This review paper utilizes renormalization group techniques for signal detection in nearly
continuous positive spectra. We emphasize the universal aspects of the analogue field …

Signal detection is one of the main challenges in data science. As often happens in data
analysis, the signal in the data may be corrupted by noise. There is a wide range of …

Phase transitions with spontaneous symmetry breaking are expected for group field theories
as a basic feature of the geometogenesis scenario. The following paper aims to investigate …

In this paper, we investigate the large-time behavior for a slightly modified version of the
standard p= 2 soft spins dynamics model, including a quartic or higher potential. The …

This paper aims at using the functional renormalization group formalism to study the
equilibrium states of a stochastic process described by a quench–disordered multilinear …

This thesis is dedicated to the study of stochastic processes; non-deterministic physical
phenomena that can be well described by classical physics. The stochastic processes we …