304 citations · 2.4k across the 61 of their papers we have counts for
61 papers
Matrix-Product Belief Propagation for continuous-state-space variables
Federico Florio, Alfredo Braunstein
Computation of observables in discrete stochastic, possibly conditioned, dynamics over large sparse networks is fundamental for a myriad of applications. The Matrix-Product Belief…
Enzyme-driven phase separation
Damiano Andreghetti, Alfredo Braunstein, Luca Dall'Asta +1
The formation of polarized signaling domains on cell membranes is a fundamental example of biological pattern formation. While such patterns resemble structures from equilibrium ph…
Evidence of Replica Symmetry Breaking under the Nishimori conditions in epidemic inference on graphs
Alfredo Braunstein, Louise Budzynski, Matteo Mariani +1
In Bayesian inference, computing the posterior distribution from the data is typically a non-trivial problem, which usually requires approximations such as mean-field approaches or…
Nonequilibrium steady-state dynamics of Markov processes on graphs
Stefano Crotti, Thomas Barthel, Alfredo Braunstein
We propose an analytic approach for the steady-state dynamics of Markov processes on locally tree-like graphs. It is based on time-translation invariant probability distributions f…
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…
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…