Alexander Ilin

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 50

Top Venues

Helsinki University of Technology, Finland (PHD)

Education History

Helsinki University of Technology, Finland

PHD

Publications

Bernard Spiegl, Andrea Perin, Stéphane Deny, Alexander Ilin
ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis. CoRR (2024)
Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
Hierarchical Imitation Learning with Vector Quantized Models. CoRR (2023)
Sam Spilsbury, Alexander Ilin
Improved Compositional Generalization by Generating Demonstrations for Meta-Learning. CoRR (2023)
Yuhang Yang, Kalle Kujanpää, Amin Babadi, Joni Pajarinen, Alexander Ilin
Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles. ITSC (2023)
Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
Hierarchical Imitation Learning with Vector Quantized Models. ICML (2023)
Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
Hybrid Search for Efficient Planning with Completeness Guarantees. CoRR (2023)
Yuhang Yang, Kalle Kujanpää, Amin Babadi, Joni Pajarinen, Alexander Ilin
Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles. CoRR (2023)
Nicola Dainese, Pekka Marttinen, Alexander Ilin
Reader: Model-based language-instructed reinforcement learning. EMNLP (2023)
Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
Hybrid Search for Efficient Planning with Completeness Guarantees. NeurIPS (2023)
Katsiaryna Haitsiukevich, Alexander Ilin
Improved Training of Physics-Informed Neural Networks with Model Ensembles. IJCNN (2023)
Sam Spilsbury, Alexander Ilin
Compositional Generalization in Grounded Language Learning via Induced Model Sparsity. NAACL-HLT (Student Research Workshop) (2022)
Katsiaryna Haitsiukevich, Alexander Ilin
Learning Trajectories of Hamiltonian Systems with Neural Networks. ICANN (1) (2022)
Oscar Vikström, Alexander Ilin
Learning Explicit Object-Centric Representations with Vision Transformers. CoRR (2022)
Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. ESANN (2022)
Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen
Continuous Monte Carlo Graph Search. CoRR (2022)
Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. CoRR (2022)
Rinu Boney, Alexander Ilin, Juho Kannala, Jarno Seppänen
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. IEEE Trans. Games 14 (2) (2022)
Katsiaryna Haitsiukevich, Alexander Ilin
Improved Training of Physics-Informed Neural Networks with Model Ensembles. CoRR (2022)
Sam Spilsbury, Alexander Ilin
Compositional Generalization in Grounded Language Learning via Induced Model Sparsity. CoRR (2022)
Katsiaryna Haitsiukevich, Alexander Ilin
Learning Trajectories of Hamiltonian Systems with Neural Networks. CoRR (2022)
Arturs Polis, Alexander Ilin
A Relational Model for One-Shot Classification of Images and Pen Strokes. Neurocomputing 501 (2022)
Mehdi Saman Booy, Alexander Ilin, Pekka Orponen
RNA secondary structure prediction with convolutional neural networks. BMC Bioinform. 23 (1) (2022)
Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin
Behaviour-conditioned policies for cooperative reinforcement learning tasks. CoRR (2021)
Yogesh Kumar, Alexander Ilin, Henri Salo, Sangita Kulathinal, Maarit K. Leinonen, Pekka Marttinen
Medical SANSformers: Training self-supervised transformers without attention for Electronic Medical Records. CoRR (2021)
Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin
Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks. ICANN (4) (2021)
Ari Viitala, Rinu Boney, Yi Zhao, Alexander Ilin, Juho Kannala
Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning. ICAR (2021)
Kalle Kujanpää, Willie Victor, Alexander Ilin
