Speaker
Dr
Konstantinos Dialektopoulos
(Aristotle University of Thessaloniki)
Description
The prospect of nonparametric reconstructions of cosmological parameters from observational data sets has been a popular topic in the literature for a number of years. This has mainly taken the form of a technique based on Gaussian processes but this approach is exposed to several foundational issues ranging from overfitting to kernel consistency problems. In this talk, I will discuss the possibility of using artificial neural networks (ANN) to reconstruct late time expansion and large scale structure cosmological parameters.
