49 citations · 156 across the 29 of their papers we have counts for
5 papers · 1 filter
Nonparametric Inference for Auto-Encoding Variational Bayes
Erik Bodin, Iman Malik, Carl Henrik Ek +1
We would like to learn latent representations that are low-dimensional and highly interpretable. A model that has these characteristics is the Gaussian Process Latent Variable Mode…
Bayesian Alignments of Warped Multi-Output Gaussian Processes
Markus Kaiser, Clemens Otte, Thomas Runkler +1
We propose a novel Bayesian approach to modelling nonlinear alignments of time series based on latent shared information. We apply the method to the real-world problem of finding c…
Neural Translation of Musical Style
Iman Malik, Carl Henrik Ek
Music is an expressive form of communication often used to convey emotion in scenarios where "words are not enough". Part of this information lies in the musical composition where…
Latent Gaussian Process Regression
Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
We introduce Latent Gaussian Process Regression which is a latent variable extension allowing modelling of non-stationary multi-modal processes using GPs. The approach is built on…
Manifold Alignment Determination: finding correspondences across different data views
Andreas Damianou, Neil D. Lawrence, Carl Henrik Ek
We present Manifold Alignment Determination (MAD), an algorithm for learning alignments between data points from multiple views or modalities. The approach is capable of learning c…