activity
20102026
most citedInformation-theoretic thresholds from the cavity method

92 citations · 395 across the 40 of their papers we have counts for

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20 papers · 1 filter

math.PR2026

Satisfiability and freezing in random integer programs

Dylan J. Altschuler, Ruben Ascoli, Will Perkins

We study a model of a random centrally symmetric polytope and ask about the existence of points in the polytope with non-zero, integer coordinates. Our main results are the locatio…

math.PR2026

A simple proof of rapid mixing on random regular graphs beyond uniqueness

Andreas Göbel, Matthew Jenssen, Marcus Michelen +3

A recent breakthrough of Chen, Chen, Chen, Yin, and Zhang shows rapid mixing for Glauber dynamics for the hard-core model on random regular graphs beyond the tree uniqueness thresh…

math.PR2023

Percolation on hypergraphs and the hard-core model

Tyler Helmuth, Will Perkins, Michail Sarantis

We prove tight bounds on the site percolation threshold for -uniform hypergraphs of maximum degree and for -uniform hypergraphs of maximum degree in which any pair of…

math.PR2022★ 5 cited

Strong spatial mixing for repulsive point processes

Marcus Michelen, Will Perkins

We prove that a Gibbs point process interacting via a finite-range, repulsive potential exhibits a strong spatial mixing property for activities , where is the…

math.PR2021★ 1 cited

Potential-weighted connective constants and uniqueness of Gibbs measures

Marcus Michelen, Will Perkins

We define a potential-weighted connective constant that measures the effective strength of a repulsive pair potential of a Gibbs point process modulated by the geometry of the unde…

math.PR2021★ 1 cited

Frozen -RSB structure of the symmetric Ising perceptron

Will Perkins, Changji Xu

We prove, under an assumption on the critical points of a real-valued function, that the symmetric Ising perceptron exhibits the `frozen 1-RSB' structure conjectured by Krauth and…

math.PR2020★ 2 cited

Finite-size scaling, phase coexistence, and algorithms for the random cluster model on random graphs

Tyler Helmuth, Matthew Jenssen, Will Perkins

For and large as a function of , we give a detailed picture of the phase transition of the random cluster model on random -regular graphs. In particular, we dete…

math.PR2020★ 1 cited

Correlation decay for hard spheres via Markov chains

Tyler Helmuth, Will Perkins, Samantha Petti

We improve upon all known lower bounds on the critical fugacity and critical density of the hard sphere model in dimensions two and higher. As the dimension tends to infinity our i…

math.PR2019★ 1 cited

Efficient sampling and counting algorithms for the Potts model on at all temperatures

Christian Borgs, Jennifer Chayes, Tyler Helmuth +2

For and all we give an efficient algorithm to approximately sample from the -state ferromagnetic Potts and random cluster models on finite tori $(\mat…

math.PR2018★ 13 cited

Spin systems on Bethe lattices

Amin Coja-Oghlan, Will Perkins

In an extremely influential paper Mezard and Parisi put forward an analytic but non-rigorous approach called the cavity method for studying spin systems on the Bethe lattice, i.e.,…

math.PR2017

Bethe states of random factor graphs

Amin Coja-Oghlan, Will Perkins

We verify a key component of the replica symmetry breaking hypothesis put forward in the physics literature [Mézard and Montanari 2009] on random factor graph models. For a broad c…

math.PR2017★ 32 cited

On the hard sphere model and sphere packings in high dimensions

Matthew Jenssen, Felix Joos, Will Perkins

We prove a lower bound on the entropy of sphere packings of of density . The entropy measures how plentiful such packings are, and our result is si…

math.PR2017★ 6 cited

Large Deviations for the Empirical Distribution in the General Branching Random Walk

Oren Louidor, Eliad Tsairi

We consider the general branching random walk under minimal assumptions, which in particular guarantee that the empirical particle distribution admits an almost sure central limit…

math.PR2016

Belief Propagation on replica symmetric random factor graph models

Amin Coja-Oghlan, Will Perkins

According to physics predictions, the free energy of random factor graph models that satisfy a certain "static replica symmetry" condition can be calculated via the Belief Propagat…

math.PR2015★ 17 cited

Limits of discrete distributions and Gibbs measures on random graphs

Amin Coja-Oghlan, Will Perkins, Kathrin Skubch

Building upon the theory of graph limits and the Aldous-Hoover representation and inspired by Panchenko's work on asymptotic Gibbs measures (Annals of Probability 2013), we constru…

math.PR2015★ 22 cited

Spectral Thresholds in the Bipartite Stochastic Block Model

Laura Florescu, Will Perkins

We consider a bipartite stochastic block model on vertex sets and , with planted partitions in each, and ask at what densities efficient algorithms can recover the parti…

math.PR2015

Birthday Inequalities, Repulsion, and Hard Spheres

Will Perkins

We study a birthday inequality in random geometric graphs: the probability of the empty graph is upper bounded by the product of the probabilities that each edge is absent. We show…

math.PR2013★ 6 cited

On Sharp Thresholds in Random Geometric Graphs

Milan Bradonjić, Will Perkins

We give a characterization of vertex-monotone properties with sharp thresholds in a Poisson random geometric graph or hypergraph. As an application we show that a geometric model o…

math.PR2012

Large Deviations for the Empirical Distribution in the Branching Random Walk

Oren Louidor, Will Perkins

We consider the branching random walk on the real line where the underlying motion is of a simple random walk and branching is at least binary and at most decaying exponentially in…

math.PR2010

The Forgetfulness of Balls and Bins

William Perkins

We find the asymptotic total variation distance between two distributions on configurations of m balls in n labeled bins: in the first, each ball is placed in a bin uniformly at ra…