226 citations · 695 across the 31 of their papers we have counts for
33 papers
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…
The bliss of dimensionality: how an unsupervised criterion identifies optimal low-resolution representations of high-dimensional datasets
Margherita Mele, Daniel Campos Moreno, Raffaello Potestio
Selecting the optimal resolution for discretizing high-dimensional data is a central problem in physics and data analysis, particularly in unsupervised settings where the underlyin…
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…
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…
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…
Molecular dynamics characterization of the free and encapsidated RNA2 of CCMV with the oxRNA model
Giovanni Mattiotti, Manuel Micheloni, Lorenzo Petrolli +3
The cowpea chlorotic mottle virus (CCMV) has emerged as an exemplary model system to assess the balance between electrostatic and topological features of ssRNA viruses, specificall…