61 citations · 84 across the 8 of their papers we have counts for
9 papers
Census-Independent Population Estimation using Representation Learning
Isaac Neal, Sohan Seth, Gary Watmough +1
Knowledge of population distribution is critical for building infrastructure, distributing resources, and monitoring the progress of sustainable development goals. Although censuse…
Model Criticism in Latent Space
Sohan Seth, Iain Murray, Christopher K. I. Williams
Model criticism is usually carried out by assessing if replicated data generated under the fitted model looks similar to the observed data, see e.g. Gelman, Carlin, Stern, and Rubi…
Modelling-based experiment retrieval: A case study with gene expression clustering
Paul Blomstedt, Ritabrata Dutta, Sohan Seth +2
Motivation: Public and private repositories of experimental data are growing to sizes that require dedicated methods for finding relevant data. To improve on the state of the art o…
Retrieval of Experiments by Efficient Estimation of Marginal Likelihood
Sohan Seth, John Shawe-Taylor, Samuel Kaski
We study the task of retrieving relevant experiments given a query experiment. By experiment, we mean a collection of measurements from a set of `covariates' and the associated `ou…
Probabilistic Archetypal Analysis
Sohan Seth, Manuel J. A. Eugster
Archetypal analysis represents a set of observations as convex combinations of pure patterns, or archetypes. The original geometric formulation of finding archetypes by approximati…
Bayesian Extensions of Kernel Least Mean Squares
Il Memming Park, Sohan Seth, Steven Van Vaerenbergh
The kernel least mean squares (KLMS) algorithm is a computationally efficient nonlinear adaptive filtering method that "kernelizes" the celebrated (linear) least mean squares algor…
Retrieval of Experiments with Sequential Dirichlet Process Mixtures in Model Space
Ritabrata Dutta, Sohan Seth, Samuel Kaski
We address the problem of retrieving relevant experiments given a query experiment, motivated by the public databases of datasets in molecular biology and other experimental scienc…
Exploration and retrieval of whole-metagenome sequencing samples
Sohan Seth, Niko Välimäki, Samuel Kaski +1
Over the recent years, the field of whole metagenome shotgun sequencing has witnessed significant growth due to the high-throughput sequencing technologies that allow sequencing ge…
Kernel methods on spike train space for neuroscience: a tutorial
Il Memming Park, Sohan Seth, Antonio R. C. Paiva +2
Over the last decade several positive definite kernels have been proposed to treat spike trains as objects in Hilbert space. However, for the most part, such attempts still remain…