- Empirical evidence of the linear nature of magnetoencephalograms
- A STATE-SPACE METHOD FOR LANGUAGE MODELING Vesa Siivola and Antti Honkela
- A Gradient-Based Algorithm Competitive with Variational Bayesian EM for Mixture of Gaussians
- Approximating Nonlinear Transformations of Probability Distributions for Nonlinear Independent
- In Advances in Independent Component Analysis, ed. by Mark Girolami (Springer, 2000). In press.
- NONLINEAR INDEPENDENT COMPONENT ANALYSIS USING ENSEMBLE LEARNING: EXPERIMENTS AND DISCUSSION
- Natural Conjugate Gradient in Variational Inference
- Agglomerative Independent Variable Group Antti Honkela1
- Exploring the independence of gene regulatory Janne Nikkila, Antti Honkela, and Samuel Kaski
- SPEEDING UP CYCLIC UPDATE SCHEMES BY PATTERN SEARCHES Antti Honkela
- NONLINEAR SOURCE SEPARATION USING ENSEMBLE LEARNING AND MLP NETWORKS
- RANKING OF GENE REGULATORS THROUGH DIFFERENTIAL EQUATIONS AND GAUSSIAN PROCESSES
- AB HELSINKI UNIVERSITY OF TECHNOLOGY Department of Engineering
- Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches
- IEICE TRANS. , VOL.E82??, NO.1 JANUARY 1999 Nonlinear Blind Source Separation by Variational
- Variational Bayes for Continuous-Time Nonlinear State-Space Models
- In Advances in Independent Component Analysis, ed. by Mark Girolami, pp. 93-121, Springer, 2000.
- Nonlinear Static and Dynamic Blind Source Separation Using Ensemble Learning
- Bayes Blocks: A Python Toolbox for Variational Bayesian Antti Honkela, Markus Harva, Tapani Raiko, Harri Valpola, and Juha Karhunen
- Agglomerative Independent Variable Group Antti Honkela a, Jeremias Seppa a
- An Ensemble Learning Approach to Nonlinear Dynamic Blind Source Separation Using
- Time Series Prediction with Variational Bayesian Nonlinear State-Space Models
- Distributed Bayes Blocks for Variational Bayesian Learning Antti Honkela
- Unsupervised Variational Bayesian Learning of Nonlinear Models
- ABHELSINKI UNIVERSITY OF TECHNOLOGY Department of Engineering
- Journal of Machine Learning Research x (2010) x-x Submitted 07/2009; Published x/x Approximate Riemannian Conjugate Gradient Learning for
- Blind Separation of Nonlinear Mixtures by Variational Bayesian Learning
- 800 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 15, NO. 4, JULY 2004 Variational Learning and Bits-Back Coding
- VARIATIONAL INFERENCE AND LEARNING FOR NON-LINEAR STATE-SPACE MODELS WITH STATE-DEPENDENT OBSERVATION NOISE
- State Inference in Variational Bayesian Nonlinear State-Space Models
- Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework
- Post-Nonlinear Independent Component Analysis by Variational Bayesian Learning
- Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source
- ON-LINE VARIATIONAL BAYESIAN LEARNING Antti Honkela and Harri Valpola
- An Ensemble Learning Approach to Nonlinear Independent Component Analysis
- Helsinki University of Technology Publications in Computer and Information Science Report E10
- Compact Modeling of Data Using Independent Variable Group Analysis
- Helsinki University of Technology Publications in Computer and Information Science Report E6
- Helsinki University of Technology Publications in Computer and Information Science Report E3
- INDEPENDENT VARIABLE GROUP ANALYSIS IN LEARNING COMPACT REPRESENTATIONS FOR DATA
