Alexander Ilin

Elizaveta A. Konstantinova

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Comparative Study: Catalytic Activity and Rhodamine Dye Luminescence at the Surface of TiO2-Based Nanoheterostructures.

[BibT_eX]

[DOI]

Vladimir Zaitsev

Artem Marikutsa

Symmetry, 2021

Medical SANSformers: Training self-supervised transformers without attention for Electronic Medical Records.

[BibT_eX]

[DOI]

CoRR, 2021

End-to-End Learning of Keypoint Representations for Continuous Control from Images.

[BibT_eX]

[DOI]

Juho Kannala

CoRR, 2021

A Grid-Structured Model of Tubular Reactors.

[BibT_eX]

[DOI]

Katsiaryna Haitsiukevich

Samuli Bergman

Cesar de Araujo Filho

Francesco Corona

Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

Path-Link Graph Neural Network for IP Network Performance Prediction.

[BibT_eX]

[DOI]

Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Advanced Robotics, 2021

Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Learning to Assist Agents by Observing Them.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

A Relational Model for One-Shot Classification.

[BibT_eX]

[DOI]

Arturs Polis

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Automating Privilege Escalation with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Kalle Kujanpää

Willie Victor

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

2020

Conditional Spoken Digit Generation with StyleGAN.

[BibT_eX]

[DOI]

Kasperi Palkama

Lauri Juvela

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Coupled thermo-mechanical process simulation method for selective laser melting considering phase transformation steels.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2019

Regularizing Trajectory Optimization with Denoising Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Active one-shot learning with Prototypical Networks.

[BibT_eX]

[DOI]

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Regularizing Model-Based Planning with Energy-Based Models.

[BibT_eX]

[DOI]

Juho Kannala

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Semi-Supervised Few-Shot Learning with MAML.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Semi-Supervised Few-Shot Learning with Prototypical Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Recurrent Ladder Networks.

[BibT_eX]

[DOI]

Isabeau Prémont-Schwarz

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

2014

Linear State-Space Model with Time-Varying Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013

Enhanced Gradient for Training Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Neural Comput., 2013

Gaussian-Bernoulli deep Boltzmann machine.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Gaussian-Bernoulli restricted Boltzmann machines and automatic feature extraction for noise robust missing data mask estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012

Bayesian Robust PCA of Incomplete Data.

[BibT_eX]

[DOI]

Juha Karhunen

Neural Process. Lett., 2012

Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Gated Boltzmann Machine in Texture Modeling.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Tikhonov-Type Regularization for Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Methodology for Behavioral-based Malware Analysis and Detection Using Random Projections and K-Nearest Neighbors Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

2010

Practical Approaches to Principal Component Analysis in the Presence of Missing Values.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Transformations in variational Bayesian factor analysis to speed up learning.

[BibT_eX]

[DOI]

Neurocomputing, 2010

Parallel tempering is efficient for learning restricted Boltzmann machines.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Variational Gaussian-process factor analysis for modeling spatio-temporal data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Bayesian PCA for reconstruction of historical sea surface temperatures.

[BibT_eX]

[DOI]

Alexey Kaplan

Proceedings of the International Joint Conference on Neural Networks, 2009

Transformations for variational factor analysis to speed up learning.

[BibT_eX]

[DOI]

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2007

Blind separation of nonlinear mixtures by variational Bayesian learning.

[BibT_eX]

[DOI]

Digit. Signal Process., 2007

Principal Component Analysis for Sparse High-Dimensional Data.

[BibT_eX]

[DOI]

Juha Karhunen

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Principal Component Analysis for Large Scale Problems with Lots of Missing Values.

[BibT_eX]

[DOI]

Juha Karhunen

Proceedings of the Machine Learning: ECML 2007, 2007

2006

Advanced source separation methods with applications to spatio-temporal datasets.

[BibT_eX]

[DOI]

PhD thesis, 2006

Exploratory analysis of climate data using source separation methods.

[BibT_eX]

[DOI]

Erkki Oja

Neural Networks, 2006

Extraction of Components with Structured Variance.

[BibT_eX]

[DOI]

Erkki Oja

Proceedings of the International Joint Conference on Neural Networks, 2006

Comparison of BSS Methods for the Detection of <i>alpha</i>-Activity Components in EEG.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Independent dynamics subspace analysis.

[BibT_eX]

[DOI]

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005

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

[BibT_eX]

[DOI]

Neural Process. Lett., 2005

Towards an Analytical Model for Characterizing Behavior of High-Speed VVoIP Applications.

[BibT_eX]

Proceedings of the world of pervasive networking, 2005

Frequency-Based Separation of Climate Signals.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

2004

Nonlinear dynamical factor analysis for state change detection.

[BibT_eX]

[DOI]

Erkki Oja

IEEE Trans. Neural Networks, 2004

Post-nonlinear Independent Component Analysis by Variational Bayesian Learning.

[BibT_eX]

[DOI]