1.6k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Politecnico di TorinoIT83 papers
- Collegio Carlo AlbertoIT36 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT27 papers
- Sapienza University of RomeIT21 papers
- Centre National de la Recherche ScientifiqueFR19 papers
- Istituto di NanotecnologiaIT19 papers
- National Research CouncilLK16 papers
- Sorbonne UniversitéFR14 papers
- Biologie Computationnelle, Quantitative et SynthétiqueFR12 papers
- École Normale Supérieure - PSLFR10 papers
- Institut de Biologie Paris-SeineFR9 papers
- Istituto Nazionale di Fisica NucleareIT9 papers
7 papers · 1 filter
Effectiveness of probabilistic contact tracing in epidemic containment: the role of super-spreaders and transmission path reconstruction
A. P. Muntoni, F. Mazza, A. Braunstein +2
The recent COVID-19 pandemic underscores the significance of early-stage non-pharmacological intervention strategies. The widespread use of masks and the systematic implementation…
DCAlign v1.0: Aligning biological sequences using co-evolution models and informed priors
Anna Paola Muntoni, Andrea Pagnani
DCAlign is a new alignment method able to cope with the conservation and the co-evolution signals that characterize the columns of multiple sequence alignments of homologous sequen…
Small-Coupling Dynamic Cavity: a Bayesian mean-field framework for epidemic inference
Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta +3
We present the Small-Coupling Dynamic Cavity (SCDC) method, a novel generalized mean-field approximation for epidemic inference and risk assessment within a fully Bayesian framewor…
Statistical Mechanics of Inference in Epidemic Spreading
Alfredo Braunstein, Louise Budzynski, Matteo Mariani
We investigate the information-theoretical limits of inference tasks in epidemic spreading on graphs in the thermodynamic limit. The typical inference tasks consist in computing ob…
Matrix Product Belief Propagation for reweighted stochastic dynamics over graphs
Stefano Crotti, Alfredo Braunstein
Stochastic processes on graphs can describe a great variety of phenomena ranging from neural activity to epidemic spreading. While many existing methods can accurately describe typ…
A Survey on the Densest Subgraph Problem and Its Variants
Tommaso Lanciano, Atsushi Miyauchi, Adriano Fazzone +1
The Densest Subgraph Problem requires to find, in a given graph, a subset of vertices whose induced subgraph maximizes a measure of density. The problem has received a great deal o…
Sorting of multiple molecular species on cell membranes
A. Piras, E. Floris, L. Dall'Asta +1
Eukaryotic cells maintain their inner order by a hectic process of distillation of molecular factors taking place on the surface of their lipid membranes. To understand the propert…