March 11

Matthew Junge
(University of Washington)
The frog model on trees

March 4

Qingsan Zhu
(University of British Columbia)
An upper bound for the probability of visiting a distant point by critical branching random walk in $Z^4$

Feb. 25

Gordon Slade
(University of British Columbia)
A new proof of the sharpness of the percolation phase transition

Jan. 29

Camelia Pop
(U. of Pennsylvania)
Harnack inequalities for degenerate diffusions

Jan. 15

Georg Menz
(Stanford University)
A two scale proof of the EyringKramers formula

Jan. 13

Joe Neeman
(UT Austin)
Gaussian noise stability

Jan. 8

Roland Bauerschmidt
(Harvard University)
Specific heat of 4D spin models

Jan. 6

Elliot Paquette
(Weizmann Institute of Science)
Stationary random graphs and the hyperbolic Poisson Voronoi tessellation

Nov. 26

Stefan Adams
(Warwick University)
Phase Transitions in Continuum Delaunay Potts Models

Nov. 19

Mathav Murugan
(Cornell University)
Random walks on metric measure spaces

Nov. 12

Martin Barlow
(UBC)
The uniform spanning tree in two dimensions and its scaling limit

Nov. 5

Tom Salisbury
(York University)
Random walk in nonelliptic random environments

Oct. 29

Júlia Komjáthy
(Eindhoven University of Technology)
Degree distribution of shortest path trees and bias in network sampling algorithms

Oct. 22

Tom Hutchcroft
(UBC)
Unimodular hyperbolic triangulations

Oct. 15

Paul Tupper
(Simon Fraser University)
Modelling and simulating systems with statedependent diffusion

Oct. 1

Xinghua Zheng
(Hong Kong University of Science and Technology)
Solving the highdimensional Markowitz Optimization Problem: a tale of sparse solutions

Sep. 24

Takashi Kumagai
(Kyoto University)
Quenched Invariance Principle for a class of random conductance models with longrange jumps

Sep. 10

Akira Sakai
(Hokkaido University)
Critical twopoint function for the \(\varphi^4\) model in dimensions \(d>4\)

Sep. 10

Agelos Georgakopoulos
(University of Warwick)
Group walk random graphs

Sep. 3

Codina Cotar
(University College London)
Gradient Gibbs measures with disorder
