Antti Honkela

Peter Glaus, Antti Honkela, Magnus Rattray: Identifying differentially expressed transcripts from RNA-seq data with biological variation. Bioinformatics 28(13): 1721-1728 (2012)

Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen: Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework. CoRR abs/1207.1380 (2012)

Antti Honkela, Pei Gao, Jonatan Ropponen, Magnus Rattray, Neil D. Lawrence: tigre: Transcription factor inference through gaussian process reconstruction of expression for bioconductor. Bioinformatics 27(7): 1026-1027 (2011)

Ulpu Remes, Kalle J. Palomäki, Tapani Raiko, Antti Honkela, Mikko Kurimo: Missing-Feature Reconstruction With a Bounded Nonlinear State-Space Model. IEEE Signal Process. Lett. 18(10): 563-566 (2011)

Bjoern H. Menze, Koen Van Leemput, Antti Honkela, Ender Konukoglu, Marc-André Weber, Nicholas Ayache, Polina Golland: A Generative Approach for Image-Based Modeling of Tumor Growth. IPMI 2011: 735-747

Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti Tornio, Juha Karhunen: Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes. Journal of Machine Learning Research 11: 3235-3268 (2010)

Mikael Kuusela, Tapani Raiko, Antti Honkela, Juha Karhunen: A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians. IJCNN 2009: 1688-1695

Antti Honkela, Jeremias Seppä, Esa Alhoniemi: Agglomerative independent variable group analysis. Neurocomputing 71(7-9): 1311-1320 (2008)

Pei Gao, Antti Honkela, Magnus Rattray, Neil D. Lawrence: Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities. ECCB 2008: 70-75

Antti Honkela, Harri Valpola, Alexander Ilin, Juha Karhunen: Blind separation of nonlinear mixtures by variational Bayesian learning. Digital Signal Processing 17(5): 914-934 (2007)

Esa Alhoniemi, Antti Honkela, Krista Lagus, Santeri Jeremias Seppä, Paul Wagner, Harri Valpola: Compact Modeling of Data Using Independent Variable Group Analysis. IEEE Transactions on Neural Networks 18(6): 1762-1776 (2007)

Antti Honkela, Jeremias Seppä, Esa Alhoniemi: Agglomerative Independent Variable Group Analysis. ESANN 2007: 55-60

Antti Honkela, Matti Tornio, Tapani Raiko, Juha Karhunen: Natural Conjugate Gradient in Variational Inference. ICONIP (2) 2007: 305-314

Tapani Raiko, Matti Tornio, Antti Honkela, Juha Karhunen: State Inference in Variational Bayesian Nonlinear State-Space Models. ICA 2006: 222-229

Antti Honkela, Tomas Östman, Ricardo Vigário: Empirical evidence of the linear nature of magnetoencephalograms. ESANN 2005: 285-290

Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen: Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework. UAI 2005: 259-266

Antti Honkela, Harri Valpola: Variational learning and bits-back coding: an information-theoretic view to Bayesian learning. IEEE Transactions on Neural Networks 15(4): 800-810 (2004)

Alexander Ilin, Antti Honkela: Post-nonlinear Independent Component Analysis by Variational Bayesian Learning. ICA 2004: 766-773

Antti Honkela, Stefan Harmeling, Leo Lundqvist, Harri Valpola: Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method. ICA 2004: 790-797

Antti Honkela, Harri Valpola: Unsupervised Variational Bayesian Learning of Nonlinear Models. NIPS 2004

Antti Honkela, Harri Valpola, Juha Karhunen: Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches. Neural Processing Letters 17(2): 191-203 (2003)