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Alexander Ilin
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2020 – today
- 2024
- [j15]Yogesh Kumar
, Alexander Ilin
Self-Supervised Forecasting in Electronic Health Records With Attention-Free Models. IEEE Trans. Artif. Intell. 5(8): 3926-3938 (2024) - [c46]Kalle Kujanpää, Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen:
Continuous Monte Carlo Graph Search. AAMAS 2024: 1047-1056 - [c45]Nicola Dainese, Alexander Ilin, Pekka Marttinen:
Can docstring reformulation with an LLM improve code generation? EACL (Student Research Workshop) 2024: 296-312 - [i25]Bernard Spiegl, Andrea Perin, Stéphane Deny, Alexander Ilin:
ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis. CoRR abs/2402.02906 (2024) - [i24]Katsiaryna Haitsiukevich, Onur Poyraz, Pekka Marttinen, Alexander Ilin:
Diffusion models as probabilistic neural operators for recovering unobserved states of dynamical systems. CoRR abs/2405.07097 (2024) - 2023
- [c44]Nicola Dainese, Pekka Marttinen, Alexander Ilin:
Reader: Model-based language-instructed reinforcement learning. EMNLP 2023: 16583-16599 - [c43]Kalle Kujanpää, Joni Pajarinen, Alexander Ilin:
Hierarchical Imitation Learning with Vector Quantized Models. ICML 2023: 17896-17919 - [c42]Katsiaryna Haitsiukevich
Improved Training of Physics-Informed Neural Networks with Model Ensembles. IJCNN 2023: 1-8 - [c41]Yuhang Yang, Kalle Kujanpää, Amin Babadi, Joni Pajarinen
Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles. ITSC 2023: 1983-1988 - [c40]Kalle Kujanpää, Joni Pajarinen, Alexander Ilin:
Hybrid Search for Efficient Planning with Completeness Guarantees. NeurIPS 2023 - [i23]Kalle Kujanpää, Joni Pajarinen, Alexander Ilin:
Hierarchical Imitation Learning with Vector Quantized Models. CoRR abs/2301.12962 (2023) - [i22]Sam Spilsbury, Alexander Ilin:
Improved Compositional Generalization by Generating Demonstrations for Meta-Learning. CoRR abs/2305.13092 (2023) - [i21]Yuhang Yang, Kalle Kujanpää, Amin Babadi, Joni Pajarinen, Alexander Ilin:
Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles. CoRR abs/2309.00249 (2023) - [i20]Kalle Kujanpää, Joni Pajarinen, Alexander Ilin:
Hybrid Search for Efficient Planning with Completeness Guarantees. CoRR abs/2310.12819 (2023) - 2022
- [j14]Mehdi Saman Booy, Alexander Ilin, Pekka Orponen
RNA secondary structure prediction with convolutional neural networks. BMC Bioinform. 23(1): 58 (2022) - [j13]Arturs Polis, Alexander Ilin:
A Relational Model for One-Shot Classification of Images and Pen Strokes. Neurocomputing 501: 1-13 (2022) - [j12]Rinu Boney
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. IEEE Trans. Games 14(2): 262-272 (2022) - [c39]Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. ESANN 2022 - [c38]Katsiaryna Haitsiukevich
Learning Trajectories of Hamiltonian Systems with Neural Networks. ICANN (1) 2022: 562-573 - [c37]Sam Spilsbury, Alexander Ilin:
Compositional Generalization in Grounded Language Learning via Induced Model Sparsity. NAACL-HLT (Student Research Workshop) 2022: 143-155 - [i19]Katsiaryna Haitsiukevich, Alexander Ilin:
Learning Trajectories of Hamiltonian Systems with Neural Networks. CoRR abs/2204.05077 (2022) - [i18]Katsiaryna Haitsiukevich, Alexander Ilin:
Improved Training of Physics-Informed Neural Networks with Model Ensembles. CoRR abs/2204.05108 (2022) - [i17]Sam Spilsbury, Alexander Ilin:
Compositional Generalization in Grounded Language Learning via Induced Model Sparsity. CoRR abs/2207.02518 (2022) - [i16]Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen:
Continuous Monte Carlo Graph Search. CoRR abs/2210.01426 (2022) - [i15]Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen:
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. CoRR abs/2210.13846 (2022) - [i14]Oscar Vikström, Alexander Ilin:
Learning Explicit Object-Centric Representations with Vision Transformers. CoRR abs/2210.14139 (2022) - 2021
- [j11]Elizaveta A. Konstantinova
Comparative Study: Catalytic Activity and Rhodamine Dye Luminescence at the Surface of TiO2-Based Nanoheterostructures. Symmetry 13(9): 1758 (2021) - [c36]Kalle Kujanpää, Willie Victor, Alexander Ilin:
