94 citations · 404 across the 41 of their papers we have counts for
4 papers · 1 filter
Kernel Density Estimation-Based Markov Models with Hidden State
Gustav Eje Henter, Arne Leijon, W. Bastiaan Kleijn
We consider Markov models of stochastic processes where the next-step conditional distribution is defined by a kernel density estimator (KDE), similar to Markov forecast densities…
Bounded Information Rate Variational Autoencoders
D. T. Braithwaite, W. B. Kleijn
This paper introduces a new member of the family of Variational Autoencoders (VAE) that constrains the rate of information transferred by the latent layer. The latent layer is inte…
Bregman Monotone Operator Splitting
Kenta Niwa, W. Bastiaan Kleijn
Monotone operator splitting is a powerful paradigm that facilitates parallel processing for optimization problems where the cost function can be split into two convex functions. We…
Directional emphasis in ambisonics
W. Bastiaan Kleijn
We describe an ambisonics enhancement method that increases the signal strength in specified directions at low computational cost. The method can be used in a static setup to empha…