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20232026
most citedOn the tractability of sampling from the Potts model at low temperatures via random-cluster dynamics

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

math.PR2026

Optimal mixing of the systematic scan dynamics via approximate tensorization of entropy

Antonio Blanca, Md Tahmidur Rafid

We study the mixing time of the systematic scan dynamics for high-dimensional discrete distributions. This Markov chain updates coordinates sequentially according to a fixed predet…

math.PR2026

Mixing and cutoff for the systematic scan dynamics of the mean-field ferromagnetic Potts model

Antonio Blanca, Md Tahmidur Rafid

We study the mixing time of the systematic scan dynamics for the -state ferromagnetic Potts model on the -vertex complete graph, known as the mean-field model. This Markov ch…

math.PR2026

Uniqueness and Mixing in the Low-Temperature Random-Cluster Model on Trees and Random Graphs

Antonio Blanca, Reza Gheissari, Heehyun Park +1

We study the random-cluster model on trees and treelike graphs at low temperatures. This is a model of dependent percolation parametrized by an edge probability and a…

math.PR2025

Cutoff for the Swendsen-Wang dynamics on the complete graph

Antonio Blanca, Zhezheng Song

We study the speed of convergence of the Swendsen-Wang (SW) dynamics for the -state ferromagnetic Potts model on the -vertex complete graph, known as the mean-field model. Th…

math.PR2024

Mean-field Potts and random-cluster dynamics from high-entropy initializations

Antonio Blanca, Reza Gheissari, Xusheng Zhang

A common obstruction to efficient sampling from high-dimensional distributions with Markov chains is the multimodality of the target distribution because they may get trapped far f…

math.PR2023★ 1 cited

On the tractability of sampling from the Potts model at low temperatures via random-cluster dynamics

Antonio Blanca, Reza Gheissari

Sampling from the -state ferromagnetic Potts model is a fundamental question in statistical physics, probability theory, and theoretical computer science. On general graphs, thi…