5 citations · 5 across the 9 of their papers we have counts for
6 papers · 1 filter
Unsupervised Machine Learning of the Contact Process
L. T. Brito, G. A. Alves, F. W. S. Lima +3
We investigate how unsupervised machine-learning methods can characterize the active-absorbing phase transition in the contact process in one and two spatial dimensions. Our analys…
Deep Learning of the Biswas-Chatterjee-Sen Model
J. F. Silva Neto, D. S. M. Alencar, L. T. Brito +5
We investigate the critical properties of kinetic continuous opinion dynamics using deep learning techniques. The system consists of continuous spin variables in the interval $…
Supervised and Unsupervised Deep Learning Applied to the Majority Vote Model
J. F. Silva Neto, D. S. M. Alencar, L. T. Brito +5
We employ deep learning techniques to investigate the critical properties of the continuous phase transition in the majority vote model. In addition to deep learning, principal com…
Kinetic Flat-Histogram Simulations of Non-Equilibrium Stochastic Processes with Continuous and Discontinuous Phase Transitions
L. M. C. Alencar, T. F. A. Alves, G. A. Alves +3
As far as we know, there is no flat-histogram algorithm to sample the stationary distribution of non-equilibrium stochastic processes. The present work addresses this gap by introd…
Generalized Diffusive Epidemic Process with Permanent Immunity in Two Dimensions
V. R. Carvalho, T. F. A. Alves, G. A. Alves +4
We introduce the generalized diffusive epidemic process, which is a metapopulation model for an epidemic outbreak where a non-sedentary population of walkers can jump along lattice…
Critical Short-Time Behavior of Majority-Vote Model on Scale-Free Networks
D. S. M. Alencar, J. F. S. Neto, T. F. A. Alves +4
We discuss the short-time behavior of the majority vote dynamics on scale-free networks at the critical threshold. We introduce a heterogeneous mean-field theory on the critical sh…