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A Character-Word Compositional Neural Language Model for Finnish

Dec 10, 2016
Matti Lankinen, Hannes Heikinheimo, Pyry Takala, Tapani Raiko, Juha Karhunen

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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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DopeLearning: A Computational Approach to Rap Lyrics Generation

Jun 09, 2016
Eric Malmi, Pyry Takala, Hannu Toivonen, Tapani Raiko, Aristides Gionis

* This is a pre-print of an article appearing at KDD'16 

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Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation

Jun 07, 2016
Huiling Wang, Tapani Raiko, Lasse Lensu, Tinghuai Wang, Juha Karhunen

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Ladder Variational Autoencoders

May 27, 2016
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther

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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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Lateral Connections in Denoising Autoencoders Support Supervised Learning

Apr 30, 2015
Antti Rasmus, Harri Valpola, Tapani Raiko

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

Mar 31, 2015
Antti Rasmus, Tapani Raiko, Harri Valpola

* Presentation at ICLR 2015 workshop 

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Iterative Neural Autoregressive Distribution Estimator (NADE-k)

Dec 06, 2014
Tapani Raiko, Li Yao, Kyunghyun Cho, Yoshua Bengio

* Accepted at Neural Information Processing Systems (NIPS) 2014 

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Linear State-Space Model with Time-Varying Dynamics

Oct 03, 2014
Jaakko Luttinen, Tapani Raiko, Alexander Ilin

* Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science Volume 8725, 2014, pp 338-353 
* The final publication is available at Springer via 

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

Mar 11, 2013
Tommi Vatanen, Tapani Raiko, Harri Valpola, Yann LeCun

* 10 pages, 5 figures, ICLR2013 

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Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework

Jul 04, 2012
Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen

* Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005) 

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'Say EM' for Selecting Probabilistic Models for Logical Sequences

Jul 04, 2012
Kristian Kersting, Tapani Raiko

* Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005) 

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Semi-Supervised Anomaly Detection - Towards Model-Independent Searches of New Physics

Apr 16, 2012
Mikael Kuusela, Tommi Vatanen, Eric Malmi, Tapani Raiko, Timo Aaltonen, Yoshikazu Nagai

* Proceedings of ACAT 2011 conference (Uxbridge, UK), 9 pages, 4 figures 

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