Ilin, Harri Valpola
On the Effect of the Form of the Posterior Approximation in Variational Learning of ICA Models. Neural Process. Lett. 22 (2) (2005)
Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework. UAI (2005)
Jaakko Särelä, Harri Valpola
Denoising Source Separation. J. Mach. Learn. Res. 6 (2005)
Harri Valpola, Jaakko Särelä
Accurate, Fast and Stable Denoising Source Separation Algorithms. ICA (2004)
Harri Valpola, Markus Harva, Juha Karhunen
Hierarchical models of variance sources. Signal Process. 84 (2) (2004)
Antti Honkela, Harri Valpola
Unsupervised Variational Bayesian Learning of Nonlinear Models. NIPS (2004)
Antti Honkela, Harri Valpola
Variational learning and bits-back coding: an information-theoretic view to Bayesian learning. IEEE Trans. Neural Networks 15 (4) (2004)
Alexander Ilin, Harri Valpola, Erkki Oja
Nonlinear dynamical factor analysis for state change detection. IEEE Trans. Neural Networks 15 (3) (2004)
Antti Honkela, Stefan Harmeling, Leo Lundqvist, Harri Valpola
Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method. ICA (2004)
Antti Honkela, Harri Valpola, Juha Karhunen
Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches. Neural Process. Lett. 17 (2) (2003)
Maria Funaro, Erkki Oja, Harri Valpola
Independent component analysis for artefact separation in astrophysical images. Neural Networks 16 (3-4) (2003)
Harri Valpola, Erkki Oja, Alexander Ilin, Antti Honkela, Juha Karhunen
Nonlinear Blind Source Separation by Variational Bayesian Learning. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (3) (2003)
Harri Valpola, Juha Karhunen
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models. Neural Comput. 14 (11) (2002)
Krista Lagus, Esa Alhoniemi, Harri Valpola
Independent Variable Group Analysis. ICANN (2001)