Ilin, Alexander

13 publications

TMLR 2025 Efficient Knowledge Injection in LLMs via Self-Distillation Kalle Kujanpää, Pekka Marttinen, Harri Valpola, Alexander Ilin

TMLR 2025 ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis Bernard Spiegl, Andrea Perin, Stephane Deny, Alexander Ilin

ICML 2023 Hierarchical Imitation Learning with Vector Quantized Models Kalle Kujanpää, Joni Pajarinen, Alexander Ilin

NeurIPS 2023 Hybrid Search for Efficient Planning with Completeness Guarantees Kalle Kujanpää, Joni K. Pajarinen, Alexander Ilin

NeurIPSW 2022 Meta-Learning from Demonstrations Improves Compositional Generalization Sam Spilsbury, Alexander Ilin

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

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

NeurIPS 2017 Recurrent Ladder Networks Isabeau Prémont-Schwarz, Alexander Ilin, Tele Hao, Antti Rasmus, Rinu Boney, Harri Valpola

ECML-PKDD 2014 Linear State-Space Model with Time-Varying Dynamics Jaakko Luttinen, Tapani Raiko, Alexander Ilin

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

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

JMLR 2010 Practical Approaches to Principal Component Analysis in the Presence of Missing Values Alexander Ilin, Tapani Raiko

NeurIPS 2009 Variational Gaussian-Process Factor Analysis for Modeling Spatio-Temporal Data Jaakko Luttinen, Alexander Ilin