Automating Privilege Escalation with Deep Reinforcement Learning. AISec@CCS (2021)
Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin
A Grid-Structured Model of Tubular Reactors. INDIN (2021)
Arturs Polis, Alexander Ilin
A Relational Model for One-Shot Classification. CoRR (2021)
Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin
A Grid-Structured Model of Tubular Reactors. CoRR (2021)
Yangzhe Kong, Dmitry Petrov, Vilho Räisänen, Alexander Ilin
Path-Link Graph Neural Network for IP Network Performance Prediction. IM (2021)
Elizaveta A. Konstantinova, Vladimir Zaitsev, Artem Marikutsa, Alexander Ilin
Comparative Study: Catalytic Activity and Rhodamine Dye Luminescence at the Surface of TiO2-Based Nanoheterostructures. Symmetry 13 (9) (2021)
Rinu Boney, Alexander Ilin, Juho Kannala
End-to-End Learning of Keypoint Representations for Continuous Control from Images. CoRR (2021)
Antti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin
Learning to Assist Agents by Observing Them. CoRR (2021)
Arturs Polis, Alexander Ilin
A Relational Model for One-Shot Classification. ESANN (2021)
Kalle Kujanpää, Willie Victor, Alexander Ilin
Automating Privilege Escalation with Deep Reinforcement Learning. CoRR (2021)
Antti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin
Learning to Assist Agents by Observing Them. ICANN (4) (2021)
Kasperi Palkama, Lauri Juvela, Alexander Ilin
Conditional Spoken Digit Generation with StyleGAN. INTERSPEECH (2020)
Rinu Boney, Alexander Ilin, Juho Kannala, Jarno Seppänen
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. CoRR (2020)
Kasperi Palkama, Lauri Juvela, Alexander Ilin
Conditional Spoken Digit Generation with StyleGAN. CoRR (2020)
Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola
Regularizing Trajectory Optimization with Denoising Autoencoders. NeurIPS (2019)
Rinu Boney, Alexander Ilin
Active one-shot learning with Prototypical Networks. ESANN (2019)
Michael Schänzel, Damir Shakirov, Alexander Ilin, Vasily Ploshikhin
Coupled thermo-mechanical process simulation method for selective laser melting considering phase transformation steels. Comput. Math. Appl. 78 (7) (2019)
Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola
Regularizing Trajectory Optimization with Denoising Autoencoders. CoRR (2019)
Rinu Boney, Juho Kannala, Alexander Ilin
Regularizing Model-Based Planning with Energy-Based Models. CoRR (2019)
Rinu Boney, Juho Kannala, Alexander Ilin
Regularizing Model-Based Planning with Energy-Based Models. CoRL (2019)
Rinu Boney, Alexander Ilin
Semi-Supervised Few-Shot Learning with MAML. ICLR (Workshop) (2018)
Rinu Boney, Alexander Ilin
Semi-Supervised Few-Shot Learning with Prototypical Networks. CoRR (2017)
Alexander Ilin, Isabeau Prémont-Schwarz, Tele Hotloo Hao, Antti Rasmus, Rinu Boney, Harri Valpola
Recurrent Ladder Networks. CoRR (2017)
Isabeau Prémont-Schwarz, Alexander Ilin, Tele Hao, Antti Rasmus, Rinu Boney, Harri Valpola
Recurrent Ladder Networks. NIPS (2017)
Jaakko Luttinen, Tapani Raiko, Alexander Ilin
Linear State-Space Model with Time-Varying Dynamics. ECML/PKDD (2) (2014)
Sami Keronen, KyungHyun Cho, Tapani Raiko, Alexander Ilin, Kalle J. Palomäki
Gaussian-Bernoulli restricted Boltzmann machines and automatic feature extraction for noise robust missing data mask estimation. ICASSP (2013)
KyungHyun Cho, Tapani Raiko, Alexander Ilin, Juha Karhunen
A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines. ICANN (2013)
KyungHyun Cho, Tapani Raiko, Alexander Ilin
Enhanced Gradient for Training Restricted Boltzmann Machines. Neural Comput. 25 (3) (2013)
KyungHyun Cho, Tapani Raiko, Alexander Ilin
