| 2016 | ACCV | Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation. | Huiling Wang, Tapani Raiko, Lasse Lensu, Tinghuai Wang, Juha Karhunen |
| 2016 | ICML | Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters. | Jelena Luketina, Tapani Raiko, Mathias Berglund, Klaus Greff |
| 2016 | KDD | DopeLearning: A Computational Approach to Rap Lyrics Generation. | Eric Malmi, Pyry Takala, Hannu Toivonen, Tapani Raiko, Aristides Gionis |
| 2013 | ICANN | A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines. | KyungHyun Cho, Tapani Raiko, Alexander Ilin, Juha Karhunen |
| 2013 | ICASSP | Gaussian-Bernoulli restricted Boltzmann machines and automatic feature extraction for noise robust missing data mask estimation. | Sami Keronen, KyungHyun Cho, Tapani Raiko, Alexander Ilin, Kalle J. Palomki |
| 2013 | ICONIP | Measuring the Usefulness of Hidden Units in Boltzmann Machines with Mutual Information. | Mathias Berglund, Tapani Raiko, KyungHyun Cho |
| 2013 | ICONIP | Two-Layer Contractive Encodings with Shortcuts for Semi-supervised Learning. | Hannes Schulz, KyungHyun Cho, Tapani Raiko, Sven Behnke |
| 2013 | ICONIP | Pushing Stochastic Gradient towards Second-Order Methods - Backpropagation Learning with Transformations in Nonlinearities. | Tommi Vatanen, Tapani Raiko, Harri Valpola, Yann LeCun |
| 2013 | IJCNN | Gaussian-Bernoulli deep Boltzmann machine. | KyungHyun Cho, Tapani Raiko, Alexander Ilin |
| 2013 | IDA | Variational Bayesian PCA versus k-NN on a Very Sparse Reddit Voting Dataset. | Jussa Klapuri, Ilari T. Nieminen, Tapani Raiko, Krista Lagus |
| 2012 | ECAI | Towards Generalizing the Success of Monte-Carlo Tree Search beyond the Game of Go. | Antnio Gusmo, Tapani Raiko |
| 2012 | ICANN | Learning Deep Belief Networks from Non-stationary Streams. | Roberto Calandra, Tapani Raiko, Marc Peter Deisenroth, Federico Montesino-Pouzols |
| 2012 | ICANN | Tikhonov-Type Regularization for Restricted Boltzmann Machines. | KyungHyun Cho, Alexander Ilin, Tapani Raiko |
| 2012 | ICANN | Gated Boltzmann Machine in Texture Modeling. | Tele Hao, Tapani Raiko, Alexander Ilin, Juha Karhunen |
| 2012 | ICANN | Hybrid Bilinear and Trilinear Models for Exploratory Analysis of Three-Way Poisson Counts. | Juha Raitio, Tapani Raiko, Timo Honkela |
| 2012 | IJCNN | Semi-supervised detection of collective anomalies with an application in high energy particle physics. | Tommi Vatanen, Mikael Kuusela, Eric Malmi, Tapani Raiko, Timo Aaltonen, Yoshikazu Nagai |
| 2011 | ICANN | Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines. | KyungHyun Cho, Alexander Ilin, Tapani Raiko |
| 2011 | ICML | Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines. | KyungHyun Cho, Tapani Raiko, Alexander Ilin |
| 2010 | IJCNN | Parallel tempering is efficient for learning restricted Boltzmann machines. | KyungHyun Cho, Tapani Raiko, Alexander Ilin |
| 2010 | IJCNN | Extending Self-Organizing Maps with uncertainty information of probabilistic PCA. | Dusan Sovilj, Tapani Raiko, Erkki Oja |
| 2009 | ESANN | Transformations for variational factor analysis to speed up learning. | Jaakko Luttinen, Alexander Ilin, Tapani Raiko |
| 2009 | IJCNN | A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians. | Mikael Kuusela, Tapani Raiko, Antti Honkela, Juha Karhunen |
| 2007 | ICONIP | Natural Conjugate Gradient in Variational Inference. | Antti Honkela, Matti Tornio, Tapani Raiko, Juha Karhunen |
| 2007 | ICONIP | Principal Component Analysis for Sparse High-Dimensional Data. | Tapani Raiko, Alexander Ilin, Juha Karhunen |
| 2005 | ICANN | Nonlinear Relational Markov Networks with an Application to the Game of Go. | Tapani Raiko |
| 2005 | IJCNN | Learning nonlinear state-space models for control. | Tapani Raiko, Matti Tornio |
| 2005 | UAI | Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework. | Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen |
| 2005 | UAI | "Say EM" for Selecting Probabilistic Models for Logical Sequences. | Kristian Kersting, Tapani Raiko |
| 2004 | IJCNN | Partially observed values. | Tapani Raiko |
| 2003 | PSB | Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models. | Kristian Kersting, Tapani Raiko, Stefan Kramer, Luc De Raedt |