Author

Margherita Mele

Observed name: Mele, Margherita

Institutions: Istituto Nazionale di Fisica Nucleare, University of Trento, Istituto Nazionale di Fisica Nucleare, Trento Institute for Fundamental Physics And Applications

Observed institutions: Istituto Nazionale di Fisica Nucleare, University of Trento, Istituto Nazionale di Fisica Nucleare, Trento Institute for Fundamental Physics And Applications

ORCID: 0000-0002-3971-7987

Observed ORCID: 0000-0002-3971-7987

OpenAlex ID: A5038724431

Information-theoretical measures identify accurate low-resolution representations of protein configurational space

2022 · Margherita Mele, Roberto Covino, et al. · Soft Matter · 9

Project files provided as supporting information to the manuscript "The bliss of dimensionality: how an unsupervised criterion identifies optimal low-resolution representations of high-dimensional datasets"

2026 · Potestio, Raffaello, Mele, Margherita · Zenodo (CERN European Organization for Nuclear Research) · 1

Determining the Optimal Structural Resolution of Proteins through an Information-Theoretic Analysis of Their Conformational Ensemble

2026 · Margherita Mele, Raffaele Fiorentini, et al. · Journal of Chemical Theory and Computation · 1

Bliss of dimensionality: How an unsupervised criterion identifies optimal low-resolution representations of high-dimensional datasets

2026 · Margherita Mele, Daniel Campos, et al. · Physical Review Research

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

2026 · Mele, Margherita, Castagna, Andrea, et al. · arXiv (Cornell University)

Emergent information from low-resolution representations. Methods and applications from protein simulations to artificial neural networks.

2026 · Potestio, Raffaello, Mele, Margherita · Iris (University of Trento)

Determining the optimal structural resolution of proteins through an information-theoretic analysis of their conformational ensemble

2025 · Mele, Margherita, Fiorentini, Raffaele, et al. · NCCR MARVEL

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

2024 · Mele, Margherita, Menichetti, Roberto, et al. · arXiv (Cornell University)

Project files provided as supporting information to the manuscript "Information-theoretical measures identify accurate low-resolution representations of protein configurational space"

2022 · Mele, Margherita, Covino, Roberto, et al. · Zenodo (CERN European Organization for Nuclear Research)

Works count: 10

Citation count: 11

H-index: 1

I10-index: