activity
20132026
most citedIn silico screening of drug-membrane thermodynamics reveals linear relations between bulk partitioning and the potential of mean force

45 citations · 161 across the 16 of their papers we have counts for

collaborators

18 papers

cs.LG2026

Coarse-Graining Hidden Representations: Unsupervised Neuron Selection via Mapping Entropy

Margherita Mele, Andrea Castagna, Roberto Menichetti +2

Overparameterized neural networks carry far more hidden units than a task nominally requires, raising the question of which neurons are essential and whether that distinction is le…

cond-mat.soft2025

Artificial life of an active droplets system: a quantitative lifecycle analysis

Matteo Scandola, Silvia Holler, Richard J. G. Loeffler +3

The study of synthetic active matter systems holds the promise for designing smart materials and devices with emergent characteristics akin to those of living organisms, eventually…

cond-mat.stat-mech2024

Density of states in neural networks: an in-depth exploration of learning in parameter space

Margherita Mele, Roberto Menichetti, Alessandro Ingrosso +1

Learning in neural networks critically hinges on the intricate geometry of the loss landscape associated with a given task. Traditionally, most research has focused on finding spec…

q-bio.BM2024★ 6 cited

A multi-scale analysis of the CzrA transcription repressor highlights the allosteric changes induced by metal ion binding

Marta Rigoli, Raffaello Potestio, Roberto Menichetti

Allosteric regulation is a widespread strategy employed by several proteins to transduce chemical signals and perform biological functions. Metal sensor proteins are exemplary in t…

cond-mat.dis-nn2024

Low-resolution descriptions of model neural activity reveal hidden features and underlying system properties

Riccardo Aldrigo, Roberto Menichetti, Raffaello Potestio

The analysis of complex systems such as neural networks is made particularly difficult by the overwhelming number of their interacting components. In the absence of prior knowledge…

cond-mat.soft2024

EXCOGITO, an extensible coarse-graining toolbox for the investigation of biomolecules by means of low-resolution representation

Marco Giulini, Raffaele Fiorentini, Luca Tubiana +2

Bottom-up coarse-grained (CG) models proved to be essential to complement and sometimes even replace all-atom representations of soft matter systems and biological macromolecules.…