Nonlinear Blind Source Separation by Variational Bayesian Learning. - Harri Valpola; Erkki Oja; Alexander Ilin; Antti Honkela; Juha Karhunen (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003)

Post-nonlinear Independent Component Analysis by Variational Bayesian Learning. - Alexander Ilin; Antti Honkela (ICA, 2004)

Bayesian versus constrained structure approaches for source separation in post-nonlinear mixtures. - Alexander Ilin; Sophie Achard; Christian Jutten (IJCNN, 2004)

Nonlinear dynamical factor analysis for state change detection. - Alexander Ilin; Harri Valpola; Erkki Oja (IEEE Trans. Neural Networks, 2004)

Semiblind source separation of climate data detects El Nino as the component with the highest interannual variability. - Alexander Ilin; Harri Valpola; Erkki Oja (IJCNN, 2005)

Frequency-Based Separation of Climate Signals. - Alexander Ilin; Harri Valpola (PKDD, 2005)

Towards an Analytical Model for Characterizing Behavior of High-Speed VVoIP Applications. - Andrei M. Sukhov; Prasad Calyam; Warren Daly; Alexander Ilin (TNC, 2005)

On the Effect of the Form of the Posterior Approximation in Variational Learning of ICA Models. - Alexander Ilin; Harri Valpola (Neural Process. Lett., 2005)

Independent dynamics subspace analysis. - Alexander Ilin (ESANN, 2006)

Comparison of BSS Methods for the Detection of alpha-Activity Components in EEG. - Sergey Borisov; Alexander Ilin; Ricardo Vigário; Erkki Oja (ICA, 2006)

Extraction of Components with Structured Variance. - Alexander Ilin; Harri Valpola; Erkki Oja (IJCNN, 2006)

Exploratory analysis of climate data using source separation methods. - Alexander Ilin; Harri Valpola; Erkki Oja (Neural Networks, 2006)

Advanced source separation methods with applications to spatio-temporal datasets. - Alexander Ilin (2006)

Principal Component Analysis for Large Scale Problems with Lots of Missing Values. - Tapani Raiko; Alexander Ilin; Juha Karhunen (ECML, 2007)

Principal Component Analysis for Sparse High-Dimensional Data. - Tapani Raiko; Alexander Ilin; Juha Karhunen (ICONIP (1), 2007)

Blind separation of nonlinear mixtures by variational Bayesian learning. - Antti Honkela; Harri Valpola; Alexander Ilin; Juha Karhunen (Digit. Signal Process., 2007)

Transformations for variational factor analysis to speed up learning. - Jaakko Luttinen; Alexander Ilin; Tapani Raiko (ESANN, 2009)

Bayesian Robust PCA for Incomplete Data. - Jaakko Luttinen; Alexander Ilin; Juha Karhunen (ICA, 2009)

Bayesian PCA for reconstruction of historical sea surface temperatures. - Alexander Ilin; Alexey Kaplan (IJCNN, 2009)

Variational Gaussian-process factor analysis for modeling spatio-temporal data. - Jaakko Luttinen; Alexander Ilin (NIPS, 2009)

Parallel tempering is efficient for learning restricted Boltzmann machines. - KyungHyun Cho; Tapani Raiko; Alexander Ilin (IJCNN, 2010)

Transformations in variational Bayesian factor analysis to speed up learning. - Jaakko Luttinen; Alexander Ilin (Neurocomputing, 2010)

Practical Approaches to Principal Component Analysis in the Presence of Missing Values. - Alexander Ilin; Tapani Raiko (J. Mach. Learn. Res., 2010)

Methodology for Behavioral-based Malware Analysis and Detection Using Random Projections and K-Nearest Neighbors Classifiers. - Jozsef Hegedus; Yoan Miche; Alexander Ilin; Amaury Lendasse (CIS, 2011)

Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines. - KyungHyun Cho; Alexander Ilin; Tapani Raiko (ICANN (1), 2011)

Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines. - KyungHyun Cho; Tapani Raiko; Alexander Ilin (ICML, 2011)

