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Samuel Kaski

Aalto University, The University of Manchester

126 papers hereh-index 6617.9k citations502 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author31
  • last author91

Across the 122 of 126 papers where every author was matched, so the position is known.

fields
  • stat.ML48
  • cs.LG43
  • cs.HC6
  • cs.AI4
  • q-bio.QM4
  • stat.CO4
affiliations
  • Aalto University, The University of Manchester
Homepage
same name
  • Samuel Kaski — 26 papers, h 7
  • Samuel Kaski — 18 papers, h 2
  • Samuel Kaski — 13 papers, h 4
  • Samuel Kaski — 9 papers, h 2
  • Samuel Kaski — 2 papers
  • Samuel Kaski — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20082024
most citedBayesian Group Factor Analysis

69 citations · 1.1k across the 120 of their papers we have counts for

collaborators
Showing 2014 · stat.MLShow all

4 papers · 2 filters

stat.ML2014★ 1 cited

Group Factor Analysis

Arto Klami, Seppo Virtanen, Eemeli Leppäaho +1

Factor analysis provides linear factors that describe relationships between individual variables of a data set. We extend this classical formulation into linear factors that descri…

stat.ML2014★ 29 cited

Bayesian multi-tensor factorization

Suleiman A. Khan, Eemeli Leppäaho, Samuel Kaski

We introduce Bayesian multi-tensor factorization, a model that is the first Bayesian formulation for joint factorization of multiple matrices and tensors. The research problem gene…

stat.ML2014★ 8 cited

Multiple Output Regression with Latent Noise

Jussi Gillberg, Pekka Marttinen, Matti Pirinen +7

In high-dimensional data, structured noise caused by observed and unobserved factors affecting multiple target variables simultaneously, imposes a serious challenge for modeling, b…

stat.ML2014

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.