29 citations · 31 across the 6 of their papers we have counts for
6 papers
On the approximation of basins of attraction using deep neural networks
Joniald Shena, Konstantinos Kaloudis, Christos Merkatas +1
The basin of attraction is the set of initial points that will eventually converge to some attracting set. Its knowledge is important in understanding the dynamical behavior of a g…
System identification using Bayesian neural networks with nonparametric noise models
Christos Merkatas, Simo Särkkä
System identification is of special interest in science and engineering. This article is concerned with a system identification problem arising in stochastic dynamic systems, where…
Shades of Dark Uncertainty and Consensus Value for the Newtonian Constant of Gravitation
Christos Merkatas, Blaza Toman, Antonio Possolo +1
The Newtonian constant of gravitation, , stands out in the landscape of the most common fundamental constants owing to its surprisingly large relative uncertainty, which is attr…
Joint reconstruction and prediction of random dynamical systems under borrowing of strength
Spyridon J. Hatjispyros, Christos Merkatas
We propose a Bayesian nonparametric model based on Markov Chain Monte Carlo (MCMC) methods for the joint reconstruction and prediction of discrete time stochastic dynamical systems…
Dependent Mixtures of Geometric Weights Priors
Spyridon J. Hatjispyros, Christos Merkatas, Theodoros Nicoleris +1
A new approach on the joint estimation of partially exchangeable observations is presented by constructing pairwise dependence between random density functions, each of which i…
A Bayesian Nonparametric approach to Reconstruction and Prediction of Random Dynamical Systems
Christos Merkatas, Konstantinos Kaloudis, Spyridon J. Hatjispyros
We propose a Bayesian nonparametric mixture model for the reconstruction and prediction from observed time series data, of discretized stochastic dynamical systems, based on Markov…