Alexander Ilin

发表

Bayesian learning of latent variable models

Juha Karhunen, Antti Honkela, Tapani Raiko, 2008 .

Comparison of BSS Methods for the Detection of alpha-Activity Components in EEG

Erkki Oja, Alexander Ilin, Ricardo Vigário, 2006, ICA.

Researcher's guide to Bayes Blocks library

Antti Honkela, Tapani Raiko, Markus Harva, 2006 .

Regularizing Model-Based Planning with Energy-Based Models pdf

Alexander Ilin, Juho Kannala, Rinu Boney, 2019, CoRL.

The International Conference on Artificial Neural Networks and Machine Learning - ICANN 2013

Juha Karhunen, Tapani Raiko, Alexander Ilin, 2013 .

Transformations in variational Bayesian factor analysis to speed up learning

Alexander Ilin, Jaakko Luttinen, A. Ilin, 2010, Neurocomputing.

Bayesian PCA for reconstruction of historical sea surface temperatures

Alexander Ilin, Alexey Kaplan, A. Ilin, 2009, 2009 International Joint Conference on Neural Networks.

Extraction of Components with Structured Variance

Erkki Oja, Alexander Ilin, Harri Valpola, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

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

Alexander Ilin, Juho Kannala, Yi Zhao, 2020 .

Influence of multi-spot exposure of powder bed on melt pool stability in selective laser melting

Alexander Ilin, Thomas Kiedrowski, Vasily Ploshikhin, 2019, LASE.

Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines

Tapani Raiko, Alexander Ilin, Kyunghyun Cho, 2011, ICML.

Post-nonlinear Independent Component Analysis by Variational Bayesian Learning

Antti Honkela, Alexander Ilin, A. Ilin, 2004, ICA.

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

Alexander Ilin, Amaury Lendasse, Yoan Miché, 2011, 2011 Seventh International Conference on Computational Intelligence and Security.

Semi-Supervised Few-Shot Learning with Prototypical Networks pdf

Alexander Ilin, Rinu Boney, A. Ilin, 2017, ArXiv.

Tikhonov-Type Regularization for Restricted Boltzmann Machines

Tapani Raiko, Alexander Ilin, Kyunghyun Cho, 2012, ICANN.

Blind separation of nonlinear mixtures by variational Bayesian learning

Juha Karhunen, Antti Honkela, Alexander Ilin, 2007, Digit. Signal Process..

Bayesian Robust PCA of Incomplete Data

Juha Karhunen, Alexander Ilin, Jaakko Luttinen, 2012, Neural Processing Letters.

Estimating model error covariance matrix parameters in extended Kalman filtering

Alexander Ilin, Antti Solonen, Janne Hakkarainen, 2014 .

Bayesian optimization for tuning chaotic systems

Erkki Oja, Alexander Ilin, Antti Solonen, 2014 .

The International Conference on Machine Learning (ICML 2011)

Tapani Raiko, Alexander Ilin, Kyunghyun Cho, 2011 .

Enhanced Gradient for Learning Boltzmann Machines

Tapani Raiko, Alexander Ilin, Kyunghyun Cho, 2011 .

Deep learning and Boltzmann machines

Tapani Raiko, Alexander Ilin, Kyunghyun Cho, 2012 .

Frequency-Based Separation of Climate Signals

Alexander Ilin, Harri Valpola, A. Ilin, 2005, PKDD.

Transformations for variational factor analysis to speed up learning

Tapani Raiko, Alexander Ilin, Jaakko Luttinen, 2009, ESANN.

A dilemma of the uniqueness of weather and climate model closure parameters

Alexander Ilin, Heikki Haario, Marko Laine, 2013 .

Chapter 2 Independent component analysis and blind source separation

Tapani Ristaniemi, Juha Karhunen, Alexander Ilin, 2004 .

Exploratory analysis of climate data using source separation methods

Erkki Oja, Alexander Ilin, Harri Valpola, 2006, Neural Networks.

Active one-shot learning with Prototypical Networks

Alexander Ilin, Rinu Boney, 2019, ESANN.

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

Alexander Ilin, Jaakko Luttinen, A. Ilin, 2012, AISTATS.

Bayesian Robust PCA of Incomplete Data

Juha Karhunen, Alexander Ilin, Jaakko Luttinen, 2009, Neural Processing Letters.

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

Alexander Ilin, Vasily Ploshikhin, Michael Schänzel, 2019, Comput. Math. Appl..

Principal Component Analysis for Sparse High-Dimensional Data

Juha Karhunen, Tapani Raiko, Alexander Ilin, 2007, ICONIP.

Linear State-Space Model with Time-Varying Dynamics

Tapani Raiko, Alexander Ilin, Jaakko Luttinen, 2014, ECML/PKDD.

Semi-Supervised and Active Few-Shot Learning with Prototypical Networks

Alexander Ilin, Rinu Boney, A. Ilin, 2017 .

Lock Manager for Own Products

Alexander Ilin, Sergey Krendelev, Alexey V. Yuzhakov, 2013 .

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

Juha Karhunen, Tapani Raiko, Alexander Ilin, 2007, ECML.

Conditional Spoken Digit Generation with StyleGAN pdf

Lauri Juvela, Alexander Ilin, Kasperi Palkama, 2020, INTERSPEECH.

Binary principal component analysis in the Netflix collaborative filtering task

Tapani Raiko, Alexander Ilin, Laszlo Kozma, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

Regularizing Trajectory Optimization with Denoising Autoencoders

Alexander Ilin, Harri Valpola, Juho Kannala, 2019, NeurIPS.