Automating Privilege Escalation with Deep Reinforcement Learning. AISec@CCS 2021: 157-168 - [c35]Arturs Polis
A Relational Model for One-Shot Classification. ESANN 2021 - [c34]Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin:
Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks. ICANN (4) 2021: 493-504 - [c33]Antti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin:
Learning to Assist Agents by Observing Them. ICANN (4) 2021: 519-530 - [c32]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: 275-281 - [c31]Yangzhe Kong, Dmitry Petrov, Vilho Räisänen, Alexander Ilin:
Path-Link Graph Neural Network for IP Network Performance Prediction. IM 2021: 170-177 - [c30]Katsiaryna Haitsiukevich
A Grid-Structured Model of Tubular Reactors. INDIN 2021: 1-6 - [i13]Rinu Boney, Alexander Ilin, Juho Kannala:
End-to-End Learning of Keypoint Representations for Continuous Control from Images. CoRR abs/2106.07995 (2021) - [i12]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 abs/2108.13672 (2021) - [i11]Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski, Samuel Kaski, Alexander Ilin:
Behaviour-conditioned policies for cooperative reinforcement learning tasks. CoRR abs/2110.01266 (2021) - [i10]Antti Keurulainen, Isak Westerlund, Samuel Kaski, Alexander Ilin:
Learning to Assist Agents by Observing Them. CoRR abs/2110.01311 (2021) - [i9]Kalle Kujanpää, Willie Victor, Alexander Ilin:
Automating Privilege Escalation with Deep Reinforcement Learning. CoRR abs/2110.01362 (2021) - [i8]Arturs Polis, Alexander Ilin:
A Relational Model for One-Shot Classification. CoRR abs/2111.04313 (2021) - [i7]Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin:
A Grid-Structured Model of Tubular Reactors. CoRR abs/2112.10765 (2021) - 2020
- [c29]Kasperi Palkama, Lauri Juvela
Conditional Spoken Digit Generation with StyleGAN. INTERSPEECH 2020: 3166-3170 - [i6]Kasperi Palkama, Lauri Juvela, Alexander Ilin:
Conditional Spoken Digit Generation with StyleGAN. CoRR abs/2004.13764 (2020) - [i5]Rinu Boney, Alexander Ilin, Juho Kannala, Jarno Seppänen:
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. CoRR abs/2012.12186 (2020)
2010 – 2019
- 2019
- [j10]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): 2230-2246 (2019) - [c28]Rinu Boney, Juho Kannala, Alexander Ilin:
Regularizing Model-Based Planning with Energy-Based Models. CoRL 2019: 182-191 - [c27]Rinu Boney, Alexander Ilin:
Active one-shot learning with Prototypical Networks. ESANN 2019 - [c26]Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola:
Regularizing Trajectory Optimization with Denoising Autoencoders. NeurIPS 2019: 2855-2865 - [i4]Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola:
Regularizing Trajectory Optimization with Denoising Autoencoders. CoRR abs/1903.11981 (2019) - [i3]Rinu Boney, Juho Kannala, Alexander Ilin:
Regularizing Model-Based Planning with Energy-Based Models. CoRR abs/1910.05527 (2019) - 2018
- [c25]Rinu Boney, Alexander Ilin:
Semi-Supervised Few-Shot Learning with MAML. ICLR (Workshop) 2018 - 2017
- [c24]Isabeau Prémont-Schwarz, Alexander Ilin, Tele Hao, Antti Rasmus, Rinu Boney, Harri Valpola:
Recurrent Ladder Networks. NIPS 2017: 6009-6019 - [i2]Alexander Ilin, Isabeau Prémont-Schwarz, Tele Hotloo Hao, Antti Rasmus, Rinu Boney, Harri Valpola:
Recurrent Ladder Networks. CoRR abs/1707.09219 (2017) - [i1]Rinu Boney, Alexander Ilin:
Semi-Supervised Few-Shot Learning with Prototypical Networks. CoRR abs/1711.10856 (2017) - 2014
- [c23]Jaakko Luttinen, Tapani Raiko, Alexander Ilin:
Linear State-Space Model with Time-Varying Dynamics. ECML/PKDD (2) 2014: 338-353 - 2013
- [j9]KyungHyun Cho, Tapani Raiko, Alexander Ilin:
Enhanced Gradient for Training Restricted Boltzmann Machines. Neural Comput. 25(3): 805-831 (2013) - [c22]KyungHyun Cho, Tapani Raiko, Alexander Ilin, Juha Karhunen:
A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines. ICANN 2013: 106-113 - [c21]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: 6729-6733 - [c20]KyungHyun Cho, Tapani Raiko, Alexander Ilin:
Gaussian-Bernoulli deep Boltzmann machine. IJCNN 2013: 1-7 - 2012
- [j8]Jaakko Luttinen, Alexander Ilin, Juha Karhunen:
Bayesian Robust PCA of Incomplete Data. Neural Process. Lett. 36(2): 189-202 (2012) - [c19]KyungHyun Cho, Alexander Ilin, Tapani Raiko:
Tikhonov-Type Regularization for Restricted Boltzmann Machines. ICANN (1) 2012: 81-88 - [c18]Tele Hao, Tapani Raiko, Alexander Ilin, Juha Karhunen:
Gated Boltzmann Machine in Texture Modeling. ICANN (2) 2012: 124-131 - [c17]Jaakko Luttinen, Alexander Ilin:
Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling. AISTATS 2012: 741-750 - 2011
- [c16]Jozsef Hegedus, Yoan Miche
Methodology for Behavioral-based Malware Analysis and Detection Using Random Projections and K-Nearest Neighbors Classifiers. CIS 2011: 1016-1023 - [c15]KyungHyun Cho, Alexander Ilin, Tapani Raiko:
Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines. ICANN (1) 2011: 10-17 - [c14]KyungHyun Cho, Tapani Raiko, Alexander Ilin:
Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines. ICML 2011: 105-112 - 2010
- [j7]Jaakko Luttinen, Alexander Ilin:
Transformations in variational Bayesian factor analysis to speed up learning. Neurocomputing 73(7-9): 1093-1102 (2010) - [j6]Alexander Ilin, Tapani Raiko:
Practical Approaches to Principal Component Analysis in the Presence of Missing Values. J. Mach. Learn. Res. 11: 1957-2000 (2010) - [c13]KyungHyun Cho, Tapani Raiko, Alexander Ilin:
Parallel tempering is efficient for learning restricted Boltzmann machines. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c12]Jaakko Luttinen, Alexander Ilin, Tapani Raiko:
Transformations for variational factor analysis to speed up learning. ESANN 2009 - [c11]Jaakko Luttinen, Alexander Ilin, Juha Karhunen:
Bayesian Robust PCA for Incomplete Data. ICA 2009: 66-73 - [c10]Alexander Ilin, Alexey Kaplan:
Bayesian PCA for reconstruction of historical sea surface temperatures. IJCNN 2009: 1322-1327 - [c9]Jaakko Luttinen, Alexander Ilin:
Variational Gaussian-process factor analysis for modeling spatio-temporal data. NIPS 2009: 1177-1185 - 2007
- [j5]Antti Honkela, Harri Valpola, Alexander Ilin, Juha Karhunen:
Blind separation of nonlinear mixtures by variational Bayesian learning. Digit. Signal Process. 17(5): 914-934 (2007) - [c8]Tapani Raiko, Alexander Ilin, Juha Karhunen:
Principal Component Analysis for Large Scale Problems with Lots of Missing Values. ECML 2007: 691-698 - [c7]Tapani Raiko, Alexander Ilin, Juha Karhunen:
Principal Component Analysis for Sparse High-Dimensional Data. ICONIP (1) 2007: 566-575 - 2006
- [b1]Alexander Ilin:
Advanced source separation methods with applications to spatio-temporal datasets. Helsinki University of Technology, Finland, 2006 - [j4]Alexander Ilin, Harri Valpola, Erkki Oja:
Exploratory analysis of climate data using source separation methods. Neural Networks 19(2): 155-167 (2006) - [c6]Alexander Ilin:
Independent dynamics subspace analysis. ESANN 2006: 345-350 - [c5]Sergey Borisov, Alexander Ilin, Ricardo Vigário
Comparison of BSS Methods for the Detection of alpha-Activity Components in EEG. ICA 2006: 430-437 - [c4]Alexander Ilin, Harri Valpola, Erkki Oja:
Extraction of Components with Structured Variance. IJCNN 2006: 5110-5117 - 2005
- [j3]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): 183-204 (2005) - [c3]Alexander Ilin, Harri Valpola:
Frequency-Based Separation of Climate Signals. PKDD 2005: 519-526 - [c2]Andrei M. Sukhov, Prasad Calyam, Warren Daly, Alexander Ilin:
Towards an Analytical Model for Characterizing Behavior of High-Speed VVoIP Applications. TNC 2005 - 2004
- [j2]Alexander Ilin, Harri Valpola, Erkki Oja:
Nonlinear dynamical factor analysis for state change detection. IEEE Trans. Neural Networks 15(3): 559-575 (2004) - [c1]Alexander Ilin, Antti Honkela:
Post-nonlinear Independent Component Analysis by Variational Bayesian Learning. ICA 2004: 766-773 - 2003
- [j1]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. 86-A(3): 532-541 (2003)
Coauthor Index
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last updated on 2024-08-23 19:26 CEST by the dblp team
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