Tikhonov-Type Regularization for Restricted Boltzmann Machines. - KyungHyun Cho; Alexander Ilin; Tapani Raiko (ICANN (1), 2012)

Gated Boltzmann Machine in Texture Modeling. - Tele Hao; Tapani Raiko; Alexander Ilin; Juha Karhunen (ICANN (2), 2012)

Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling. - Jaakko Luttinen; Alexander Ilin (AISTATS, 2012)

A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines. - KyungHyun Cho; Tapani Raiko; Alexander Ilin; Juha Karhunen (ICANN, 2013)

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. Palomäki (ICASSP, 2013)

Gaussian-Bernoulli deep Boltzmann machine. - KyungHyun Cho; Tapani Raiko; Alexander Ilin (IJCNN, 2013)

Enhanced Gradient for Training Restricted Boltzmann Machines. - KyungHyun Cho; Tapani Raiko; Alexander Ilin (Neural Comput., 2013)

Linear State-Space Model with Time-Varying Dynamics. - Jaakko Luttinen; Tapani Raiko; Alexander Ilin (ECML/PKDD (2), 2014)

Recurrent Ladder Networks. - Isabeau Prémont-Schwarz; Alexander Ilin; Tele Hao; Antti Rasmus; Rinu Boney; Harri Valpola (NIPS, 2017)

Semi-Supervised Few-Shot Learning with Prototypical Networks. - Rinu Boney; Alexander Ilin (CoRR, 2017)

Semi-Supervised Few-Shot Learning with MAML. - Rinu Boney; Alexander Ilin (ICLR (Workshop), 2018)

Regularizing Model-Based Planning with Energy-Based Models. - Rinu Boney; Juho Kannala; Alexander Ilin (CoRL, 2019)

Active one-shot learning with Prototypical Networks. - Rinu Boney; Alexander Ilin (ESANN, 2019)

Regularizing Trajectory Optimization with Denoising Autoencoders. - Rinu Boney; Norman Di Palo; Mathias Berglund; Alexander Ilin; Juho Kannala; Antti Rasmus; Harri Valpola (NeurIPS, 2019)

Coupled thermo-mechanical process simulation method for selective laser melting considering phase transformation steels. - Michael Schänzel; Damir Shakirov; Alexander Ilin; Vasily Ploshikhin (Comput. Math. Appl., 2019)

Conditional Spoken Digit Generation with StyleGAN. - Kasperi Palkama; Lauri Juvela; Alexander Ilin (INTERSPEECH, 2020)

Automating Privilege Escalation with Deep Reinforcement Learning. - Kalle Kujanpää; Willie Victor; Alexander Ilin (AISec@CCS, 2021)

A Relational Model for One-Shot Classification. - Arturs Polis; Alexander Ilin (ESANN, 2021)

Learning to Assist Agents by Observing Them. - Antti Keurulainen; Isak Westerlund; Samuel Kaski; Alexander Ilin (ICANN (4), 2021)

Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks. - Antti Keurulainen; Isak Westerlund; Ariel Kwiatkowski; Samuel Kaski; Alexander Ilin (ICANN (4), 2021)

Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning. - Ari Viitala; Rinu Boney; Yi Zhao 014; Alexander Ilin; Juho Kannala (ICAR, 2021)

Path-Link Graph Neural Network for IP Network Performance Prediction. - Yangzhe Kong; Dmitry Petrov; Vilho Räisänen; Alexander Ilin (IM, 2021)

A Grid-Structured Model of Tubular Reactors. - Katsiaryna Haitsiukevich; Samuli Bergman; Cesar de Araujo Filho; Francesco Corona; Alexander Ilin (INDIN, 2021)

End-to-End Learning of Keypoint Representations for Continuous Control from Images. - Rinu Boney; Alexander Ilin; Juho Kannala (CoRR, 2021)

Medical SANSformers: Training self-supervised transformers without attention for Electronic Medical Records. - Yogesh Kumar; Alexander Ilin; Henri Salo; Sangita Kulathinal; Maarit K. Leinonen; Pekka Marttinen (CoRR, 2021)

