6 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 at the basis of a myriad of applications. The Matrix-Product Belief…
Inference in conditioned dynamics through causality restoration
Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta +2
Computing observables from conditioned dynamics is typically computationally hard, because, although obtaining independent samples efficiently from the unconditioned dynamics is us…
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…
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…
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…
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…