Empirical evaluation of bayesian optimization in parametric tuning of chaotic systems

Erkki Oja, Alexander Ilin, Mudassar Abbas, 2016 .

Gated Boltzmann Machine in Texture Modeling

Juha Karhunen, Tapani Raiko, Alexander Ilin, 2012, ICANN.

European conference on machine learning and knowledge discovery in databases

Tapani Raiko, Alexander Ilin, Jaakko Luttinen, 2014 .

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

Alexander Ilin, Harri Valpola, A. Ilin, 2005, Neural Processing Letters.

Enhanced Gradient for Training Restricted Boltzmann Machines

Tapani Raiko, Alexander Ilin, Kyunghyun Cho, 2013, Neural Computation.

ICANN International Conference on Artificial Neural Networks (ICANN 2012) ICANN, Lausanne, Switzerland, September 11-14, 2012

Tapani Raiko, Alexander Ilin, Kyunghyun Cho, 2012 .

NIPS 2011 Workshop on Deep Learning and Unsupervised Feature Learning

Tapani Raiko, Alexander Ilin, Kyunghyun Cho, 2011 .

Learning to Play Imperfect-Information Games by Imitating an Oracle Planner pdf

Alexander Ilin, Juho Kannala, Rinu Boney, 2020, IEEE Transactions on Games.

Lock Manager for Own Products

Alexander Ilin, Sergey Krendelev, Sergey Egorov, 2013 .

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

Alexander Ilin, Andrei M. Sukhov, Prasad Calyam, 2005, TNC.

An LSTM model for power grid loss prediction

Alexander Ilin, Janne Seppanen, Jarkko Tulensalo, 2020 .

The Learning Workshop

Tapani Raiko, Alexander Ilin, Kyunghyun Cho, 2011 .

A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines

Juha Karhunen, Tapani Raiko, Alexander Ilin, 2013, ICANN.

The International Conference on Artificial Neural Networks (ICANN 2011)

Tapani Raiko, Alexander Ilin, Kyunghyun Cho, 2011 .

On closure parameter estimation in chaotic systems

Alexander Ilin, Heikki Haario, Erkki Oja, 2012 .

Independent dynamics subspace analysis

Alexander Ilin, A. Ilin, 2006, ESANN.

Bayes Blocks Software Library

Antti Honkela, Tapani Raiko, Markus Harva, 2003 .

Recurrent Ladder Networks

Alexander Ilin, Harri Valpola, Rinu Boney, 2017, NIPS.

How to Pretrain Deep Boltzmann Machines in Two Stages

Juha Karhunen, Tapani Raiko, Alexander Ilin, 2015 .

Parallel tempering is efficient for learning restricted Boltzmann machines

Tapani Raiko, Alexander Ilin, Kyunghyun Cho, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

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

Alexander Ilin, Jaakko Luttinen, A. Ilin, 2009, NIPS.

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

Tapani Raiko, Alexander Ilin, Kyunghyun Cho, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Advanced source separation methods with applications to spatio-temporal datasets

Alexander Ilin, A. Ilin, 2006 .

Gaussian-Bernoulli deep Boltzmann machine

Tapani Raiko, Alexander Ilin, Kyunghyun Cho, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Random Projection Method for Scalable Malware Classification

Alexander Ilin, Amaury Lendasse, Yoan Miche, 2011 .

Nonlinear dynamical factor analysis for state change detection

Erkki Oja, Alexander Ilin, Harri Valpola, 2004, IEEE Transactions on Neural Networks.

Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines

Tapani Raiko, Alexander Ilin, Kyunghyun Cho, 2011, ICANN.

Tkk Reports in Information and Computer Science Practical Approaches to Principal Component Analysis in the Presence of Missing Values Tkk Reports in Information and Computer Science Practical Approaches to Principal Component Analysis in the Presence of Missing Values

Tapani Raiko, Alexander Ilin, T. Raiko, 2022 .

Semi-Supervised Few-Shot Learning with MAML

Alexander Ilin, Rinu Boney, A. Ilin, 2018, ICLR.

A Grid-Structured Model of Tubular Reactors

Alexander Ilin, Francesco Corona, Katsiaryna Haitsiukevich, 2021, 2021 IEEE 19th International Conference on Industrial Informatics (INDIN).

Learning to Assist Agents by Observing Them pdf

Alexander Ilin, Samuel Kaski, Antti Keurulainen, 2021, ICANN.

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

Alexander Ilin, Sangita Kulathinal, Pekka Marttinen, 2021, ArXiv.

Path-Link Graph Neural Network for IP Network Performance Prediction

Alexander Ilin, Dmitry Petrov, Vilho Räisänen, 2021, 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM).

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

Alexander Ilin, Juho Kannala, Rinu Boney, 2021, ArXiv.

Learning of feature points without additional supervision improves reinforcement learning from images

Alexander Ilin, Juho Kannala, Rinu Boney, 2021 .

Automating Privilege Escalation with Deep Reinforcement Learning

Alexander Ilin, Kalle Kujanpää, Willie Victor, 2021, AISec@CCS.

Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks pdf

Alexander Ilin, Samuel Kaski, Antti Keurulainen, 2021, ICANN.

Experimental investigation of the hot cracking mechanism in welds on the microscopic scale

Alexander Ilin, A. Ilin, V. Ploshikhin, 2011 .

NIPS 2012 Workshop on Deep Learning and Unsupervised Feature Learning, Lake Tahoe, Usa, December 8, 2012

Juha Karhunen, Tapani Raiko, Alexander Ilin, 2012 .

Estimation of ECHAM5 climate model closure parameters with adaptive MCMC

Erkki Oja, Alexander Ilin, Heikki Haario, 2010 .