| 2026 | WWW | Tuning Qwen2.5-VL to Improve Its Web Interaction Skills. | Alexandra Yakovleva, Henrik Prssinen, Harri Valpola, Juho Kannala, Alexander Ilin |
| 2024 | EACL | Can docstring reformulation with an LLM improve code generation? | Nicola Dainese, Alexander Ilin, Pekka Marttinen |
| 2024 | EMNLP | Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning. | Sam Spilsbury, Pekka Marttinen, Alexander Ilin |
| 2023 | EMNLP | Reader: Model-based language-instructed reinforcement learning. | Nicola Dainese, Pekka Marttinen, Alexander Ilin |
| 2023 | ICML | Hierarchical Imitation Learning with Vector Quantized Models. | Kalle Kujanp, Joni Pajarinen, Alexander Ilin |
| 2023 | IJCNN | Improved Training of Physics-Informed Neural Networks with Model Ensembles. | Katsiaryna Haitsiukevich, Alexander Ilin |
| 2022 | ESANN | Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. | Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen |
| 2022 | ICANN | Learning Trajectories of Hamiltonian Systems with Neural Networks. | Katsiaryna Haitsiukevich, Alexander Ilin |
| 2022 | NAACL | Compositional Generalization in Grounded Language Learning via Induced Model Sparsity. | Sam Spilsbury, Alexander Ilin |
| 2021 | CCS | Automating Privilege Escalation with Deep Reinforcement Learning. | Kalle Kujanp, Willie Victor, Alexander Ilin |
| 2021 | ESANN | A Relational Model for One-Shot Classification. | Arturs Polis, Alexander Ilin |
| 2021 | ICANN | Learning to Assist Agents by Observing Them. | Antti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin |
| 2021 | ICANN | Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks. | Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin |
| 2021 | IM | Path-Link Graph Neural Network for IP Network Performance Prediction. | Yangzhe Kong, Dmitry Petrov, Vilho Risnen, Alexander Ilin |
| 2021 | INDIN | A Grid-Structured Model of Tubular Reactors. | Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin |
| 2020 | Interspeech | Conditional Spoken Digit Generation with StyleGAN. | Kasperi Palkama, Lauri Juvela, Alexander Ilin |
| 2019 | CoRL | Regularizing Model-Based Planning with Energy-Based Models. | Rinu Boney, Juho Kannala, Alexander Ilin |
| 2019 | ESANN | Active one-shot learning with Prototypical Networks. | Rinu Boney, Alexander Ilin |
| 2018 | ICLR | Semi-Supervised Few-Shot Learning with MAML. | Rinu Boney, Alexander Ilin |
| 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 | IJCNN | Gaussian-Bernoulli deep Boltzmann machine. | KyungHyun Cho, Tapani Raiko, Alexander Ilin |
| 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 |
| 2011 | CIS | Methodology for Behavioral-based Malware Analysis and Detection Using Random Projections and K-Nearest Neighbors Classifiers. | Jozsef Hegedus, Yoan Miche, Alexander Ilin, Amaury Lendasse |
| 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 |
| 2009 | ESANN | Transformations for variational factor analysis to speed up learning. | Jaakko Luttinen, Alexander Ilin, Tapani Raiko |
| 2009 | IJCNN | Bayesian PCA for reconstruction of historical sea surface temperatures. | Alexander Ilin, Alexey Kaplan |
| 2009 | IDA | Bayesian Robust PCA for Incomplete Data. | Jaakko Luttinen, Alexander Ilin, Juha Karhunen |
| 2007 | ICONIP | Principal Component Analysis for Sparse High-Dimensional Data. | Tapani Raiko, Alexander Ilin, Juha Karhunen |
| 2006 | ESANN | Independent dynamics subspace analysis. | Alexander Ilin |
| 2006 | IJCNN | Extraction of Components with Structured Variance. | Alexander Ilin, Harri Valpola, Erkki Oja |
| 2005 | IJCNN | Semiblind source separation of climate data detects El Nino as the component with the highest interannual variability. | Alexander Ilin, Harri Valpola, Erkki Oja |
| 2004 | IJCNN | Bayesian versus constrained structure approaches for source separation in post-nonlinear mixtures. | Alexander Ilin, Sophie Achard, Christian Jutten |