Valpola, Harri

15 publications

TMLR 2025 Efficient Knowledge Injection in LLMs via Self-Distillation Kalle Kujanpää, Pekka Marttinen, Harri Valpola, 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 Mean Teachers Are Better Role Models: Weight-Averaged Consistency Targets Improve Semi-Supervised Deep Learning Results Antti Tarvainen, Harri Valpola

ICLR 2017 Mean Teachers Are Better Role Models: Weight-Averaged Consistency Targets Improve Semi-Supervised Deep Learning Results Antti Tarvainen, Harri Valpola

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

NeurIPS 2016 Tagger: Deep Unsupervised Perceptual Grouping Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hao, Harri Valpola, Jürgen Schmidhuber

ICLR 2015 Denoising Autoencoder with Modulated Lateral Connections Learns Invariant Representations of Natural Images Antti Rasmus, Tapani Raiko, Harri Valpola

NeurIPS 2015 Semi-Supervised Learning with Ladder Networks Antti Rasmus, Mathias Berglund, Mikko Honkala, Harri Valpola, Tapani Raiko

ICLR 2013 Pushing Stochastic Gradient Towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities Tommi Vatanen, Tapani Raiko, Harri Valpola, Yann LeCun

AISTATS 2012 Deep Learning Made Easier by Linear Transformations in Perceptrons Tapani Raiko, Harri Valpola, Yann Lecun

JMLR 2007 Building Blocks for Variational Bayesian Learning of Latent Variable Models Tapani Raiko, Harri Valpola, Markus Harva, Juha Karhunen

UAI 2005 Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen

JMLR 2005 Denoising Source Separation Jaakko Särelä, Harri Valpola

NeurIPS 2004 Unsupervised Variational Bayesian Learning of Nonlinear Models Antti Honkela, Harri Valpola

NeCo 2002 An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models Harri Valpola, Juha Karhunen