Comparative Study: Catalytic Activity and Rhodamine Dye Luminescence at the Surface of TiO2-Based Nanoheterostructures. - Elizaveta A. Konstantinova; Vladimir Zaitsev; Artem Marikutsa; Alexander Ilin (Symmetry, 2021)

Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. - Yi Zhao 014; Rinu Boney; Alexander Ilin; Juho Kannala; Joni Pajarinen (ESANN, 2022)

Learning Trajectories of Hamiltonian Systems with Neural Networks. - Katsiaryna Haitsiukevich; Alexander Ilin (ICANN (1), 2022)

Compositional Generalization in Grounded Language Learning via Induced Model Sparsity. - Sam Spilsbury; Alexander Ilin (NAACL-HLT (Student Research Workshop), 2022)

RNA secondary structure prediction with convolutional neural networks. - Mehdi Saman Booy; Alexander Ilin; Pekka Orponen (BMC Bioinform., 2022)

Continuous Monte Carlo Graph Search. - Amin Babadi; Yi Zhao 014; Juho Kannala; Alexander Ilin; Joni Pajarinen (CoRR, 2022)

Learning Explicit Object-Centric Representations with Vision Transformers. - Oscar Vikström; Alexander Ilin (CoRR, 2022)

A Relational Model for One-Shot Classification of Images and Pen Strokes. - Arturs Polis; Alexander Ilin (Neurocomputing, 2022)

Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. - Rinu Boney; Alexander Ilin; Juho Kannala; Jarno Seppänen (IEEE Trans. Games, 2022)

Reader: Model-based language-instructed reinforcement learning. - Nicola Dainese; Pekka Marttinen; Alexander Ilin (EMNLP, 2023)

Hierarchical Imitation Learning with Vector Quantized Models. - Kalle Kujanpää; Joni Pajarinen; Alexander Ilin (ICML, 2023)

Improved Training of Physics-Informed Neural Networks with Model Ensembles. - Katsiaryna Haitsiukevich; Alexander Ilin (IJCNN, 2023)

Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles. - Yuhang Yang; Kalle Kujanpää; Amin Babadi; Joni Pajarinen; Alexander Ilin (ITSC, 2023)

Hybrid Search for Efficient Planning with Completeness Guarantees. - Kalle Kujanpää; Joni Pajarinen; Alexander Ilin (NeurIPS, 2023)

Improved Compositional Generalization by Generating Demonstrations for Meta-Learning. - Sam Spilsbury; Alexander Ilin (CoRR, 2023)

Continuous Monte Carlo Graph Search. - Kalle Kujanpää; Amin Babadi; Yi Zhao 014; Juho Kannala; Alexander Ilin; Joni Pajarinen (AAMAS, 2024)

Can docstring reformulation with an LLM improve code generation? - Nicola Dainese; Alexander Ilin; Pekka Marttinen (EACL (Student Research Workshop), 2024)

Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning. - Sam Spilsbury; Pekka Marttinen; Alexander Ilin (EMNLP, 2024)

Diffusion Models as Probabilistic Neural Operators for Recovering Unobserved States of Dynamical Systems. - Katsiaryna Haitsiukevich; Onur Poyraz; Pekka Marttinen; Alexander Ilin (MLSP, 2024)

Knowledge Injection via Prompt Distillation. - Kalle Kujanpää; Harri Valpola; Alexander Ilin (CoRR, 2024)

Self-Supervised Forecasting in Electronic Health Records With Attention-Free Models. - Yogesh Kumar; Alexander Ilin; Henri Salo; Sangita Kulathinal; Maarit K. Leinonen; Pekka Marttinen (IEEE Trans. Artif. Intell., 2024)

Efficient Knowledge Injection in LLMs via Self-Distillation. - Kalle Kujanpää; Pekka Marttinen; Harri Valpola; Alexander Ilin (Trans. Mach. Learn. Res., 2025)

ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis. - Bernard Spiegl; Andrea Perin; Stéphane Deny; Alexander Ilin (Trans. Mach. Learn. Res., 2025)

Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization. - Minttu Alakuijala; Ya Gao 005; Georgy Ananov; Samuel Kaski; Pekka Marttinen; Alexander Ilin; Harri Valpola (CoRR, 2025)