activity
19942023
most citedCondensation in the Backgammon model

132 citations · 898 across the 50 of their papers we have counts for

collaborators

50 papers

cond-mat.stat-mech2023★ 2 cited

Partition function zeros of zeta-urns

P. Bialas, Z. Burda, D. A. Johnston

We discuss the distribution of partition function zeros for the grand-canonical ensemble of the zeta-urn model, where tuning a single parameter can give a first or any higher order…

cs.LG2023★ 6 cited

Training normalizing flows with computationally intensive target probability distributions

Piotr Bialas, Piotr Korcyl, Tomasz Stebel

Machine learning techniques, in particular the so-called normalizing flows, are becoming increasingly popular in the context of Monte Carlo simulations as they can effectively appr…

cond-mat.stat-mech2023★ 6 cited

Rényi Entropy of Zeta-Urns

Piotr Bialas, Zdzislaw Burda, Desmond A. Johnston

We calculate analytically the Renyi entropy for the zeta-urn model with a Gibbs measure definition of the micro-state probabilities. This allows us to obtain the singularities in t…

cond-mat.stat-mech2023★ 5 cited

On Random Allocation Models in the Thermodynamic Limit

Piotr Bialas, Zdzislaw Burda, Desmond A. Johnston

We discuss the phase transition and critical exponents in the random allocation model (urn model) for different statistical ensembles. We provide a unified presentation of the stat…

cond-mat.stat-mech2023

Mutual information of spin systems from autoregressive neural networks

Piotr Białas, Piotr Korcyl, Tomasz Stebel

We describe a new direct method to estimate bipartite mutual information of a classical spin system based on Monte Carlo sampling enhanced by autoregressive neural networks. It all…

cond-mat.stat-mech2022★ 5 cited

Simulating first-order phase transition with hierarchical autoregressive networks

Piotr Białas, Paulina Czarnota, Piotr Korcyl +1

We apply the Hierarchical Autoregressive Neural (HAN) network sampling algorithm to the two-dimensional -state Potts model and perform simulations around the phase transition at…