output
19912026
most citedGeometric deep learning: going beyond Euclidean data

3.7k citations

Showing 2005 · math.PRShow all

7 papers · 2 filters

math.PR2005

The Full Brownian Web as Scaling Limit of Stochastic Flows

Luiz Renato Fontes, Charles M. Newman

In this paper we construct an object which we call the full Brownian web (FBW) and prove that the collection of all space-time trajectories of a class of one-dimensional stochastic…

math.PR2005★ 2 cited

Random-Turn Hex and other selection games

Yuval Peres, Oded Schramm, Scott Sheffield +1

The game of Hex has two players who take turns placing stones of their respective colors on the hexagons of a rhombus-shaped hexagonal grid. Black wins by completing a crossing bet…

math.PR2005★ 7 cited

A large deviation inequality for vector functions on finite reversible Markov Chains

Vladislav Kargin

Let be the sum of vector-valued functions defined on a finite Markov chain. An analogue of the Bernstein--Hoeffding inequality is derived for the probability of large deviati…

math.PR2005★ 80 cited

Euler integrals for commuting SLEs

Julien Dubedat

Schramm-Loewner Evolutions (SLEs) have proved an efficient way to describe a single continuous random conformally invariant interface in a simply-connected planar domain; the admis…

math.PR2005★ 1 cited

A point process describing the component sizes in the critical window of the random graph evolution

Svante Janson, Joel Spencer

We study a point process describing the asymptotic behavior of sizes of the largest components of the random graph G(n,p) in the critical window p=n^{-1}+lambda n^{-4/3}. In partic…

math.PR2005

Random walks in a random environment

S R S Varadhan

Random walks as well as diffusions in random media are considered. Methods are developed that allow one to establish large deviation results for both the `quenched' and the `averag…