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Regularizing Trajectory Optimization with Denoising Autoencoders

Mar 28, 2019
Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola

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Tagger: Deep Unsupervised Perceptual Grouping

Nov 28, 2016
Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hotloo Hao, Jürgen Schmidhuber, Harri Valpola

* 14 pages + 5 pages supplementary, accepted at NIPS 2016 

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Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters

Jun 17, 2016
Jelena Luketina, Mathias Berglund, Klaus Greff, Tapani Raiko

* 9 pages, 7 figures. Accepted at ICML 2016 

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Semi-Supervised Learning with Ladder Networks

Nov 24, 2015
Antti Rasmus, Harri Valpola, Mikko Honkala, Mathias Berglund, Tapani Raiko

* Revised denoising function, updated results, fixed typos 

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Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series

Nov 02, 2015
Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek, Juha Karhunen

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Techniques for Learning Binary Stochastic Feedforward Neural Networks

Apr 09, 2015
Tapani Raiko, Mathias Berglund, Guillaume Alain, Laurent Dinh

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Stochastic Gradient Estimate Variance in Contrastive Divergence and Persistent Contrastive Divergence

Feb 14, 2014
Mathias Berglund, Tapani Raiko

* ICLR2014 Workshop Track submission. Rephrased parts of text. Results unchanged 

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