11 citations · 41 across the 21 of their papers we have counts for
3 papers · 2 filters
Neural Non-Stationary Spectral Kernel
Sami Remes, Markus Heinonen, Samuel Kaski
Standard kernels such as Matérn or RBF kernels only encode simple monotonic dependencies within the input space. Spectral mixture kernels have been proposed as general-purpose, fle…
Deep learning with differential Gaussian process flows
Pashupati Hegde, Markus Heinonen, Harri Lähdesmäki +1
We propose a novel deep learning paradigm of differential flows that learn a stochastic differential equation transformations of inputs prior to a standard classification or regres…
Deep convolutional Gaussian processes
Kenneth Blomqvist, Samuel Kaski, Markus Heinonen
We propose deep convolutional Gaussian processes, a deep Gaussian process architecture with convolutional structure. The model is a principled Bayesian framework for detecting hier…