42 citations · 53 across the 4 of their papers we have counts for
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stat.ML2017★ 42 cited
Non-Stationary Spectral Kernels
Sami Remes, Markus Heinonen, Samuel Kaski
We propose non-stationary spectral kernels for Gaussian process regression. We propose to model the spectral density of a non-stationary kernel function as a mixture of input-depen…
stat.ML2017★ 4 cited
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings
Sami Remes, Markus Heinonen, Samuel Kaski
We introduce a novel kernel that models input-dependent couplings across multiple latent processes. The pairwise joint kernel measures covariance along inputs and across different…
stat.ML2015★ 3 cited
Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers
Sami Remes, Tommi Mononen, Samuel Kaski
We propose a novel classification model for weak signal data, building upon a recent model for Bayesian multi-view learning, Group Factor Analysis (GFA). Instead of assuming all da…