59 citations · 464 across the 49 of their papers we have counts for
52 papers
Improved mean-field dynamical equations are able to detect the two-steps relaxation in glassy dynamics at low temperatures
David Machado, Roberto Mulet, Federico Ricci-Tersenghi
We study the stochastic relaxation dynamics of the Ising p-spin model on a random graph, a well-known model with glassy dynamics at low temperatures. We introduce and discuss a new…
A closure for the Master Equation starting from the Dynamic Cavity Method
Erik Aurell, David Machado Perez, Roberto Mulet
We consider classical spin systems evolving in continuous time with interactions given by a locally tree-like graph. Several approximate analysis methods have earlier been reported…
The mighty force: statistical inference and high-dimensional statistics
Erik Aurell, Jean Barbier, Aurelien Decelle +1
This is a review to appear as a contribution to the edited volume "Spin Glass Theory & Far Beyond - Replica Symmetry Breaking after 40 Years", World Scientific. It showcases a sele…
Path-integral solution of MacArthur's resource-competition model for large ecosystems with random species-resources couplings
A. R. Batista-Tomas, Andrea De Martino, Roberto Mulet
We solve MacArthur's resource-competition model with random species-resource couplings in the `thermodynamic' limit of infinitely many species and resources using dynamical path-in…
Inferring metabolic fluxes in nutrient-limited continuous cultures: A Maximum Entropy Approach with minimum information
Jose A. Pereiro-Morejón, Jorge Fernández-de-Cossio-Díaz, R. Mulet
We propose a new scheme to infer the metabolic fluxes of cell cultures in a chemostat. Our approach is based on the Maximum Entropy Principle and exploits the understanding of the…
Ancestral Sequence Reconstruction for Co-evolutionary models
Edwin Rodríguez Horta, Alejandro Lage-Castellanos, Roberto Mulet
The ancestral sequence reconstruction problem is the inference, back in time, of the properties of common sequence ancestors from measured properties of contemporary populations. S…