3 citations · 3 across the 1 of their papers we have counts for
2 papers
astro-ph.CO2020★ 3 cited
Accelerating MCMC algorithms through Bayesian Deep Networks
Hector J. Hortua, Riccardo Volpi, Dimitri Marinelli +1
Markov Chain Monte Carlo (MCMC) algorithms are commonly used for their versatility in sampling from complicated probability distributions. However, as the dimension of the distribu…
astro-ph.IM2019
Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks
Hector J. Hortua, Riccardo Volpi, Dimitri Marinelli +1
In this paper, we present the first study that compares different models of Bayesian Neural Networks (BNNs) to predict the posterior distribution of the cosmological parameters dir…