Gaussian-Bernoulli deep Boltzmann machine. IJCNN (2013)
Tele Hao, Tapani Raiko, Alexander Ilin, Juha Karhunen
Gated Boltzmann Machine in Texture Modeling. ICANN (2) (2012)
Jaakko Luttinen, Alexander Ilin
Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling. AISTATS (2012)
KyungHyun Cho, Alexander Ilin, Tapani Raiko
Tikhonov-Type Regularization for Restricted Boltzmann Machines. ICANN (1) (2012)
Jaakko Luttinen, Alexander Ilin, Juha Karhunen
Bayesian Robust PCA of Incomplete Data. Neural Process. Lett. 36 (2) (2012)
KyungHyun Cho, Tapani Raiko, Alexander Ilin
Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines. ICML (2011)
KyungHyun Cho, Alexander Ilin, Tapani Raiko
Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines. ICANN (1) (2011)
Jozsef Hegedus, Yoan Miche, Alexander Ilin, Amaury Lendasse
Methodology for Behavioral-based Malware Analysis and Detection Using Random Projections and K-Nearest Neighbors Classifiers. CIS (2011)
Alexander Ilin, Tapani Raiko
Practical Approaches to Principal Component Analysis in the Presence of Missing Values. J. Mach. Learn. Res. 11 (2010)
KyungHyun Cho, Tapani Raiko, Alexander Ilin
Parallel tempering is efficient for learning restricted Boltzmann machines. IJCNN (2010)
Jaakko Luttinen, Alexander Ilin
Transformations in variational Bayesian factor analysis to speed up learning. Neurocomputing 73 (7-9) (2010)
Alexander Ilin, Alexey Kaplan
Bayesian PCA for reconstruction of historical sea surface temperatures. IJCNN (2009)
Jaakko Luttinen, Alexander Ilin, Tapani Raiko
Transformations for variational factor analysis to speed up learning. ESANN (2009)
Jaakko Luttinen, Alexander Ilin
Variational Gaussian-process factor analysis for modeling spatio-temporal data. NIPS (2009)
Jaakko Luttinen, Alexander Ilin, Juha Karhunen
Bayesian Robust PCA for Incomplete Data. ICA (2009)
Tapani Raiko, Alexander Ilin, Juha Karhunen
Principal Component Analysis for Large Scale Problems with Lots of Missing Values. ECML (2007)
Tapani Raiko, Alexander Ilin, Juha Karhunen
Principal Component Analysis for Sparse High-Dimensional Data. ICONIP (1) (2007)
Antti Honkela, Harri Valpola, Alexander Ilin, Juha Karhunen
Blind separation of nonlinear mixtures by variational Bayesian learning. Digit. Signal Process. 17 (5) (2007)
Alexander Ilin, Harri Valpola, Erkki Oja
Extraction of Components with Structured Variance. IJCNN (2006)
Alexander Ilin, Harri Valpola, Erkki Oja
Exploratory analysis of climate data using source separation methods. Neural Networks 19 (2) (2006)
Alexander Ilin
Independent dynamics subspace analysis. ESANN (2006)
Sergey Borisov, Alexander Ilin, Ricardo Vigário, Erkki Oja
-Activity Components in EEG. ICA (2006)
Alexander Ilin, Harri Valpola
Frequency-Based Separation of Climate Signals. PKDD (2005)
Alexander Ilin, Harri Valpola
On the Effect of the Form of the Posterior Approximation in Variational Learning of ICA Models. Neural Process. Lett. 22 (2) (2005)
Andrei M. Sukhov, Prasad Calyam, Warren Daly, Alexander Ilin
Towards an Analytical Model for Characterizing Behavior of High-Speed VVoIP Applications. TNC (2005)
Alexander Ilin, Harri Valpola, Erkki Oja
Nonlinear dynamical factor analysis for state change detection. IEEE Trans. Neural Networks 15 (3) (2004)
Alexander Ilin, Antti Honkela
Post-nonlinear Independent Component Analysis by Variational Bayesian Learning. ICA (2004)
Harri Valpola, Erkki Oja, Alexander Ilin, Antti Honkela, Juha Karhunen
Nonlinear Blind Source Separation by Variational Bayesian Learning. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (3) (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexander Ilin