304 citations · 2.9k across the 57 of their papers we have counts for
57 papers
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…
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…
Phase separation and critical size in molecular sorting
Elisa Floris, Andrea Piras, Francesco Saverio Pezzicoli +3
Molecular sorting is a fundamental process that allows eukaryotic cells to distill and concentrate specific chemical factors in appropriate cell membrane subregions, thus endowing…
A Bayesian generative neural network framework for epidemic inference problems
Indaco Biazzo, Alfredo Braunstein, Luca Dall'Asta +1
The reconstruction of missing information in epidemic spreading on contact networks can be essential in the prevention and containment strategies. The identification and warning of…
Coordination problems on networks revisited: statics and dynamics
Luca Dall'Asta
Simple binary-state coordination models are widely used to study collective socio-economic phenomena such as the spread of innovations or the adoption of products on social network…
A Density Consistency approach to the inverse Ising problem
Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta +1
We propose a novel approach to the inverse Ising problem which employs the recently introduced Density Consistency approximation (DC) to determine the model parameters (couplings a…