Harri Valpola

Juha Karhunen, Antti Honkela, Harri Valpola, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Frequency-Based Separation of Climate Signals

Alexander Ilin, Harri Valpola, A. Ilin, 2005, PKDD.

Exploratory analysis of climate data using source separation methods

Erkki Oja, Alexander Ilin, Harri Valpola, 2006, Neural Networks.

Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches

Juha Karhunen, Antti Honkela, Harri Valpola, 2003, Neural Processing Letters.

Development ofRepresentations, Categories and Concepts aHypothesis

Harri Valpola, H. Valpola, 2005 .

The NIPS workshop on Deep Learning and Unsupervised Feature Learning

Tapani Raiko, Harri Valpola, Yann LeCun, 2011 .

Missing Values in Hierarchical Nonlinear Factor Analysis

Juha Karhunen, Tapani Raiko, Harri Valpola, 2003 .

Final Technical Report on BSS Models and Methods for Non-Independent BSS

Juha Karhunen, Harri Valpola, F. Meinecke, 2003 .

Behaviourally meaningful representations from normalisation and context-guided denoising

Harri Valpola, H. Valpola, 2004 .

Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method

Antti Honkela, Harri Valpola, Stefan Harmeling, 2004 .

Independent component analysis for artefact separation in astrophysical images

Erkki Oja, Harri Valpola, Maria Funaro, 2003, Neural Networks.

Nonlinear independent component analysis using ensemble learning: Theory

Harri Valpola, 2000 .

Weight-averaged consistency targets improve semi-supervised deep learning results

Harri Valpola, Antti Tarvainen, Antti Tarvainen, 2017, ArXiv.

Semi-supervised Learning with Ladder Networks

Tapani Raiko, Harri Valpola, Mikko Honkala, 2015, NIPS.

Separation of Nonlinear Image Mixtures by Denoising Source Separation

Harri Valpola, Mariana S. C. Almeida, Jaakko Särelä, 2006, ICA.

Regularizing Trajectory Optimization with Denoising Autoencoders

Alexander Ilin, Harri Valpola, Juho Kannala, 2019, NeurIPS.

Variational learning and bits-back coding: an information-theoretic view to Bayesian learning

Antti Honkela, Harri Valpola, H. Valpola, 2004, IEEE Transactions on Neural Networks.

Compact Modeling of Data Using Independent Variable Group Analysis

Antti Honkela, Harri Valpola, Paul Wagner, 2007, IEEE Transactions on Neural Networks.

DETECTING PROCESS STATE CHANGES BY NONLINEAR BLIND SOURCE SEPARATION

Erkki Oja, Harri Valpola, Alexandre Iline, 2003 .

Semi-supervised Learning with Ladder Networks pdf

Tapani Raiko, Harri Valpola, Mikko Honkala, 2015, NIPS.

Hierarchical models of variance sources

Juha Karhunen, Markus Harva, Harri Valpola, 2004, Signal Process..

Independent Variable Group Analysis

Harri Valpola, Esa Alhoniemi, Krista Lagus, 2001, ICANN.

Neural Information Processing (ICONIP 2013)

Tapani Raiko, Harri Valpola, Yann LeCun, 2013 .

On the Effect of the Form of the Posterior Approximation in Variational Learning of ICA Models

Alexander Ilin, Harri Valpola, A. Ilin, 2005, Neural Processing Letters.

A method for invalidating the sensor measurements after picking robot tool system

Harri Valpola, Tuomas J. Lukka, Tuomas Lukka, 2011 .

Tagger: Deep Unsupervised Perceptual Grouping

Harri Valpola, Jürgen Schmidhuber, Klaus Greff, 2016, NIPS.

Accurate, Fast and Stable Denoising Source Separation Algorithms

Harri Valpola, Jaakko Särelä, 2004, ICA.

Denoising autoencoder with modulated lateral connections learns invariant representations of natural images pdf

Tapani Raiko, Harri Valpola, Antti Rasmus, 2015, ICLR.

An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models

Juha Karhunen, Harri Valpola, J. Karhunen, 2002, Neural Computation.

Bayes Blocks Software Library

Antti Honkela, Tapani Raiko, Markus Harva, 2003 .

On-line Variational Bayesian Learning

Antti Honkela, Harri Valpola, H. Valpola, 2003 .

DYNAMICAL FACTOR ANALYSIS OF RHYTHMIC MAGNETOENCEPHALOGRAPHIC ACTIVITY

Erkki Oja, Harri Valpola, Ricardo Vigário, 2001 .

Recurrent Ladder Networks

Alexander Ilin, Harri Valpola, Rinu Boney, 2017, NIPS.

From neural PCA to deep unsupervised learning pdf

Harri Valpola, H. Valpola, 2014, ArXiv.

Lateral Connections in Denoising Autoencoders Support Supervised Learning pdf

Tapani Raiko, Harri Valpola, Antti Rasmus, 2015, ArXiv.

Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities

Tapani Raiko, Harri Valpola, Yann LeCun, 2013, ICLR.

A method of selecting blocks of physical robot system

Harri Valpola, Tuomas Lukka, 2010 .

Nonlinear dynamical factor analysis for state change detection

Erkki Oja, Alexander Ilin, Harri Valpola, 2004, IEEE Transactions on Neural Networks.

ARTEFACT DETECTION IN ASTROPHYSICAL IMAGE DATA USING INDEPENDENT COMPONENT ANALYSIS

Erkki Oja, Harri Valpola, Maria Funaro, 2001 .

Auroral monitoring network : from all-sky camera system to automated image analysis

Harri Valpola, .

Learning Semantics of Movement

Jorma Laaksonen, Harri Valpola, Timo Honkela, 2011 .