Harri Valpola

According to our database1, Harri Valpola authored at least 38 papers between 2001 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2017
On the exact relationship between the denoising function and the data distribution.
CoRR, 2017

Weight-averaged consistency targets improve semi-supervised deep learning results.
CoRR, 2017

Recurrent Ladder Networks.
CoRR, 2017

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Recurrent Ladder Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Tagger: Deep Unsupervised Perceptual Grouping.
CoRR, 2016

Tagger: Deep Unsupervised Perceptual Grouping.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Lateral Connections in Denoising Autoencoders Support Supervised Learning.
CoRR, 2015

Semi-Supervised Learning with Ladder Network.
CoRR, 2015

Semi-supervised Learning with Ladder Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
From neural PCA to deep unsupervised learning.
CoRR, 2014

Denoising autoencoder with modulated lateral connections learns invariant representations of natural images.
CoRR, 2014

2013
Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities
CoRR, 2013

Pushing Stochastic Gradient towards Second-Order Methods - Backpropagation Learning with Transformations in Nonlinearities.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012
Deep Learning Made Easier by Linear Transformations in Perceptrons.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework
CoRR, 2012

2009
Selective Attention Improves Learning.
Proceedings of the Artificial Neural Networks, 2009

2007
Compact Modeling of Data Using Independent Variable Group Analysis.
IEEE Trans. Neural Networks, 2007

Building Blocks for Variational Bayesian Learning of Latent Variable Models.
Journal of Machine Learning Research, 2007

Blind separation of nonlinear mixtures by variational Bayesian learning.
Digital Signal Processing, 2007

2006
Exploratory analysis of climate data using source separation methods.
Neural Networks, 2006

Extraction of Components with Structured Variance.
Proceedings of the International Joint Conference on Neural Networks, 2006

Separation of Nonlinear Image Mixtures by Denoising Source Separation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
On the Effect of the Form of the Posterior Approximation in Variational Learning of ICA Models.
Neural Processing Letters, 2005

Denoising Source Separation.
Journal of Machine Learning Research, 2005

Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework.
Proceedings of the UAI '05, 2005

Frequency-Based Separation of Climate Signals.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Development of Representations, Categories and Concepts - a Hypothesis.
Proceedings of the CIRA 2005, 2005

2004
Nonlinear dynamical factor analysis for state change detection.
IEEE Trans. Neural Networks, 2004

Variational learning and bits-back coding: an information-theoretic view to Bayesian learning.
IEEE Trans. Neural Networks, 2004

Hierarchical models of variance sources.
Signal Processing, 2004

Unsupervised Variational Bayesian Learning of Nonlinear Models.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Accurate, Fast and Stable Denoising Source Separation Algorithms.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches.
Neural Processing Letters, 2003

Independent component analysis for artefact separation in astrophysical images.
Neural Networks, 2003

2002
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models.
Neural Computation, 2002

2001
Independent Variable Group Analysis.
Proceedings of the Artificial Neural Networks, 2001


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